Demis Hassabis has a modest demeanour and an unassuming countenance, but he is deadly serious when he tells me he is on a mission to “solve intelligence, and then use that to solve everything else”. Coming from almost anyone else, the statement would be laughable; from him, not so much. Hassabis is the 39-year-old former chess master and video-games designer whose artificial intelligence research start-up, DeepMind, was bought by Google in 2014 for a reported $625 million. He is the son of immigrants, attended a state comprehensive in Finchley and holds degrees from Cambridge and UCL in computer science and cognitive neuroscience. A “visionary” manager, according to those who work with him, Hassabis also reckons he has found a way to “make science research efficient” and says he is leading an “Apollo programme for the 21st century”.
Quick Summary (Extracted by Machine Learning)
- Hassabis is the 39-year-old former chess master and video-games designer whose artificial intelligence research start-up, DeepMind, was bought by Google in 2014 for a reported $625 million.
- Hassabis, on the other hand, is taking his inspiration from the human brain and attempting to build the first general-purpose learning machine : a single set of flexible, adaptive algorithms that can learn in the same way biological systems do how to master any task from scratch, using nothing more than raw data.
- And in the short term, Google products will surely benefit from Hassabis s research, even if improvements in personalisation, search, YouTube, and speech and facial recognition are not presented as AI as such.
- Most AI systems are narrow , training pre-programmed agents to master a particular task and not much else.
- In February 2015, the world s leading science journal, Nature, featured pixellated Space Invaders on its front cover alongside the revelation that self-taught AI software had attained human-level performance in video games .
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Author: More Features
Published: Tue Feb 16 2016 00:15:07 GMT-0800 (PST)