《IEEE:2025年顶级技术趋势预测报告(英文版)(56页).pdf》由会员分享,可在线阅读,更多相关《IEEE:2025年顶级技术趋势预测报告(英文版)(56页).pdf(56页珍藏版)》请在三个皮匠报告上搜索。
1、Technology Predictions 2025Ali Abedi,Mohamed Amin,Cherif Amirat,Jyotika Athavale,Mary Baker,Greg Byrd,Kyle Chard,Tom Coughlin,Izzat El Hajj,Paolo Faraboschi,Rafael Ferreira da Silva,Nicola Ferrier,Eitan Frachtenberg,Jean-Luc Gaudiot,Ada Gavrilovska Habl,Alfredo Goldman,Mike Ignatowski,Lizy K.John,Vi
2、ncent Kaabunga,Mrinal Karvir,Hironori Kasahara,Witold Kinsner,Danny Lange,Phillip A Laplante,Keqiu Li,Avi Mendelson,Cecilia Metra,Dejan Milojicic(chair),Puneet Mishra,Christine Miyachi,Khaled Mokhtar,Chengappa Munjandira,Bob Parro,Sudeep Pasricha,Nita Patel,Alexandra Posoldova,Marina Ruggieri,Tomy S
3、ebastian,Farzin Shadpour,Sohaib Sheikh,Saurabh Sinha,Vesna Sossi,Luka Strezoski,Vladimir Terzija,George Thiruvathukal,Michelle Tubb,Gordana Velikic,John Verboncoeur,Irene Pazos Viana,Jeffrey Voas,Rod Waterhouse,Stefano Zanero,Gerd Zellweger,Ying Zhang.IEEE Computer Society technology experts have un
4、veiled 22 breakthrough technologies set to redefine industries and shape the future of our world for decades to come.Technology Predictions:From Hypothetical Exercise Hypothetical Exercise to Strategic AdvantageStrategic AdvantageThe 53-member 2025 Technology Predictions Team foresees:accelerated gr
5、owth in many AI facets,requiring reskillingof workforceUS-centric reduction in interest in sustainability,due to new economic and socio-political pressures(not globally,though)ever-increasing automation in many dimensions,setting stage for additional AI opportunitiesbiotechnologys rapid development
6、under the radar(e.g.“AI-assisted drug discovery”,“AI-based medical diagnostics”)The 22 technology predictions(see next slide)were:made in 6 categories:verticals(6);applied AI(4);user interfaces(2);non-functional characteristics(4);applied computing(3);and energy-related(3)evaluated for likelihood of
7、 success in 2025,impact to humanity,maturity,market adoption,adoption horizon(The most likely to succeed&adopted is LLM deployment;the most impact to humanity is AI-assisted drug discovery)correlated and confidence interpreted as a standard deviationmapped to the IEEE Future Direction Committees(FDC
8、s)Megatrends as a guiding principles for technology trends13Executive Summary238.Autonomous driving(B+):Autonomous vehicles will reduce emissions,enhance safety,and transform urban logistics,but widespread adoption hinges on regulatory approvals and public trust.9.SmartAg(B+):AI-driven systems will
9、improve crop yields,resource management,and sustainability,addressing food security through real-time soil and climate monitoring.10.Functional safety/autonomous vehicles(B):Advanced safety frameworks will ensure autonomous vehicles operate reliably in public and commercial sectors,gaining trust for
10、 broader adoption.11.AI-assisted drug discovery(B):Advances in AI will speed up drug discovery,identifying novel compounds and treatments,though data quality and regulatory hurdles remain.12.Sustainable computing(B):Data centers will adopt energy-efficient hardware,intelligent resource management,an
11、d renewable energy,though scaling sustainability practices remains a challenge.13.Mis/Disinformation(B):AI tools will detect and mitigate misinformation,countering its rapid dissemination on social networks to protect public opinion and trust.14.AI-based medical diagnosis(B):AI will enhance diagnost
12、ic precision,particularly in radiology and pathology,improving patient outcomes while reducing clinician workloads.2025 Technology Predictions-Ordered by Technology Development Grade1.Large Language Model(LLM)deployment(A-):We will see deployments of new types of language models,such as Small Langua
13、ge Models and exotic special-purpose models.2.Drone adoption(A/B):Drone-as-a-Service(DaaS)will redefine logistics,agriculture,and disaster response,offering reliable,low-cost solutions with quick turnarounds across diverse industries.3.AI agents(A/B):AI agents combining LLMs,machine learning(ML)mode
14、ls,and rule-based systems will provide autonomous,highly specialized solutions for finance,manufacturing,and retail operations.4.AI-enhanced robotics(B+):Embodied intelligence will enable robots to perceive,learn,and collaborate in dynamic environments,achieving unprecedented autonomy and human-like
15、 adaptability.5.Wearables/biomarkers in medicine/wellness(B+):Wearables will track biomarkers for early disease detection and proactive wellness,expanding beyond fitness tracking to medical-grade monitoring for chronic conditions.6.IT/energy convergence(B+):Energys digital transformation will mirror
16、 ITs evolution,enabling sustainable grids,renewable integration,and exponential AI growth for efficient power delivery.7.Augmented artificial intelligence(B+):Augmented AI will redefine human-machine collaboration,blending machine precision with human oversight for inclusive,ethical solutions in hea
17、lthcare,finance,and education.Please see backup slides for more detailed description(One-slide summary of Problems/Demand,Opportunities,Impact,and Sustainable Solution/Business Opportunity,including Enablers/Inhibitors,for each prediction.)332025 Technology Predictions-Ordered by Technology Developm
18、ent Grade(continued)19.Nuclear-powered data centers(B/C):Small Modular Reactors(SMRs)will provide steady,carbon-neutral energy for data centers.Regulatory approvals,scalability,and public acceptance remain significant hurdles.20.Tools and policies for AI regulation(B/C):Frameworks for AI ethics and
19、governance will emerge.Challenges include harmonizing global standards and ensuring effective enforcement mechanisms.21.Brain Computer Interfaces(BCIs)(C+):BCIs will assist individuals with disabilities and enhance communication.High costs,safety concerns,and scalability hinder broader use cases.22.
20、Space computing(C+):Reliable,autonomous computing will support deep-space missions.Challenges include radiation hardening,limited power supply,and extreme environmental conditions.15.AI-optimized green HPC(B-):AI will optimize HPC workflows,reducing energy consumption.Challenges include high costs a
21、nd developing reliable energy measurement and allocation methods.16.Next-gen cyberwarfare (B-):AI-driven cyber defenses will counter evolving threats.Challenges include international collaboration,response speed,and defending against increasingly AI-enhanced attacks.17.New battery chemistries(B-):So
22、lid-state and sodium-ion batteries will enhance energy density and safety.Challenges include scaling production and managing supply chain dependencies.18.Data feudalism(B-):New tools will empower users to regain control over data.Challenges include enforcing equitable access and aligning global regu
23、latory frameworks.Please see backup slides for more detailed description(One-slide summary of Problems/Demand,Opportunities,Impact,and Sustainable Solution/Business Opportunity,including Enablers/Inhibitors,for each prediction.)3verticalsapplied AIuser interfacesnon-functional characteristicsapplied
24、 computingenergyLLM deploymentAI agentsAugmented AITools and policies for AI regulation Wearables/biomarkers in medicine/wellness Brain Computer Interfaces(BCIs)Autonomous drivingFunctional safety/autonomous vehiclesMis/DisinformationData feudalismIT/energy convergenceSustainable computingAI-optimiz
25、ed green HPCSpace computingNuclear-powered data centers New battery chemistries4Landscape of Predicted TechnologiesSmartAgNext-gencyberwarfare AI-based medical diagnosisAI-assisted drugdiscoveryDrone adoptionAI-enhanced roboticsPrediction:Tech.Development in 2025(x axis)vs Impact to Humanity(y axis)
26、(size of bubble proportional to relative market adoption)53 2025 Technology PredictionsPrediction:Tech.Development in 2025(x axis)vs Impact to Humanity(y axis)(size of bubble proportional to relative market adoption)63 Largest impact on humanityHighest chance of successLargest market adoptionMost ma
27、tureLowest market adoptionLowest maturity Lowest chance of successLowest impact on humanity2025 Technology Predictions(Lowest/Highest)Impact on humanity higher than chance of tech success(worth investing in)Impact on humanity higher than chance of tech success(worth investing in)Prediction:Tech.Deve
28、lopment in 2025(x axis)vs Impact to Humanity(y axis)(size of bubble proportional to relative market adoption)73Chance of tech success higher than impact on humanityChance of success correlates to impact on humanityImpact on humanity higher than chance of tech success(worth investing in)Impact on hum
29、anity higher than chance of tech success(worth investing in)Comparing 2025 Technology Predictions,Outliers Prediction:Tech.Development in 2025(x axis)vs Impact to Humanity(y axis)(size of bubble proportional to relative market adoption)83(continued)Comparing 2025 Technology Predictions,OutliersBehin
30、d its cluster in terms of likelihood of success in 2025Ahead of its cluster in terms of likelihood of success in 202593RankSuccess in 2025Impact to HumanityMaturity in 2025Market Adoption(2025)Commercial Adoption HorizonTechnologyGradeTechnologyGradeTechnologyGradeTechnologyGradeTechnology#Years1LLM
31、 deploymentA-AI-assisted drug discoveryADrone adoptionBLLM deploymentA/BBrain Computer Interfaces9.602Drone adoptionA/BAI-based Medical DiagnosisA-LLM deploymentBDrone adoptionB+Space computing9.483AI AgentsA/BWearables/biomarkers A-Wearables/biomarkersB-AI AgentsB+Nucl.Powered Data Centers 6.544AI-
32、Enhanced RoboticsB+Tools and Policies for AIA-Autonomous drivingB-Mis/DisinformationBNew Battery Chemistries6.505Wearables/biomarkers B+SmartAgA-AI AgentsB-Wearables/biomarkersBAI-Optimized Green HPC5.836IT/Energy ConvergenceB+Sustainable ComputingA/BAI-Enhanced RoboticsB-Autonomous drivingBSustaina
33、ble Computing5.607Augmented AIB+New Battery ChemistriesA/BMis/DisinformationB/CFunct.Safety/AutonomousBAI-assisted drug discovery5.218Autonomous drivingB+IT/Energy ConvergenceA/BAI-based Medical DiagnosisB/CAugmented AIBIT/Energy Convergence5.069SmartAgB+Mis/DisinformationA/BSmartAgB/CIT/Energy Conv
34、ergenceB-Data Feudalism4.9010Funct.Safety/AutonomousBAI-Enhanced RoboticsA/BFunct.Safety/AutonomousB/CNext-gen cyberwarfare B-Autonomous driving4.8311AI-assisted drug discoveryBLLM deploymentA/BAugmented AIB/CSmartAgB-Tools and Policies for AI4.7912Sustainable ComputingBFunct.Safety/AutonomousA/BNex
35、t-gen cyberwarfare B/CAI-based Medical DiagnosisB-SmartAg4.7713Mis/DisinformationBBrain Computer InterfacesB+AI-assisted drug discoveryB/CAI-assisted drug discoveryB-AI-based Medical Diagnosis4.7514AI-based Medical DiagnosisBAI AgentsB+Sustainable ComputingC+Data FeudalismB-Funct.Safety/Autonomous4.
