Latest AI/ML News

We’re providing 6–10 stipends and mentorship to individuals from underrepresented groups to study deep learning full-time for 3 months and open-source…

We’ve developed a simple meta-learning algorithm called Reptile which works by repeatedly sampling a task, performing stochastic gradient descent on i…

On March 3rd, we hosted our first hackathon with 100 members of the artificial intelligence community.

We’re launching a transfer learning contest that measures a reinforcement learning algorithm’s ability to generalize from previous experience.

We’re releasing an experimental metalearning approach called Evolved Policy Gradients, a method that evolves the loss function of learning agents, whi…

We’re proposing an AI safety technique which trains agents to debate topics with one another, using a human to judge who wins.

We’re releasing an analysis showing that since 2012, the amount of compute used in the largest AI training runs has been increasing exponentially with…

We’re releasing the full version of Gym Retro, a platform for reinforcement learning research on games. This brings our publicly-released game count f…

We’re now accepting applications for the next cohort of OpenAI Fellows, a program which offers a compensated 6-month apprenticeship in AI research at…

We’ve obtained state-of-the-art results on a suite of diverse language tasks with a scalable, task-agnostic system, which we’re also releasing. Our ap…

The first run of our Retro Contest—exploring the development of algorithms that can generalize from previous experience—is now complete.

Our team of five neural networks, OpenAI Five, has started to defeat amateur human teams at Dota 2.

We’ve trained an agent to achieve a high score of 74,500 on Montezuma’s Revenge from a single human demonstration, better than any previously publishe…