U of T's Geoffrey Hinton is one of the world’s leading computer scientists, vice-president engineering fellow at Google, and the architect of an approach to artificial intelligence (AI) that will radically alter the role computers play in our lives.
Hinton, an emeritus distinguished professor in the department of computer science at the Faculty of Arts & Science, began building artificial neural networks in the 1970s. His aim was to create machines that think and learn by modelling the structure of the human brain. At the time, most researchers rejected the neural network approach to AI. But Hinton and his team kept at it.
In the past decade, their deep-learning neural networks have outstripped traditional AI in almost every benchmark. In 2013, Google acquired Hinton’s neural networks startup, DNNresearch. He was recently named to the 2016 Wired 100 list of global influencers.
His learning machines have proven immensely practical. They make self-driving cars safer, effortlessly translate between languages and will increasingly take on manual and cognitive tasks for us, at work and at home. Their ability to discover patterns in vast data sets is also helping us advance genomic medicine and develop new treatments for disease.
Hinton’s desire is simple: “I want to understand how the brain comp
https://www.utoronto.ca/news/u-t-geoffrey-hinton-ai-will-eventually-surpass-human-brain-getting-jokes-could-take-time
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