36、7315AI-Optimized Green HPCB-Autonomous drivingB+IT/Energy ConvergenceC+Sustainable ComputingB-Next-gen cyberwarfare 4.5816Next-gen cyberwarfare B-Augmented AIB+Data FeudalismC+AI-Enhanced RoboticsB-AI-Enhanced Robotics4.2517New Battery ChemistriesB-AI-Optimized Green HPCB+Tools and Policies for AIC+
37、Tools and Policies for AIB/CAugmented AI4.0618Data FeudalismB-Nucl.Powered Data Centers B+Nucl.Powered Data Centers C+New Battery ChemistriesB/CWearables/biomarkers 3.7519Nucl.Powered Data Centers B/CDrone adoptionB+New Battery ChemistriesC+AI-Optimized Green HPCC+Mis/Disinformation3.6920Tools/Polic
38、ies for AIB/CNext-gen cyberwarfare BAI-Optimized Green HPCC+Nucl.Powered Data Centers CAI Agents3.1521Brain Computer InterfacesC+Data FeudalismB-Space computingCSpace computingCDrone adoption2.8322Space computingC+Space computingB-Brain Computer InterfacesCBrain Computer InterfacesC-LLM deployment2.
39、542025 Technology Predictions Detailed Comparison 103Success in 2025Impact to HumanityMaturity in 2025Market Adoption in 2025Horizon to Commercial Adoption(#years)AverageRangeAverageRangeAverageRangeAverageRangeAverageRangeB-A/B,C/D A-,C B+,C/D B+,D 81 2.29-9.66Success in 2025Impact to HumanityMatur
40、ity in 2025Market Adoption24Success in 202510.470.900.96Impact to Humanity0.4710.360.44Maturity in 20250.900.3610.93Market Adoption in 20250.960.440.931Success in 2023Impact to HumanityMaturity in 2023Market Adoption in 2023Horizon to Commercial Adoption(#years)AverageRangeAverageRangeAverageRangeAv
41、erageRangeAverageRangeB/CB+,C/DBA,B/CC+B,D+C+B+,D5.542.4-11.1Success in 2023Impact to HumanityMaturity in 2023Market Adoption 23Success in 202310.090.920.88Impact to Humanity0.0910.130.28Maturity in 20230.920.1310.94Market Adoption in 20230.880.280.941Success in 2025Impact to HumanityMaturity in 202
42、5Market Adoption in 2025Horizon to Commercial Adoption(#years)AverageRangeAverageRangeAverageRangeAverageRangeAverageRange A-,C+A,B-B,CB-A-,C-81 2.49-9.69Success in 2025Impact to HumanityMaturity in 2025Market Adoption25Success in 20251 9 89 Impact to Humanity 1 1 Maturity in 2025 9 0.221 9 Market A
43、doption in 2025 89 1 9 1This year(2025)Last year(2024)Two years ago(2023)Correlation,Average,Range across Technologies,23-25113 811 1 1 Standard Deviation3 811 1 1 Standard Deviation,Largest(Least Confidence,2 top)123 811 1 1 Standard Deviation,Largest(Most Confidence,2 top)133Opportunity for academ
44、ia(out-of-box thinking,innovations)Opportunity for governments(funding,regulations)Opportunity for industry(inventions,productization,new markets)Opportunity for professional organizations(standards,future directions,roadmaps)Horizons to Commercial Adoption143rapid urbanizationtechnologicalecologica
45、lecologicalmobility emerging global wealthaging population healthglobalizationclimate change and resource scarcitydemographics and social changeshifting economic poweremerging marketsbiotech/synthetic biologychanging disease burdens,risk of pandemicsincreasingly multipolar worldincreasing environmen
46、tal pollutiondigital transformationsustainabilityartificial general intelligencecost of climate changeThis Figure was originally published in C.Bash,K.Bresniker,P.Faraboschi,T.Jarnigan,D.Milojicic and P.Wood,Ethics in Sustainability,in IEEE Design&Test,vol.41,no.1,pp.25-32,Feb.2024economicalecologic
47、alsocio-politicalTechnology vs General-Megatrends15163rapid urbanizationtechnologicalecologicalecologicalmobility emerging global wealthaging population healthglobalizationclimate change and resource scarcitydemographics and social changeshifting economic poweremerging marketsbiotech/synthetic biolo
48、gychanging disease burdens,risk of pandemicsincreasingly multipolar worldincreasing environmental pollutiondigital transformationsustainabilityartificial general intelligencecost of climate changeThis Figure was originally published in C.Bash,K.Bresniker,P.Faraboschi,T.Jarnigan,D.Milojicic and P.Woo
49、d,Ethics in Sustainability,in IEEE Design&Test,vol.41,no.1,pp.25-32,Feb.2024economicalecologicalsocio-politicalCOVID effectsGenAIHurricanes/windfallWarDisruption and Megatrends,Impact on 2025This Figure was originally published in C.Bash,K.Bresniker,P.Faraboschi,T.Jarnigan,D.Milojicic and P.Wood,Eth
50、ics in Sustainability,in IEEE Design&Test,vol.41,no.1,pp.25-32,Feb.20243rapid urbanizationtechnologicalecologicalecologicalmobility emerging global wealthaging population healthglobalizationclimate change and resource scarcitydemographics and social changeshifting economic poweremerging marketsbiote
51、ch/synthetic biologychanging disease burdens,risk of pandemicsincreasingly multipolar worldincreasing environmental pollutiondigital transformationsustainabilityartificial general intelligencecost of climate changeeconomicalecologicalsocio-politicalglobalsouthScientificdiscoverySpacecommerceLifeexpe
52、ctancyDisruption and Megatrends,Impact Beyond 2025171832025 Technology Predictions and MegatrendsDigital TransformationSustainabilityArtificial General IntelligencePrediction:Tech.Development in 2025(x axis)vs Impact to Humanity(y axis)(size of bubble proportional to relative market adoption)3*https
53、:/bit.ly/get-megatrendsSustainability(6)Digital Transformation(15)Artificial General Intelligence(AGI)(12)Autonomous drivingAutonomous drivingNuclearNuclear-powered data centers powered data centers Space computingSpace computingAIAI-enhanced enhanced r roboticsoboticsAI agentsAI agentsWearables/bio
54、markers Wearables/biomarkers in medicine/wellnessin medicine/wellnessAIAI-assisted drug discoveryassisted drug discoveryFunctional safety/autonomous vehiclesFunctional safety/autonomous vehiclesSmartAgSmartAgDrone adoptionDrone adoptionData feudalismData feudalismSustainable computingSustainable com
55、putingLLM deploymentLLM deploymentAugmented artificial intelligence Augmented artificial intelligence New battery chemistriesNew battery chemistriesBrain Computer InterfacesBrain Computer InterfacesAIAI-optimized green HPCoptimized green HPCAIAI-based medical based medical d diagnosisiagnosisTools a
56、nd policies for AI regulation Tools and policies for AI regulation Mis/DisinformationMis/DisinformationNextNext-gen cyberwarfare gen cyberwarfare IT/Energy convergenceIT/Energy convergence2025 Technology Predictions and Megatrends*193From megatrends perspective,we have:15 digital transformation-rela
57、ted predictions(6 exclusive)and most overlap with other megatrends(9)12 AGI technology predictions(5 exclusive)6 sustainability-related(1 exclusive)There is a lot of overlap across megatrends:Digital transformation has most overlap in terms of the number of technologies Sustainability has most overl
58、ap in terms of percentage,making it most applied megatrend(in percentages)AGI is increasingly more applied to almost any other technologySocio-political,economic,and ecological aspects are deeply entangled,e.g.:The ethical aspects of using drones,Brain Computer Interfaces,and LLM deployment Copyrigh
59、t and right-to-use issues are being heavily addressed:e.g.,how to differentiate derivative from new intellectual properties Explainability and trustworthiness of AI solutions are still too nascent to be of sufficient use for regulatory needsMegatrends-related Insights*20*See 2024 FDCs Megatrends Rep
60、ort https:/bit.ly/get-megatrends213*See 2024 FDCs Megatrends Report https:/bit.ly/get-megatrendsInsights for 2025 Technology with most advancement,largest market adoption and market maturity is LLM deployment(A-)Technology with highest potential for impact on humanity isAI-assisted drug discovery(A)
61、Technologies with large impact to humanity but fewer chances for technological success(tools and policies for AI regulation and Brain Computer Interfaces)may require government assistance Long-term opportunity is in space computingInsights across years AI strengthened its dominance compared to previ
62、ous years We see continued controversy around mis-information Compared to last year,we see some decline in sustainability-related techLonger-term broader opportunities Small Modular Reactors(SMRs)offer a breakthrough solution for a sustainable,reliable data center energy supply Wearables/biomarkers
63、will continue innovations in sensor accuracy,energy efficiency,real-time analytics,and medical applications The development of tools and policies for AI regulation is making good progress Next-gen cyberwarfare is emerging as a key area due to rising concerns around data integrity and AI vulnerabilit
64、ies Biotechnology rapidly advancing under the radar in the shadow of AI,with opportunity of working together with AI Convergence of technologies through systems approaches(e.g.IT/energy sectors)Insights and Opportunities3IndustryGovernmentAcademiaProfessional Organization Explore new facets of LLM L
65、LM deploymentdeployment,e.g.Small LM Validate drone use cases drone use cases in select settings,business models Start delivering AI agents AI agents in areas where they can complement human labor Develop products and services to detect and prevent mis/disinformationmis/disinformation Enforce end-to
66、-end sustainable sustainable computingcomputing for all products services and most industries Factory production strategies with higher quality/economic benefits of SMRsSMRs Professional development curricula for working engineers working engineers ready to move into technical management Regulate,sp
67、onsor,and encourage smart agriculture smart agriculture Invest in tools and policies for AI regulation in broad domains Regulate autonomous driving autonomous driving in road/air/water vessels Understand,define,and prevent data feudalism and data poisoning Invest in IT/energy convergence IT/energy c
68、onvergence in main industry sectors Foster industry to drive AIAI-assisted drug discoveryassisted drug discovery Address security&waste challenges in distributed SMRSMR infrastructures Foster addressing technology challenges in convergence of ICT,convergence of ICT,energy,AI,space,roboticsenergy,AI,
69、space,robotics Research and prototype AIAI-optimized green HPCoptimized green HPC Explore new battery chemistries new battery chemistries and their use in diverse use cases and settings Conduct research for safety of SMRSMR-powered data centers powered data centers Explore the near-/medium-term oppo
70、rtunities in space computingspace computing Prototype Brain Computer Interfaces Brain Computer Interfaces for a select set of ethically approved use cases Create/strengthen curricula and departments in systems engineeringsystems engineering Develop AIAI-based medical diagnosis based medical diagnosi
71、s for existing/new diseases Increase cross-technology curricula in sustainable computingsustainable computing Define standards and best practices for wearables/biomarkers in wearables/biomarkers in medicine/wellness medicine/wellness Foster safe and ethically aligned Augmented artificial intelligenc
