DHL&BM：物流中的人工智能(2018)(英文版)(45页).pdf

1、Powered by DHL Trend Research ARTIFICIAL INTELLIGENCE IN LOGISTICS A collaborative report by DHL and IBM on implications and use cases for the logistics industry 2018 PUBLISHER DHL Customer Solutions systems that approximate, mimic, replicate, automate, and eventually improve on human thinking. Thro

2、ughout the past half-century a few key com- ponents of AI were established as essential: the ability to perceive, understand, learn, problem solve, and reason. Countless working definitions of AI have been proposed over the years but the unifying thread in all of them is 1 UNDERSTANDING ARTIFICIAL I

3、NTELLIGENCE Understanding Artificial Intelligence3 that computers with the right software can be used to solve the kind of problems that humans solve, interact with humans and the world as humans do, and create ideas like humans. In other words, while the mechanisms that give rise to AI are artifici

4、al, the intelligence to which AI is intended to approximate is indistinguishable from human intelligence. In the early days of the science, pro- cessing inputs from the outside world required extensive programming, which limited early AI systems to a very narrow set of inputs and conditions. However

5、 since then, computer science has worked to advance the capability of AI-enabled computing systems. Board games have long been a proving ground for AI research, as they typically involve a finite number of players, rules, objectives, and possible moves. This essen- tially means that games one by one

6、, including checkers, backgammon, and even Jeopardy! to name a few have been taken over by AI. Most famously, in 1997 IBMs Deep Blue defeated Garry Kasparov, the then reigning world champion of chess. This trajectory persists with the ancient Chinese game of Go, and the defeat of reigning world cham