OpenAI Blog

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…

Transfer from simulation to real world through learning deep inverse dynamics model

Infrastructure for deep learning

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

Machine Learning Unconference

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

Special projects

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

Concrete AI safety problems

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

OpenAI technical goals

OpenAI’s mission is to build safe AI, and ensure AI’s benefits are as widely and evenly distributed as possible.

Generative models

This post describes four projects that share a common theme of enhancing or using generative models, a branch of…

Adversarial training methods for semi-supervised text classification

OpenAI Gym Beta

We’re releasing the public beta of OpenAI Gym, a toolkit for developing and comparing reinforcement learning (RL)…

Welcome, Pieter and Shivon!

We have two more team updates.

Team++

We’ve had some fantastic people join over the past few months (and we’re still hiring). Welcome, everyone!

Weight normalization: A simple reparameterization to accelerate training of deep neural networks

Introducing OpenAI

OpenAI is a non-profit artificial intelligence research company. Our goal is to advance digital intelligence in the way…