72、e Augmented artificial intelligence Arrange for competition and events in AIAI-enhanced roboticsenhanced robotics Help drive industry/government coalitions to evaluate and nextnext-gen cyberwarfare gen cyberwarfare Introduce standards and best practices in functional safety/functional safety/autonom
73、ous vehiclesautonomous vehicles Encourage AIAI-based medical based medical diagnosisdiagnosis for existing/new diseases PlugPlug-andand-play standards play standards that induce competitive economies of scale and reliability possible with large statisticsTargeted Recommendations22233End userDevelope
74、rCxOInvestorImplications of AI evolution how to interact with AI agents Upskill for the AI ageBe mindful of sustainability in daily useBe prepared for new UIs including brain-computer interfaces and wearablesHeavy AI adoption in DevOpsIncreased automation will require new programming models,and new
75、DevOpsUnderstanding energy consumption propagates into code development,not just operationsAddress mis/disinformation,new cyberwarfare,and data feudalism across the stackModernize enterprise using AI agents,new types of LLMsAI-assisted-*(drug discovery,medical diagnosis,robotics,HPC,etc.)Re-evaluate
76、 realistic sustainability goalsAutomate with new approaches,such as roboticsUnlimited opportunities with AIPromise of new energy materials(batteries)and sources(Small Modular Reactors)Substantial opportunities in smart agricultureNew transportation models with drones and in spaceAI and biotechnology
77、 working together Targeted Recommendations(continued)3 Substantial growth Growth Some growth Stay the same Some decline Decline Substantial decline Skills change,some decline,some growthDigital TransformationSustainabilityAIRegulatory ComplianceAutonomous driving Nuclear-powered data centers AI-enha
78、nced robotics Mis/Disinformation Wearables/biomarkers in medicine/wellness IT/energy convergence AI agents Data feudalism Drone adoption SmartAg LLM deployment Tools and policies for AI regulation Brain Computer Interfaces Sustainable computing Augmented artificial intelligence Functional safety/aut
79、onomous vehicles Space computing New battery chemistries AI-assisted drug discovery Next-gen cyberwarfare AI-based medical diagnosis AI-optimized green HPC Skills Impact TrendingSkills Needed24Direction of Individual Skills Evolution3Archive of annual IEEE CS Tech Predictions&scorecardsIEEE Future D
80、irections Megatrends Report:https:/bit.ly/get-megatrends(over 3250 downloads)Special issues of IEEE Computer(2024,2023,2022,2021,2019),6th year special issue to appear in Oct 2025IEEE Computer“Predictions”Columns(.,Sustainability,Digital Transformation,Megatrends,AGI,Heterogeneity/Serverless,Perform
81、ance,Energy4DataCenters,DigitalTwins,Convergence of IT&Energy Sector),entering 5th year IEEE SCVS Industry Spotlights(Megatrends,AI,Sustainability,Digital Twins,Convergence of IT and Energy Sectors),co-sponsored by FDC,IEEE CS,IECSpecial Features The IEEE Institute article on Megatrends https:/spect
82、rum.ieee.org/preieee-2024-technology-megatrends-report IEEE SSE,“The Art of Prediction”IEEE Design and Test,“Ethics in Sustainability”IT Professional“What Gets You Hired Now Will Not Get You Hired Then”Many webinars,podcasts,keynotes,invited talks,panels,etc.E.g.SXSW panel:“AI:Prosperity or Doom for
83、 Human Workforce?”Course“High Performance Computing:Use of AI and Emerging Technologies in Science”Decadal reports:Computer Society Report 2022(issued in 2015);Future of Workforce(issued in 2023)Portfolio of Predictions253OutlookTechnologies will continue to be critical in addressing and preventing
84、pandemics and consequences of natural disasters,while promoting innovative,sustainable,and socially responsible enhancements to quality of life PredictionsWe made twenty-two predictions in six broad areas(applied computing,energy,applied AI,non-functional characteristics,user-interfaces,and vertical
85、s)We graded our predictions in terms of likelihood technology success,impact to humanity,maturity in 2025,market adoption in 2025,and horizon to commercial adoptionPredicted technologies show a degree of correlation,but with a more diverse roster we got less correlation this yearHonorable mentionste
86、chnologies that barely did not make a cutCybersecurity of data centers;machine unlearning;recycling of clean energy solutions;quantum-HPC fusionFuture workWe continue to eliminate bias,as demonstrated by correlation and standard deviationAt the end of the year,we will prepare a scorecard on how tech
87、nologies succeeded against our predictionsTo improve the depth and accuracy of future predictions,we aim to increase collaboration with industry experts,academic institutions,and regulatory bodiesSummary26AdditionalMaterials2025 Technology Predictions TeamStatements in this slideset express opinions
88、 of authors themselves only and not of their employers28Ali Abidi,Univ.of MaineMohamed Amin,NokiaCherif Amirat,Stevens Inst.of TechJyotika Athavale,SynopsysKyle Chard,Univ.of Chicago/Argonne Natl LabMary Baker,HP Inc.Greg Byrd,NC State,RaleighTom Coughlin Coughlin AssociatesIzzat El Hajj,American Un
89、iv.of BeirutPaolo Faraboschi Hewlett Packard Ent.Nicola FerrierArgonne Natl LabRafael Ferreira da Silva,Oak Ridge Natl LabEitan Frachtenberg Hewlett Packard Ent.Jean-Luc Gaudiot,UC IrvineAda Gavrilovska,GaTechAlfredo GoldmanUniversity of So PaoloMike Ignatowski,AMDLizy K.John,Univ.of Texas at Austin
90、Vincent KaabungaAKEM ConsultingMrinal Karvir,Intel Hironori Kasahara Waseda UniversityWitold Kinsner Univ.of ManitobaPuneet Mishra,U R Rao Satellite CenterKeqiu Li,Tianjin Univ.Cecilia Metra Bologna UniversityDejan Milojicic(chair)Hewlett Packard Ent.Chris Miyachi,Nuance CommunicationsKhaled Mokhtar
91、IEEE CPC ChairDanny Lange Unity TechnologiesPhil Laplante Penn StateAvi Mendelson TechnionChengappa MunjandiraHewlett Packard Ent.Bob ParroRiver North SolutionsSudeep Pasricha,Colorado State Univ.Nita Patel,OtisAlexandra Posoldova Founder,Sigma Services Marina Ruggieri,Univ.of Rome,Tor VergataTomy S
92、ebastian Halla MechatronicsFarzin Shadpour,VC PartnerSohaib Qamar Sheikh,Proptech and CRETechSaurabh Sinha,Univ.of CanterburyVesna SossiProfessor,UBCLuka Strezoski,Univ.of Novi SadVladimir Terzija,Newcastle UniversityGeorge Thiruvathukal,Loyola UniversityMichelle TubbIEEE Computer SocGordana Velikic
93、,ORTO MDJohn VerboncoeurMichigan State Univ.Irene Pazos Viana IT ConsultantJeff Voas,NISTRod Waterhouse,Octane WirelessStefano Zanero,Politecnico di Milano Gerd Zellweger,Feldera Inc.Ying Zhang,META32025 Technology Predictions Team-Where They Live29111123226 Continents17 Countries 54 Contributors 15
94、 Women 39 Men11112233211112025 Technology Predictions Team-What They Do30Academia23Industry25ProfessionalOrganization1Government5313IdentificationThis year we expanded our team from 12(2021),16(2022),35(2023),and 46 members(2024)to 54(2025)We further improved our diversity in terms of gender(16 fema
95、le)and technology areas(HPC,architecture)Authors made up to two predictions,resulting in 88 predictionsWe then down-selected to 22,by each author giving one of 16 votes to 16 technologiesWe then did another careful merging of some predictionsGrading:In the second round we graded each technology We a
96、ssigned a grade of:A+to F-for:Technology Success in 2025;Impact to Humanity;and Predicted Market Adoption in 2025 Very early,prototype,incubating,emerging,mature,and commercialization for Maturity 1 year,3y,5y,10y,15y for Horizon to Commercial AdoptionWe express impact to humanity as a function of t
97、echnology advancement;we quantify maturity,market adoption,and time-to-adoptionWe calculated our confidence as standard deviation in voting;and bias as a correlation between individual gradesFinally,we tweaked and optimizedQualifyingFor each of the down-selected 22 technologies,we wrote a slide on p
98、roblem/demand,opportunity,impact,&sustainable solution/business opportunityProcess:Continued Improvements1323LLM Deployment(A-)We will see deployments of Small Language Models and exotic,special-purpose models,transforming industries through more domain-specific and efficient AI applications.Problem
99、s/DemandProblems/DemandStill few and only localized initiatives on sustainable ITThe increasing cost of IT on global energy consumptionLimited understanding of how to use computing resources efficientlyLack of tools and techniques for carbon-responsive computingLimited understanding of how to measur
100、e sustainabilityElectronic wasteDisposable devices/planned obsolescenceGrowing reliance on LLMs for advanced tasks in specific industry needsPrivacy-preserving LLM model designsOpportunitiesOpportunitiesProvide effective Small Language ModelsArgument detection and analysis with LLMsSolve computer ta
101、sks with language models from text descriptionsUse of LLMs for recommendationOpen-source Small Language Models bring opportunities to fine tune models and use them for a specific purposes Companies concerned about data privacy and proprietary information will be able to deploy their own local models
102、ImpactImpactLanguage models become more accessible,which brings opportunities for innovative ideas and specific use casesCompanies will be able to protect their dataImproved hallucination detection using model cross validationIncreased opportunity for AI agent developmentUse of LLMs as a source of t
103、ruth Loss of skills,mainly for the younger generationLoss of creative content if new models feed on results of previous onesSustainable solutions/business opportunitySustainable solutions/business opportunityNew innovative applications for lightweight and highly specialized LLMsCustom language model
104、s will no longer be restricted to large companiesCost to train and fine tune models will decreaseDevelopment of energy-efficient architecturesIndustry-specific LLMs for fields like healthcare,finance,and law can improve accuracy and reduce computational overheadEnablers:Enablers:open-source communit
105、ies such as Hugging Face;cloud services providing LLM solutions with integrated prompt engineering;hardware evolution to specifically accommodate for optimal run of LLMs;model compression,cloud/AI infrastructure,emerging MLOpsInhibitors:Inhibitors:training models will still require carefully curated
106、 data sets;significant hardware requirements remain for running the latest LLMs;computational and energy requirements to develop custom LLMs;privacy/copyright issues;high costs,data scarcity,ethical/security risks3Drone-as-a-Service(DaaS)will redefine logistics,agriculture,and disaster response,offe
