neuromorphic stereo vision systems, page-6

28 Sep 2016 at 07:42, Katyanna Quach
Unsupervised learning is a problem Yann LeCun, Facebook’s AI guru, really wants to crack. It promises to lead researchers to a next generation of AI – one where machines have higher intelligence and can perceive the world and act accordingly – something we call common sense.


That type of learning is unsupervised and requires at least 100 times more computing power than supervised learning at millions of bits per sample.
Current AI models are able to recognize the world, but have trouble reasoning and planning.
To build a truly intelligent machine with common sense, it must be able to perceive the world, plan, reason, and make accurate predictions so it can act accordingly based on all the knowledge it holds in its memory.
LeCun is determined to find unsupervised learning algorithms that can be used for visual recognition. Not only is this good for Facebook – it’ll help researchers build more intelligent machines, and maybe a deeper understanding of human intelligence and the underlying mechanisms of learning.

But until then, AI will only continue performing well at specific tasks, keeping general AI firmly locked in science fiction. ®