OpenAI News
Some machine learning applications involve training data that is sensitive, such as the medical histories of patients in a clinical trial. A model may inadvertently and implicitly store some of its training data; careful analysis of the model may therefore...
OpenAI News
Last week we hosted over a hundred and fifty AI practitioners in our offices for our first self-organizing conference on machine learning.
OpenAI News
Developing control policies in simulation is often more practical and safer than directly running experiments in the real world. This applies to policies obtained from planning and optimization, and even more so to policies obtained from reinforcement...
OpenAI News
Deep learning is an empirical science, and the quality of a group’s infrastructure is a multiplier on progress. Fortunately, today’s open-source ecosystem makes it possible for anyone to build great deep learning infrastructure.
OpenAI News
The latest information about the Unconference is now available at the Unconference wiki, which will be periodically updated with more information for attendees.
OpenAI News
We’ve hired more great people to help us achieve our goals. Welcome, everyone!
OpenAI News
Impactful scientific work requires working on the right problems—problems which are not just interesting, but whose solutions matter.
OpenAI News
We (along with researchers from Berkeley and Stanford) are co-authors on today’s paper led by Google Brain researchers, Concrete Problems in AI Safety. The paper explores many research problems around ensuring that modern machine learning systems operate as...
OpenAI News
OpenAI’s mission is to build safe AI, and ensure AI’s benefits are as widely and evenly distributed as possible.
OpenAI News
This post describes four projects that share a common theme of enhancing or using generative models, a branch of unsupervised learning techniques in machine learning. In addition to describing our work, this post will tell you a bit more about generative...
OpenAI News
We’d like to welcome the latest set of team members to OpenAI (and we’re still hiring!)
OpenAI News
Adversarial training provides a means of regularizing supervised learning algorithms while virtual adversarial training is able to extend supervised learning algorithms to the semi-supervised setting. However, both methods require making small perturbations...