107、ring reliable,low-cost solutions with quick turnarounds across diverse industries.Problems/DemandProblems/DemandEnhanced demand for drone-enabled AgriTech solutions(crop managements,livestock monitoring,spraying of fertilizers and pesticides,capturing data of crop health,nutrient level and irrigatio
108、n needs,supporting precision forming)Enhanced demand for drone-assisted fire fighting(providing real time situational awareness,mapping the fire perimeter,&identifying hotspots)Enhanced demand for drone-born(microwave/optical/hyperspectral)remote sensing/ground penetrating radar data for precise car
109、tographic,urban planning,resource mapping,IED detection,environmental study applicationsEnhanced demand for drone assisted formation flying for entertainment,cinematic and strategic applicationsEnhanced demand for drone assisted delivery in urban and rural areasRegulatory hurdles,privacy and ethical
110、 concerns,limited battery life and flight rangeOpportunitiesOpportunitiesAI-powered drone choreography,geospatial analysisAdvanced drone motion compensation algorithmsSize,Weight,and Power optimization for drone-born payloadsAdvanced drone swarm technologiesAdvanced electric vertical takeoff and lan
111、ding technologiesFully autonomous drones&refueling on fly technologies Revolutionizing last-mile delivery,enhanced disaster response and recovery,military and intelligence gathering will push the technologyImpactImpactExtensive drone adoption in search and rescue,reshaping wars,delivering time sensi
112、tive medical suppliesFully autonomous drones will circumvent the problems raised by hamming and unavailability of GPS signals and provide 24x7 services in critical situationsAdvanced electric vertical takeoff and landing technologies will change the landscape of urban mobilitySustainable solutions/b
113、usiness opportunitySustainable solutions/business opportunityExtensive drone adoption will create a Drone-as-a-service(Daas)industry growing exponentially Enablers:Enablers:continuous size,weight and power optimization;AI/ML adoption in all possible domains;advanced Swarma,eVTOL technologies will bo
114、ost adoption of drones in several domains;fully autonomous drones will reshape wars;higher volume production and larger markets;improved battery technology;public acceptanceInhibitorsInhibitors:limited payload carrying capability;limited continuous flying time;limited autonomy;regulatory hurdles;pri
115、vacy and ethical concerns2Drone Adoption(A/B)333AI agents combining LLMs,ML models,and rule-based systems will provide autonomous,highly specialized solutions for finance,manufacturing,and retail operations.Problems/DemandRepetitive task requiring low level of expert knowledge and/or creativity,can
116、be performed by AI agent Challenges to scale up small business due to inability to hire skilled workers to perform specific tasksUsers should be able to interact with AI agents in their preferred human language,including flexible or informal expressionEnabling AI agents to automatically generate and
117、 deliver relevant content based on a given context or subjectOpportunitiesAI agents will enable automation of more complex tasks with minimal human input,requiring only task descriptionsWork efficiency will increase as some tasks will be performed faster by AI agents than humans with less errorEnabl
118、ing small businesses to scale up without the need to hire more skilled workersAI agents will create new job opportunities centered around their development and maintenance.Guidance of AI agent development of their own logic in suitable directionsHave AI agents as allies and even drivers in the devel
119、opment of sustainable activitiesEducation can become more accessible and personalized through AI agent tutorsImpactJobs will evolve as AI agents take on certain specialized tasks,creating opportunities for new rolesThe need for upskilling will grow as some jobs fade,while others evolve into active c
120、ollaborations with AI agents to achieve desired outcomesIncreased training for workers on effectively collaborating with AI agentsSmall businesses will scale faster by deploying AI agents,reducing the need for extensive labor investmentsSustainable solutions/business opportunitySolutions with a frie
121、ndly user interface to interact with AI agentsAI agents will enable sustainable solutions by performing specific roles or assisting humans,promoting efficient and responsible practicesAI agents to drive trends to sustainabilityEnablers:Enablers:advancement of small language models will lower hardwar
122、e requirements and enable easier fine-tuning;open-source AI libraries and models will allow for model and data ownership;cloud solutions with friendly user interface and low code approach will increase the accessibility of AI agent solutionsInhibitors:Inhibitors:data quality and preparation will rem
123、ain important for quality solutions;limited computational resources and energy costs can hinder progress;challenge from LLM hallucinations generating inaccurate information;potential loss of employment;risks related to AI agents developing their own logic3AI Agents(A/B)343Embodied intelligence will
124、enable robots to perceive,learn,and collaborate in dynamic environments,achieving unprecedented autonomy and human-like adaptability.Problems/DemandCritical labor shortages in high-risk,repetitive,and skilled manufacturing rolesGrowing aging population requiring advanced healthcare and caregiving as
125、sistanceIncreasing complexity in supply chain and manufacturing requiring adaptive automationGrowing consumer expectations for intelligent,and personalized interactive devicesSafety and reliability concerns in human-robot interactions OpportunitiesDevelopment of advanced collaborative robots(cobots)
126、with enhanced perception and safety features for diverse industrial applicationsInnovations in healthcare robotics for surgery,rehabilitation,and personal care assistanceEnhanced productivity and safety in hazardous environmentsIntegration in smart cities for improved infrastructure managementPotent
127、ial for consumer robotics in education,household,and entertainmentImpactSignificant reduction in workplace injuries and errorsImproved quality of life through assistive care and rehabilitationCost savings and operational efficiency across industriesAcceleration of human-AI synergy in the workplace a
128、nd homeEnhanced disaster response and risk mitigation Sustainable solutions/business opportunityEnergy-efficient robotic systems with optimized AI processingSubscription and as-a-service models for commercial and consumer robots,enabling accessibility for SMEsCollaboration with renewable energy for
129、sustainable operationCustomizable,modular robotic systems for diverse applicationsRobotics-enabled circular economy(e.g.,waste management,recycling)Enablers:Enablers:advances in large language models and multimodal AI,and computer vision;advanced edge computing and 5G/6G networks;next-generation bat
130、tery technology,wireless charging,and energy storage;integrated sensors with advanced fusion capabilities and real-time analytics to enable enhanced perception and seamless interaction;robust data integration from IoT for real-time adaptability,with standardized protocols for robot-to-robot communic
131、ation to ensure seamless interaction and collaborationInhibitors:Inhibitors:high capital investment for robotics and AI systems;complex regulatory and compliance for autonomous systems;limitations in current AI models adaptability and autonomy,and technical challenges in generalizing robot cross-app
132、lication learning;workforce skill gap in robotics operation and maintenance;public resistance to widespread robotics adoption due to ethical concerns about privacy,safety,and job displacement4AI-Enhanced Robotics(B+):Embodied intelligence for seamless human-robot interaction363Wearables will track b
133、iomarkers for early disease detection and proactive wellness,expanding beyond fitness tracking to medical-grade monitoring for chronic conditions.Problems/DemandDetection of early signs of health issuesTracking of disease progressionReducing cost for health and wellness interventions and inpatient v
134、isitsNeed for remote and continuous monitoring Comprehensive analysis of individuals health data and history is needed to optimize diagnosis and treatmentDetermination of disease subtypes in pathologically and clinically heterogeneous diseasesManagement of chronic conditions(e.g.,diabetes,heart cond
135、itions)OpportunitiesEnabling effective preventive medicine and optimized drug deliverySupport chronic disease managementTrack health status by targeted monitoring of specific disease-related risk factorsGovernment and insurance company R&D investments will help advance sensors,research,and remote me
136、dical infrastructure.New classes of machine learning algorithms coupled with new technologies/accurate patient history allow physicians to improve diagnosis,enhance personalized treatment and efficiencyML algorithm can be used to address patient management at a health care delivery-systems level,thu
137、s optimizing patient flow resulting in increased efficiency and lower costsRicher and better-informed data sets will enable more accurate design of digital twinsImpactBroader access to customized solutions,medical assistance,health care specialists and preventative interventionsMore efficient health
138、 care monitoring and improved outcomes for a larger fraction of the populationIncreased feasibility and benefits of personalized medicine/more efficient use of medical resources/more accurate and efficient triagingPositive impact on individuals quality of life,overall social productivity and health
139、care costsCollection of rich data sets to catalyze further researchSustainable solutions/business opportunityImproved reliability and accuracy of sensor data&information analytics.Integration of wireless charging,energy harvesting,make-on-demand sensors,real-time data analytics.Development and deliv
140、ery of risk mitigating interventionsExpansion of the application&use of wearables/sensors/medical devicesDevelopment and distribution of effective low-cost biomarkersEnablersEnablers:identification of low-cost,specific biomarkers,data bandwidth,storage,and access;new ML algorithms and new accelerato
141、rs to perform sophisticated computations;electronics miniaturization,battery efficiency,advanced sensors,advances in biotechnology and commercial IoT market,data harmonization,new IC technologies like Plastic ICsInhibitors:Inhibitors:cost,health insurance models/infrastructure,regulatory requirement
142、s(e.g.,HIPAA,FDA,pre-market approval,biocompatibility testing),data privacy&categorization,parts obsolescence/life-cycle,data processing,limited interaction between technology developers and end users,lack of a systems approach in healthcare.5Wearables/Biomarkers in Medicine/Wellness(B+)373Energys d
