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1、Table of ContentsForeword 4Silicon 100:The Class of 20237AI Dreams and Chinas Startup Surge Impact the Silicon 100 8Company List by Category 14Geographic Mapping 16EE Times Lists 100 Emerging Companies to Watch in 2023 18Video Interview 54 China Fabless to Watch 55 China Fabless 100 Ranking 2023 Rev

2、eals Three Major Trends in Chinas IC Design Industry 56Top 10 Analog Companies 58Top 10 Sensor Companies 61Top 10 AI Companies 64Top 10 Memory Companies 67Top 10 PMIC Companies 69Top 10 Power Device Companies 72Top 10 MCU Companies 75Top 10 Processor Companies 78Top 10 Wireless Companies 81Top 10 Co

3、mmunication Companies 84Masthead87Silicon3Hardware is hard,but hardness is gradually softening.The past year has seen an extraordinary leap in AI capabilities,from natural lan-guage processing to computer vision,tinyML,autoML and edge computing.In the meantime,chipmakers are turning to AI to design

4、chips faster,less expensively and more efficiently.Deloitte Global anticipates that the worlds leading semiconductor companies could spend$300 million on in-house and third-party AI tools for chip de-sign in 2023,and it expects the tally to increase by 20%a year over the next four years,to exceed$50

5、0 million in 2026.EDA vendors have been touting the integration of AI into their design tools,though there is still progress to be made toward the promised goal of easier hardware.Today,generative AI seems to be eliminating the“hard”from hardware projects,and Deloitte Global expects the growth in ad

6、vanced AI tools for chip design to be more than twice that of the overall EDA category and more than triple the growth rate of chip sales over the next five years.The advent of ChatGPT and similar generative AI tools has taken the venture capital world by storm.Despite the slowdown in VC funding ove