Technology News, Trends, And Future-Ready Signals

A connection between generative adversarial networks, inverse reinforcement lear...

RL²: Fast reinforcement learning via slow reinforcement learning

Variational lossy autoencoder

Extensions and limitations of the neural GPU

Semi-supervised knowledge transfer for deep learning from private training data

Report from the self-organizing conference

Last week we hosted over a hundred and fifty AI practitioners in our offices for our first self-organizing conference on...

Transfer from simulation to real world through learning deep inverse dynamics mo...

Infrastructure for deep learning

Deep learning is an empirical science, and the quality of a group’s infrastructure is a multiplier on progress. Fortunat...

Machine Learning Unconference

The latest information about the Unconference is now available at the Unconference wiki, which will be periodically upda...

Team update

We’ve hired more great people to help us achieve our goals. Welcome, everyone!

Special projects

Impactful scientific work requires working on the right problems—problems which are not just interesting, but whose solu...

Concrete AI safety problems

We (along with researchers from Berkeley and Stanford) are co-authors on today’s paper led by Google Brain researchers, ...