143、igital transformation will mirror ITs evolution,enabling sustainable grids,renewable integration,and exponential AI growth for efficient power delivery.Problems/DemandSlower evolution of energy sector not keeping up with demands of AI expansive adoptionSustainability demands imposed by climate chang
144、eDistributed energy resources introducing uneven supply lacking to provide guaranteed demandsComplexity in managing and securing diverse energy sourcesSMR safety and securityOpportunitiesDigital transformation of energy sector,modernized for changing circumstances on both demand and supplyDeeply int
145、egrating IT practices into energy sector from edge to CloudGuaranteed sustainable and economically viable energy supply for increasingly demanding AI-driven ITPassive feature innovation for enhancing SMR safetyFactory production strategies to achieve higher quality and economic benefits of mass prod
146、uction versus distributed custom-built reactors.Develop plug and play standards that induce competitive economies of scale and reliability possible with large statistics.Address security and waste challenges inherent in a more distributed nuclear power infrastructure through standardized modular sol
147、utions.ImpactSufficient energy supply for industry growth,especially AI trainingMore sustainable generation and consumption of energyModernized energy management and optimizationApplying IT security,reliability,QoS,(auto-)scale,and forecast best practices to the domain of energyLifecycle,sustainabil
148、ity,refresh and other economic measures could be cross-applied and cross-leveragedAdopting increased(direct and indirect)transfer of energy across geo-domains complemented with transferring IT workloadSustainable solutions/business opportunityNuclear energy generationEnergy generation close to consu
149、mptionAI-driven energy management with multi-objective reinforcement learningEnablers:Enablers:Distributed energy resources;revived use of nuclear energy;modernized energy supply and demand management;improved security of DERs and cyber-physical energy supply-demand chain.Inhibitors:Inhibitors:Regul
150、atory compliance;fragmented world in power and energy-lack of energy Internet;enhanced safety and security attack surface;economies of scale 6IT/Energy Convergence(B+)383Augmented AI will redefine human-machine collaboration,blending machine precision with human oversight for inclusive,ethical solut
151、ions in healthcare,finance,and education.Problems/DemandProblems/DemandCurrent AI deployments often lack contextual adaptability,making them insufficient for scenarios requiring nuanced human understandingAI data training and processing require substantial energy resources,raising sustainability and
152、 scalability issuesAligning with evolving regulations and ensuring ethical standards remains a challenge;broadly classified as“colonization by algorithms”The focus on technology-driven solutions may overlook broader societal impacts,particularly on underrepresented communitiesAI integrations can be
153、siloed,leading to inefficiencies and difficulties in cross-platform communicationThe lack of comprehensive frameworks incorporating non-technology facets limits human-centered and ethically aligned innovationOpportunitiesOpportunitiesCombining human understanding with AIs computational strengths cre
154、ates an adaptable,ethically aligned intelligence systemAI in A2I can enable dynamic resource allocation,optimizing network usage and responsiveness in real-timeNew frameworks can ensure AI tools align with societal values,fostering inclusivity,fairness,and accessibilityA2I offers the potential for p
155、roactive alignment with global regulatory standards,reducing compliance complexitiesA2I fosters innovation while aligning business models with societal values,enabling sustainable,community-centered growthThrough A2I,communications ecosystems can adjust to evolving technology and societal demands,ma
156、intaining adaptability across shiftsA2I modalities can also encompass machine unlearning,offering a complementary,reactive approach alongside traditional ML techniquesImpactImpactA2I supports efficient,adaptive resource allocation and real-time optimization,crucial for meeting future wireless demand
157、sIntegrating A2I ensures AI applications align with ethical guidelines,building public trust and supporting regulatory complianceA2I-driven solutions promote accessibility,offering adaptable technologies that cater to diverse user needsA2I helps manage energy use in AI operations,promoting eco-frien
158、dly protocols within data-intensive systemsBy blending AI with human oversight,A2I minimizes risks in critical areas,encouraging safe,ethical automationSustainable solutions/business opportunitySustainable solutions/business opportunityA2I supports cost-effective scaling of wireless communication by
159、 optimizing resource allocation,reducing infrastructure strainBy integrating AI,A2I can predict and prevent network failures,lowering operational costs and increasing system longevityA2I can facilitate energy-efficient AI models,reducing the carbon footprint of data centers and communication network
160、sA2Is integration of human expertise and AI enables adaptive business strategies that respond to evolving market demandsA2Is cross-sector adaptability promotes partnerships across telecos,healthcare,and energy,leading to innovative,sustainable solutionsEnablersEnablers:Advances in interpretive AI,et
161、hically aligned design and standards thereof,and human-AI collaboration drive A2Is developmentInhibitorsInhibitors:Regulatory gaps,societal misalignment,and limited access restrict A2Is potential7Augmented Artificial Intelligence,A2I(B+)393Autonomous Driving(B+)Autonomous vehicles will reduce emissi
162、ons,enhance safety,and transform urban logistics,but widespread adoption hinges on regulatory approvals and public trust.Problems/DemandProblems/DemandAutonomous,Connected,Electric,Shared(ACES)vehicles are disrupting the transportation marketSAE International classifies autonomous driving levels 0 t
163、o 5.We are between 3 and 4;by 2030,vehicles will be L2 or aboveMost accidents are a result of human driver errorTraffic congestion and parking are major problemsSelf-driving,consumer vehicles in everyday traffic are still in test phase and must overcome many challengesOpportunitiesOpportunitiesContr
164、olled environments(behind closed gates,such as airports,factories,warehouses,etc.)are likely the first adopters of L4-L5 autonomous vehiclesCommercial trucks on highways are the next large opportunity,followed by robo-taxis and shuttlesSelf-driving can reduce driver related accidents,increase vehicl
165、e density,reduce operational costsImpactImpactReduce traffic deaths,improved vehicular safetyIncrease efficiency(road utilization,occupancy,parking)Reduce carbon emissions and travel timeReduce operational expenses of commercial operationsSustainable solutions/business opportunitySustainable solutio
166、ns/business opportunityThe business case behind self-driving in controlled environments is strong,scalable,and fast to commercialize.Software is likely to remain a key control point and large business opportunityImproved sensors and component reliability,including error free software,are necessaryIn
167、frastructure and regulatory changes are needed to fully implement everyday autonomous drivingEnablers:Enablers:AI,data science,edge computing,electric and connected vehicles,shared economyInhibitors:Inhibitors:social acceptance,regulations,large investments,at-scale commercialization8403SmartAg(B+)A
168、I-driven systems will improve crop yields,resource management,and sustainability,addressing food security through real-time soil and climate monitoring.Problems/DemandProblems/DemandFood security and waste for global population drives energy/water needsFood safety demands transparency and accountabi
169、lity at digital speedLoss of arable land to climate change and competing uses(bio-fuels,industrialization)drives need for efficiencyEquity in socio-economically challenged areas drives wide disparity in outcomes in healthEnvironment threats demands targeted use of fertilizers and x-cides(x=herbi/pes
170、ti/fungi)OpportunitiesOpportunitiesFood systems engineering of supply chain and metricsSensors+AI:from soil to plant to packaging to wholesale/retail to pantry applied from field to drones to appliances to handheld devicesGlobal digital food passport(standards)providing nutrition,interactions,and pr
171、ovisioning enabling smart menu construction to reduce waste and improve absorption/efficacy of nutrients while incentivizing sound productionFood manufacturing and menus for personalized nutrition and healthFood sterilization technologies from pulsed power to cold plasmas to gammasDecarbonization of
172、 Haber-Bosch process for fertilize production which enabled the present global population expansion creating an ammonia-hydrogen economySmart agrifood systems to reduce global food waste via AI-managed consumer pantriesImpactImpactMost fundamental ingredient for life and health for 7B+humansFood sup
173、ply chain consumes over 30%of produced fresh water and energy,including logisticsImprove equity in caloric and nutrient availabilityImprove individual outcomes with personalized menu recommendationsSystem-wide supply chain optimizationSustainable solutions/business opportunitySustainable solutions/b
174、usiness opportunityStandards and sensors for global digital food passport for tracking and transparency throughout supply chainIOT inventory managing systems throughout food supply chain right out to consumer with mobile RFID+apps to manage menus and inventory to reduce wasteLab on a chip+blockchain
175、 for secure verification of livestock healthEdge-and cloud-based IOT to manage application of agricultural amendments from water/fertilizers to x-cides connected to local environmental management systemsEnablers:Enablers:Food IOT:AI,sensors,robotics,cloud-based data,personalized nutrition all connec
176、ted via data,apps,and education;consumer-level AI supported personalized nutrition and menus;standardized digital food labels;implanted sensors Inhibitors:Inhibitors:status quo culture,limited access to(low-cost!)technologies,inertia in global policy,contrary economic interests,nationalism inhibitin
177、g global standards and data sharing;nutrient absorption impacted by food combinations 9413Functional Safety/Autonomous Vehicles(B)Advanced safety frameworks will ensure autonomous vehicles operate reliably in public and commercial sectors,gaining trust for broader adoption.Problems/DemandProblems/De
