We've just open-sourced the code for Stacked Capsule Autoencoders (NeurIPS '19): github.com/google-researc… joint work with @sabour_sara, @yeewhye and @geoffreyhinton

This is a much better version of capsules. twitter.com/arkosiorek/sta…

This report on Trump's concentration camps for migrant children is absolutely horrifying. Conditions are unsanitary and unsafe. Children, toddlers, infants are dying of purposeful neglect. This is a... nytimes.com/2019/06/21/us/…

Inman is always thought-provoking. twitter.com/wdeback/status…

The future is already here: I trained a neural net called Ilya for 10 years :-)

The X factor: When I was an undergrad at Kings College Cambridge, Les Valiant who won the Turing award in 2010 lived in the adjacent room on X staircase. He just told me that Turing lived on X staircase when he was a fellow at Kings and probably wrote his 1936 paper there!

Thanks to my graduate students and postdocs whose work won a Turing award. Thanks to my visionary mentors Inman Harvey, David Rumelhart and Terry Sejnowski. And thanks to Jeff Dean for creating the brain team that turns basic research in neural nets into game-changing products.

:-) One fey thin frog

Some new work from the brain team in Toronto @rishabh_467 @Mo_Norouzi twitter.com/GoogleAI/statu…

@ilyasut This should allow unicorns in silicon valley to produce better English. twitter.com/OpenAI/status/…

Vector Institute is offering scholarships to top candidates applying to AI Master’s Programs. Learn more vectorinstitute.ai/aimasters/ pic.twitter.com/u3Z2nkRkaD

That's only my view about backpropagation when trying to understand the brain and even then I'm not sure. It would be silly to throw it away when doing engineering, because it works really well.

:-)

My Coursera MOOC "Neural Networks for Machine Learning" was prepared in 2012 and is now seriously out of date so I have asked them to discontinue the course. But the lectures are still a good introduction to many of the basic ideas and are available at cs.toronto.edu/~hinton/course…

The Google Brain team in Toronto has openings for several research scientists who have already made exceptional contributions to research on deep learning or its applications in NLP, vision, or reinforcement learning. To apply, go to careers.google.com/jobs/results/6…