Computers can now recognize objects in images and video and transcribe speech to text better than humans can. A new discipline called “deep learning” arose and applied complex neural network architectures to model patterns in data more accurately than ever before. Neural networks were invented in the 60s, but recent boosts in big data and computational power made them actually useful. No wonder there are so many misconceptions about what A.I. Much of the A.I. hubbub is generated by reporters who’ve never trained a neural network and startups hoping to be acquihired for engineering talent despite not solving any real business problems. Not only can smart standing desks remember your height settings, they can also order you lunch. Ordinary objects like juicers and wifi routers suddenly advertise themselves as “powered by AI”. startups pop up every day and claim to solve all your personal and business problems with machine learning. News outlets report that companies have replaced workers with IBM Watson and algorithms are beating doctors at diagnoses. Artificial intelligence has reached peak hype.
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