178、mandThe higher the level of autonomy of autonomous vehicles,the higher becomes the amount of electronics adopted to drive them,and the more critical becomes their roleElectronic components in safety critical systems may be impacted by faults and degradation during their operation in the field,possib
179、ly compromising their correct operation,thereby increasing functional safety risks with potential catastrophic consequences on the environment and usersHigh safety integrity levels are required for trustworthy systems such as autonomous vehicles with an increasingly higher level of autonomyThe push
180、for performance and adoption of AI workloads is driving a higher challenge for meeting functional safety requirements and the needed optimizations with other dependable technologiesMulti-die/chiplet based systems and increased integration,coupled with zonal architectures in autonomous systems,pose n
181、ew challenges for complying with functional safety requirementsOpportunitiesOpportunitiesFacilitate advancement in mobility capabilities.Assist people with disabilities and compromised driving abilitiesSustainability benefits via beneficial impact on the environment(e.g.,reduction of carbon emission
182、s,reduction of traffic congestion,etc.)ImpactImpactFunctionally safe autonomous vehicles with a high level of autonomy will pave the way to a more inclusive society for people with disabilities(visual,hearing,movement,etc.)Functionally safe autonomous vehicles with a high level of autonomy will elim
183、inate the need for certain professions,with an impact on employment and required professional skillsSustainable solutions/business opportunitySustainable solutions/business opportunityFunctionally safe hardware components:adoption of hardware fault tolerance and dedicated solutions to drive autonomo
184、us vehicles into a safe state in case of faults,aging,or hazardous conditions occurring during their operation in the fieldReliable AI hardware:adoption of hardware fault tolerance and dedicated solutions to guarantee the correct execution of AI algorithms for image recognition,etc.Enablers:Enablers
185、:New low-cost,fault-tolerant approaches for the hardware components driving autonomous vehicles.Addressing new challenges such as SDC and growing extrinsic defects in silicon components which compromise reliability performance.Innovation in silicon health monitoring and predictive maintenance capabi
186、lities for systems in the fieldInhibitors:Inhibitors:possible unpredictability of some hazardous conditions;need for standards in the field;need for international regulations clarifying liability in case of accidents10423AI-Assisted Drug Discovery(B)Advances in AI will speed up drug discovery,identi
187、fying novel compounds and treatments,though data quality and regulatory hurdles remain.Problems/DemandProblems/DemandThe drug discovery process is lengthy,in part due to the time in takes to screen a large search space of potential drug candidates for their toxicity,binding affinity,etc.There is a d
188、emand to make this process fasterNew types of diseases introduced from animals,human experiments and due to climate changeViruses and bacteria becoming resistant to existing drugsOpportunitiesOpportunitiesAI can help screen a larger number of potential drug candidates at a faster rate and prioritize
189、 the screened drugs for later stagesGenerative AI can even propose new drug candidates to include in the search spaceAI can also help discover new drug targets for different diseasesAdvances in explainable AI can help make the process of AI-assisted drug discovery more transparent,leading to more in
190、sightsThe orders of magnitude improvement in complexity and scale enabled by AI methods versus deterministic methodsDetermining granularity of science included as well as in drug interactions,and perhaps in the future precision drug discovery based on individual genomesImproved models might mean les
191、s animal testing as wellImpactImpactBetter insight in humankind help and imminent diseasesDiscovering new drugs fasterDiscovering more effective drugs due to the ability to screen a larger search spaceMore effective drugs through personalizationSustainable solutions/business opportunitySustainable s
192、olutions/business opportunityReduced cost of drug discovery with faster time to marketOpportunities for just-in-time drug production and deliveryEnablers:Enablers:Rapid advances in AI;Investment from government and pharmaceutical companiesInhibitors:Inhibitors:Availability of training data;regulatio
193、ns;lack of worldwide standards11433Sustainable Computing(B)Data centers will adopt energy-efficient hardware,intelligent resource management,and renewable energy,though scaling sustainability practices remains a challenge.Problems/DemandProblems/DemandLack of end-to-end sustainability managementDeve
194、lopers unaware of how sustainable their code and hardware isStill few and localized initiatives in sustainable ITThe increasing cost of IT related to the energy consumptionUsing computing resources in a more efficient wayTraditional computing was for general purpose solutions while AI may not need a
195、ll the precisionOpportunitiesOpportunitiesRely on clean energy for data centersConsider sustainability on new approaches:software development,software maintenance,etc.Use heterogeneous hardware,more energy efficient for specific computationsLook for sustainable supply chain for building hardwareMore
196、 efficient power(e.g.SMRs)and cooling solutions(e.g.liquid)Understand where data uncertainties do not justify high precisionImpactImpactReduce the energy cost of the IT industryReduce the environmental impact of the computing equipmentImproved algorithm efficiency by operating at lower precision in
197、edge compute and AI in generalAssuming hardware can linearly reduce energy cost with bits,this offers factors of 2-8 in many casesHeterogeneous hardware might also include federated computing to distribute compute closer to the source,resulting in reduction of data transmitted and storedSustainable
198、solutions/business opportunitySustainable solutions/business opportunityProvide sustainable certifications Competitive advantage over those without sustainable solutionsFinancial savingsEnablersEnablers:many sustainable initiatives around the world;people are more engaged towards sustainability;pled
199、ges made by CxOs;government regulationsInhibitors:Inhibitors:possible increase in price;difficulties in changing the mindset;complexity in managing 12443Misinformation/Disinformation(B)AI tools will detect and mitigate misinformation,countering its rapid dissemination on social networks to protect p
200、ublic opinion and trust.Problems/DemandProblems/DemandAccidental or deliberately produced,factually incorrect information propagating throughout all mediaNegatively affects human behavior and computer algorithmsAdverse effects to government and corporate policy,public opinionPerversion of AI/ML algo
201、rithm resultsDisinformation created by AI co-mingles with correct informationPromotes/propagates societal distrust and confusionOpportunitiesOpportunitiesAgenda free adjudication entities,groups,toolsCreation of mis/disinformation free spacesTools for identification,filtering and removal can be deve
202、lopedUsing AI to verify informationTrustworthy electionsImpactImpactEliminate/attenuate harm to the public,industrial sectors,certain groupsDiscourage unsafe/bad behaviors,protect open opinionsManaging/regulating government reach to combat mis/disinformationSustainable solutions/business opportunity
203、Sustainable solutions/business opportunityEmbed trustworthy algorithms to monitor information sourcesData lineageEnablers:Enablers:distrust of existing institutions(e.g.the press,government,academia);AI tools for generation;social networks for easy production and rapid propagationInhibitors:Inhibito
204、rs:formal methods;epistemological approaches;review boards/wisdom of crowds;new tools for identification and removal;malicious actors,whether geopolitical or economic in motivation13453AI-Based Medical Diagnosis(B)AI will enhance diagnostic precision,particularly in radiology and pathology,improving
205、 patient outcomes while reducing clinician workloads.Problems/DemandProblems/DemandGrowing healthcare needsDemand for faster and more accurate diagnosisPersonalized medicineAccessibility to quality careHuman error reductionEarly detectionBurnout reductionOpportunitiesOpportunitiesEarlier and faster
206、diagnosis with enhanced accuracyPredictive analytics(predict patient outcomes,potential complications,proactive management of health conditions,better resource allocation)Integration with wearables(analyze data from wearables,monitor health in real-time,continuous insights,early warnings)Remote acce
207、ss to care and better use of complex patient dataAdvanced R&D(accelerate medical research by analyzing large datasets to identify new disease patterns,potential treatments,drug discovery)AI is often better at granular image analysis than humans,especially considering human fatigueAdvances in multisp
208、ectral imaging is an opportunity for AI based data fusion to see details difficult for humans to visualizePotential to distribute expertise via AI improves energy,bandwidth,and accessibilityImpactImpactImproved accuracy and efficiencyEnhanced patient careCost reductionEarly disease detectionAccessib
209、ility:AI tools can provide diagnostic support in remote or underserved areas,helping to bridge the gap in healthcare access and ensuring that more people receive timely and accurate diagnosesSustainable solutions/business opportunitySustainable solutions/business opportunityAI-powered diagnostic too
210、lsAI-enabled telehealth solutionsAI-driven healthcare IT solutionsAI-based medical devicesAI-driven healthcare data analyticsIntegration with digital health platforms,including telemedicine and wearable devices,offers new business opportunities.Real-time health monitoring and diagnostics,enhancing r
211、emote patient care and chronic disease managementEnablers:Enablers:advancements in AI/ML;increasing computational power;growth of medical data;government and industry support;collaboration between healthcare professionals and AI experts;global reach of deploying solutions in underserved regions;big
212、data availability:public and professional acceptanceInhibitors:Inhibitors:data privacy and security concerns;ethical considerations;regulatory hurdles;lack of standardization;resistance to change;bias and fairness;cost and investment;legal and liability issues;data quality and availability14463AI-Op
213、timized Green HPC(B-)AI will optimize HPC workflows,reducing energy consumption.Challenges include high costs and developing reliable energy measurement and allocation methods.Problems/DemandProblems/DemandGrowing computational demands coupled with diminishing returns in traditional silicon technolo
214、gys performance-per-watt pose urgent need for energy-efficient HPC solutionsLimited power budgets(typically 20MW per facility)constrain the ability to scale up computational capabilities while meeting scientific demands in post-exascale eraCurrent AI-HPC workflows lack comprehensive energy consumpti
215、on metrics and tools for near real-time optimization of computational resourcesCompeting demands between AI/ML and traditional HPC workloads strain limited energy resourcesLack of tools and incentives for developers to optimize applications for energy efficiencyOpportunitiesOpportunitiesAI-driven op
216、timization systems can dynamically balance computational performance with power consumption in real-timeEnd-to-end telemetry and operational analytics enable data-driven decisions for energy efficiency across HPC systemsIntegration of specialized accelerators and purpose-built architectures for spec
217、ific workloads improves energy efficiencyDevelopment of new energy-aware benchmarks and metrics can drive sustainable HPC practices and innovationImpactImpact30-40%reduction in data center energy consumption while maintaining computational performanceEnhanced scientific output per watt through intel
218、ligent workload management and resource allocationMore sustainable HPC operations through optimized power usage and reduced environmental footprintShift in HPC culture towards energy-conscious application development and deploymentImproved resource utilization through energy-aware scheduling and wor
219、kload distributionSustainable solutions/business opportunitySustainable solutions/business opportunityDevelopment of energy-aware HPC training programs and curricula to build workforce expertise in sustainable computing practicesCreation of new tools,frameworks and APIs for energy optimization,prove
220、nance,and automation of AI-HPC workflowsEstablishment of industry standards and benchmarks for measuring and certifying energy efficiency in AI-HPC workflow applicationsEnablers:Enablers:Advanced data analytics,AI optimization,workflow orchestration,energy-aware software,efficiency standardsInhibito
221、rs:Inhibitors:Legacy infrastructure,skill gaps,limited power budgets,technical complexity,resistance to change15473Next-Generation Cyberwarfare(B-)AI-driven cyber defenses will counter evolving threats.Challenges include international collaboration,response speed,and defending against increasingly A
222、I-enhanced attacks.Problems/DemandProblems/DemandCritical intelligence decisions nowadays are delegated to AI,which combs through millions and billions of inputs and weights to make predictionsThis“black box”modelling means that understanding of what goes into a particular prediction is intractable
223、for humans,making AI ripe for exploitation;by inserting judiciously misleading inputs to the model(which are themselves computed with AI),the predictive model can produce subtly different predictionsNext-gen cyberwarfare will aim to foil AI models with poisoned data.Conversely,next-generation counte
224、r-warfare will aim to use AI to detect data poisoning and maintain model integrityOpportunitiesOpportunitiesCounter-warfare:Develop technologies to track and attest to datas integrityDevelop advanced technologies&statistical techniques to detect data tamperingPromote effective regulation and monitor
225、ing of business and state-actor participation in data pipelines,including both production and consumption of dataelectronic warfare(projecting battlefield superiority via electromagnetic energy)ImpactImpactNext-gen cyberwarfare may shift the focus from hacking systems to misleading them into reachin
226、g wrong conclusions by subtly altering their inputsThe enormous input sizes make this hard to detect and may in turn require training specialized anti-AI AIs,and so forthSustainable solutions/business opportunitySustainable solutions/business opportunityAn arms race of data poisoning and poisoning d
227、etection;this prediction is negative,so it doesnt provide sustainable solutions or opportunities,only risks to plan forEnablers:Enablers:Advances in AI/ML to create poisoning;increasing size of input sets;Increasing adoption of AI in decision-support toolInhibitors:Inhibitors:Advances in AI/ML to de
228、tect poisoning;increased human vigilance and supervision of decision support tools;effective regulation16483New Battery Chemistries(B-)Solid-state and sodium-ion batteries will enhance energy density and safety.Challenges include scaling production and managing supply chain dependencies.Problems/Dem
229、andProblems/DemandCurrent Li-ion batteries have the following issues:Mining of Li consumes a lot of energy and potentially pollutes environmentLi-ion are not easily to recycle raising issues in terms of sustainabilityLi-ion batteries can cause fire pausing hazard in operation and transportation.Ther
230、e is also demand for batteries that have better charge/discharge rates and have much longer lifetime.OpportunitiesOpportunitiesThe opportunity is to come up with multiple chemistries that:Are made up of materials that are abundantly available and easier to source/mineAre easier to manufacture with m
231、ore sustainable lifecycleAre easier to recycleAre safer to use and have a lower risk of causing fireLast longerCharge more quickly Discharge as appropriate faster or slower based on a given applicationImpactImpactEvery day we have more and more consumer electronics which have batteries;better batter
232、ies mean better consumer electronicsEvery day we are moving closer to electrifying our transportation systems;better batteries will enable/accelerate thisEvery day we are moving towards using more and more renewable energies,which are available to us at times that we may not need them the most;we ne
233、ed better batteries to help us balance supply and demandSustainable solutions/business opportunitySustainable solutions/business opportunityExtended battery lifetime for edge devices leading to breakthrough missions not possible earlier as well as reducing cost of existing onesSimilarly,at the cloud
234、 side,ability to store energy in an efficient and scalable way can complement fluctuation of distributed energy resourcesEnablers:Enablers:venture capital;government funding;research and academic organizationsInhibitors:Inhibitors:those who have heavily invested in the Li-ion supply chain17493Data F
235、eudalism(B-)New tools will empower usersto regain control over data.Challenges include enforcing equitable access and aligning global regulatory frameworks.Problems/DemandProblems/DemandDatafication of human online activities by big techThe creation of digital fiefdoms by different platform and serv
236、ice providersControl of modern societies by big tech The inability of individuals to easily leave digital fiefdoms without major life disruptionsControl of users by non-transparent algorithms that trap users into big tech fiefdomsInternet may devolve into a feudalized spaceA few digital giants are a
237、massing so much money and power that they are increasingly independent of meaningful control by government and political entitiesOpportunitiesOpportunitiesThe opportunity to create regulations on user surveillance by big techThe opportunity of platform providers to better explain their algorithms an
238、d policies that entice users into using their servicesThe opportunity for the private sector to address this issue without government interventionImpactImpactGreater user trust that they are not being spied on by big techFewer demands for legislation to address this problem if the algorithms and pol
239、icies applied for user surveillance are transparentUsers can more easily move from fiefdom to fiefdomUsers will feel less like digital serfs to big techA public conversation about ethics concerns of data feudalism can beginSustainable solutions/business opportunitySustainable solutions/business oppo
240、rtunityThe solution here is for transparency on what information is being collected on individuals,how it is aggregated,and how it is used or soldEnablersEnablers:Both big tech and governments can work together to agree on what is the proper usage of the big datasets that are created by surveillance
241、 on users online activitiesInhibitorsInhibitors:Big tech is a major inhibitor;user apathy about surveillance being placed on them-the greater the apathy the fewer incentives that big-tech will modify this business model/practice18503Nuclear-Powered Data Centers(B/C)Small Modular Reactors(SMRs)will p
242、rovide steady,carbon-neutral energy for data centers.Regulatory approvals,scalability,and public acceptance remain significant hurdles.Problems/DemandProblems/DemandHigh energy consumption:Data centers consume vast amounts of energy,leading to increased demand for reliable power sourcesHeat manageme
243、nt:Excess heat generated by data centers requires efficient cooling solutions,impacting operational efficiency and costsRegulatory challenges:Nuclear energy faces stringent regulations and public scrutiny,complicating implementation in data centersPublic perception:Concerns about safety and environm
244、ental impact of nuclear energy can hinder acceptanceOpportunitiesOpportunitiesIncrease in the AI services demand&emerging cloud technologies,leading to the huge need of powerful,highly functional&operational data centersStable power supply:Nuclear power can provide a consistent and reliable energy s
245、ource,crucial for 24/7 data center operationsLower carbon footprint:Utilizing nuclear energy can drastically reduce the carbon footprint of data centers,aligning with sustainability goalsCost-effective energy:Over the long term,nuclear energy may offer competitive pricing compared to volatile fossil
246、 fuel marketsInnovative cooling solutions:Developing advanced cooling technologies that utilize waste heat from nuclear reactors can enhance efficiencyImpactImpactSustainability:Nuclear energy offers a carbon-free alternative to fossil fuels,aligning with global climate targetsReliability:Unlike sol
247、ar and wind,nuclear energy provides a continuous base load,ensuring data centers can function without interruptions or needing massive battery storageEfficiency:SMRs can be located in areas where large power grids may not be accessible,supporting localized,high-performance computing hubsEnergy densi
248、ty:Nuclear fuel has a high energy density,meaning a small amount of fuel can power a large facility for extended periodsSustainable solutions/business opportunitySustainable solutions/business opportunityWaste heat utilization,partnerships with tech firms,carbon credits trading,microgridEnablers:Ena
249、blers:Advancements in nuclear technology,government support,public-private partnerships,technological integration,skilled workforceInhibitors:Inhibitors:Regulatory hurdles,high initial investment,public opposition,safety concerns,competition from renewables19513Tools and Policies for AI Regulation(B
250、/C)Frameworks for AI ethics and governance will emerge.Challenges include harmonizing global standards and ensuring effective enforcement mechanisms.Problems/DemandProblems/DemandEthical concerns:Rising issues around privacy,bias,and transparencySafety and security:Need for safeguards against AI mis
251、use,such as deep fakesData quality and reliability:Bias in large datasets and lack of explainable modelsLegal compliance:Complex regulatory environments across jurisdictionsHigh computational costs:Limits AI capabilities to only a few large playersOpportunitiesOpportunitiesInnovation in policy frame
252、works:New models for AI governance and ethical standardsCross-border collaboration:Potential for international AI standards to streamline complianceEnhanced public trust:Improved transparency can lead to broader AI acceptanceAI-driven compliance tools:Automating regulatory tasks to reduce costsInclu
253、sive AI development:Creating AI that addresses the needs of underserved populationsImpactImpactBoosts public confidence:Safer AI systems may increase user trustMarket growth for AI governance tools:Growing need for tech solutions to regulatory challengesReduced legal risks:Clearer guidelines help mi
254、tigate potential liabilitiesEnvironmental sustainability:Incentives to reduce data center energy usageEnables responsible innovation:Frameworks ensure ethical considerations in developmentSustainable solutions/business opportunitySustainable solutions/business opportunityPublic-private partnerships:
255、Collaboration on best practices and ethical normsAI policy frameworks:Unified standards for transparency,fairness,and safetyLow-code/no-code compliance solutions:Tools for rapid compliance deploymentTraining for ethical AI:Upskilling for responsible AI management and useWith stringent AI regulations
256、 coming into force,many enterprises will unify their data and AI governance frameworksEnablersEnablers:Affordable AI tools,AI-integrated compliance platforms,open models and curated datasets,government AI task forces,growing public awarenessInhibitorsInhibitors:Closed models,bias in training data,hi
257、gh implementation costs,limited interoperability across regions and nations,resistance to regulation2052533Brain Computer Interfaces(BCIs)(C+)BCIs will assist individuals with disabilities and enhance communication.High costs,safety concerns,and scalability hinder broader use cases.Problems/DemandCu
258、rrent Interfaces between humans and computers are clunky and inefficientMany interfaces are inaccessible for people with disabilitiesShort and long-term side effects are not fully understoodBrain function may not be sufficiently understood to enable effective design of BCIBCIs are designed for limit
259、ed number of applications there are many other potential ones.Extraction of meaningful signals from BCIs and optimal integration with clinical and other patient specific informationOpportunitiesUsing recorded brain signals(e.g.,EEG)to control computers and other smart systems is a more seamless inte
260、rface between humans and machinesDevelopment of advanced combination of BCI and neuro stimulation approaches can form effective disease managing feedback loops Development of highly personalized control of prosthetic limbs,wheelchairs and communication through computersDevelopment of precise brain s
261、timulation devicesCan be used to treat neurological disorders and enhance cognitive functionsLarge scale production of demonstrated effective devices mitigating motor,speech,sensory deficitsDevelopment of AI based algorithms to optimize data interpretation as well as use BCI information to inform de
262、velopment of AI algorithmsImpactImpactCan revolutionize treatments for neurological disorders(Parkinsons,epilepsy,and depression etc.)by providing precise and targeted therapiesCan enhance cognitive functions,such as memory and learningCan be instrumental in restoring function for people with spinal
263、 cord injuriesCan enable more seamless interactions between humans and AI,potentially leading to smarter and more intuitive AI systemFor individuals with disabilities,BCIs can offer greater independence and control over their environment,improving their overall quality of life Sustainable solutions/
264、business opportunitySustainable solutions/business opportunityImproved reliability and accuracy of sensor data&information analyticsIntegration of wireless charging,energy harvesting,make-on-demand sensors,real-time data analytics.Increasing useful life of the devices power source/identification of
265、new types of power sourcesReducing invasiveness of the interfacesDevelopment of AI systems and high data rate processingNon-invasive BCIs will become more accessible,enabling individuals with neurological conditions to regain communication and mobility functionsEnablers:Enablers:invasiveness minimiz
266、ation,understanding of optimal device operating regime,safety demonstration,high data rate transfer protocols,effective signal processing Inhibitors:Inhibitors:brain surgery associated risk,risk of attacks on implantable devices;safety and privacy concerns,lack of comprehensive ethical and regulator
267、y guidelines,lack of FDG approvals and knowledge of long-term health and psychological effects213Space Computing(C+)Reliable,autonomous computing will support deep-space missions.Challenges include radiation hardening,limited power supply,and extreme environmental conditions.Problems/DemandAlthough
268、optical fiber-based terrestrial communications networks(TCN)can provide large data rates,their reach into remote areas of the world as well as developing countries is limited.This is largely due to the cost of installationWe are experiencing the great Digital Divide,where the few have access to mass
269、ive amounts of information and the majority of the world does notThe development of Smart Cities/Communities require networks that not fixed,agile,federated and cognitiveWe need to develop a complementary symbiotic federated communication network linking the terrestrial fiber optic-based network wit
270、h the Non-Terrestrial Network(NTN)consisting of satellites(GEOs,MEOs,LEOs)and HAPs(High Aerial Platforms)and terrestrial ground stationsThis also calls for solving space sustainability of mega constellationsOpportunitiesA high data-rate low-latency NTN will enable efficient remote tele-operations fr
271、om anywhere in the worldThe TN combined with the NTN is an enabling technology for remote healthcare,intelligent agriculture,mIoT,as well as providing experiential education to developed and underdeveloped areas of the worldMulti-layer multi-dimensional multi-band topologyFlexible systems through Sp
272、ace Software Defined approachAI-driven space and ground segment designImpactWill redefine our communities in terms of allowing access to all,independent of locationWill create smarter,more efficient cities/communitiesReal-time teleoperations,including digital twinsImproved network resiliency and inc
273、reasing availabilityIncreased interest in relevant space educationSustainable solutions/business opportunityResolving the great digital divideA new 3D wireless network architectureThe federated TN/NTN system needs not only the current technology but requires new technologies in the overall scheme of
274、 space computeEnablersEnablers:Advanced antenna technology(phased arrays);direct EHF/Optical inter-satellite links;intelligent networks;AI and machine learning;edge computing;alternative energy sources;small satellite constellations;software defined approachesInhibitorsInhibitors Government regulati
275、on and coordination Initial CAPEX(although some large companies are investing already);government buy-in;limited workforce;new standards required for network security,timing and causality22543Written by our Team MembersIEEE Computer Society Leaders Reveal Predictions on the Technologies to Watch in
276、2024.https:/puter.org/press-room/2024-technology-predictions-revealed Milojicic,D.,“The Art of Prediction,”presented at IEEE SERVICES,and Carl Chang Symposium,Chicago,IL.,2023.D.Milojicic,Technology Predictions,in Computer,52(12),pp.31-33,Dec.2019.P.Laplante,D.Milojicic,“Technology Predictions,”IEEE
277、 Computer 54(7),July 2021.P.Laplante and D.Milojicic,“Predicting technologies that advance humanity,”Computer,55(7),pp.1517,Jul.2022.D.Milojicic and P.Laplante,Predicting Technology and Its Impact on Humanity,in Computer,56(7),pp.17-20,July 2023.D.Milojicic and P.Laplante,Technology Predictions:Tech
278、nologies that Advance Humanity and Broad AI Adoption,in Computer,57(8),pp.22-25,Aug.2024.IEEE Future Directions Megatrends Report:https:/bit.ly/get-megatrendsThe IEEE Institute article on Megatrends https:/spectrum.ieee.org/preieee-2024-technology-megatrends-report C.Bash,P.Faraboschi,E.Frachtenberg
279、,P.Laplante,D.Milojicic,R.Saracco,“Megatrends,”Computer 56(07),93-100,2023.P.Faraboschi,E Frachtenberg,P Laplante,D.Milojicic,R Saracco,“Digital transformation:Lights and shadows,”Computer 56(4),123-130.2023.C.Bash,N.Hogade,D.Milojicic,G.Rattihalli,CD Patel,“Sustainability:Fundamentals-Based Approac
280、h to Paying It Forward,”Computer 56(1),125-132.2023.P.Faraboschi,E.Frachtenberg,P.Laplante,D.Milojicic and R.Saracco,Artificial General Intelligence:Humanitys Downturn or Unlimited Prosperity,in Computer,vol.56,no.10,pp.93-101,Oct.2023.P.Faraboschi,E.Frachtenberg,P Laplante,D Milojicic,R Saracco,“Vi
281、rtual worlds(Metaverse):From skepticism,to fear,to immersive opportunities,”,Computer 55(10),100-106,2022.H.Alkhatib et al.,What Will 2022 Look Like?The IEEE CS 2022 Report,in Computer,vol.48,no.3,pp.68-76,Mar.2015.M.Arlitt et al.,Future of the Workforce,Computer 56(1),pp.52-63,Jan.2023.Written by O
282、thersForrester,Predictions 2025,https:/ Max Goss,“Gartners Top Strategic Technology Trends for 2025”,https:/ Unveils 2025 FutureScapes:Worldwide IT Industry Predictions,”https:/ TMT 2025 Predictions,“TMT Predictions 2025:Bridging the gaps,”https:/ Accenture,“Life Trends 2025,”https:/ Review,“10 Brea
283、kthrough Technologies 2024,”(and 2023)https:/ Economic Forum.“What is a Transformation Map?”,https:/www.weforum.org/agenda/2017/11/what-is-a-transformation-mapForbes,“The 5 Biggest Technology Trends For 2025 Everyone Must Be Ready For Now,”https:/ Spectrum,11 Intriguing Engineering Milestones to look for in 2024https:/spectrum.ieee.org/technology-in-2024 To Learn More55Thank You!Contact for the team: