OpenAI

Source: https://openai.com

Found 1065 news

  • Report from the OpenAI hackathon
    OpenAI - 07:00 Mar 15, 2018
    On March 3rd, we hosted our first hackathon with 100 members of the artificial intelligence community.
  • Improving GANs using optimal transport
    OpenAI - 07:00 Mar 15, 2018
  • On first-order meta-learning algorithms
    OpenAI - 08:00 Mar 08, 2018
  • Reptile: A scalable meta-learning algorithm
    OpenAI - 08:00 Mar 07, 2018
    We’ve developed a simple meta-learning algorithm called Reptile which works by repeatedly sampling a task, performing stochastic gradient descent on it, and updating the initial parameters towards the final parameters learned on that task. Reptile is the application of the Shortest Descent algorithm to the meta-learning setting, and is mathematically similar to first-order MAML (which is a version of the well-known MAML algorithm) that only needs black-box access to an optimizer such as SGD or Adam, with similar computational efficiency and performance.
    Tags: Reptile
  • OpenAI Scholars
    OpenAI - 08:00 Mar 06, 2018
    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 a project.
  • Some considerations on learning to explore via meta-reinforcement learning
    OpenAI - 08:00 Mar 03, 2018
  • Ingredients for robotics research
    OpenAI - 08:00 Feb 26, 2018
    We’re releasing eight simulated robotics environments and a Baselines implementation of Hindsight Experience Replay, all developed for our research over the past year. We’ve used these environments to train models which work on physical robots. We’re also releasing a set of requests for robotics research.
  • Multi-Goal Reinforcement Learning: Challenging robotics environments and request for research
    OpenAI - 08:00 Feb 26, 2018
  • OpenAI hackathon
    OpenAI - 08:00 Feb 22, 2018
    Come to OpenAI’s office in San Francisco’s Mission District for talks and a hackathon on Saturday, March 3rd.
    Tags: OpenAI
  • Preparing for malicious uses of AI
    OpenAI - 08:00 Feb 20, 2018
    We’ve co-authored a paper that forecasts how malicious actors could misuse AI technology, and potential ways we can prevent and mitigate these threats. This paper is the outcome of almost a year of sustained work with our colleagues at the Future of Humanity Institute, the Centre for the Study of Existential Risk, the Center for a New American Security, the Electronic Frontier Foundation, and others.
  • OpenAI supporters
    OpenAI - 08:00 Feb 20, 2018
    We’re excited to welcome new donors to OpenAI.
    Tags: OpenAI
  • Interpretable machine learning through teaching
    OpenAI - 08:00 Feb 15, 2018
    We’ve designed a method that encourages AIs to teach each other with examples that also make sense to humans. Our approach automatically selects the most informative examples to teach a concept—for instance, the best images to describe the concept of dogs—and experimentally we found our approach to be effective at teaching both AIs
  • Discovering types for entity disambiguation
    OpenAI - 08:00 Feb 07, 2018
    We’ve built a system for automatically figuring out which object is meant by a word by having a neural network decide if the word belongs to each of about 100 automatically-discovered “types” (non-exclusive categories).
  • Requests for Research 2.0
    OpenAI - 08:00 Jan 31, 2018
    We’re releasing a new batch of seven unsolved problems which have come up in the course of our research at OpenAI.
  • Scaling Kubernetes to 2,500 nodes
    OpenAI - 08:00 Jan 18, 2018
  • Block-sparse GPU kernels
    OpenAI - 08:00 Dec 06, 2017
    We’re releasing highly-optimized GPU kernels for an underexplored class of neural network architectures: networks with block-sparse weights. Depending on the chosen sparsity, these kernels can run orders of magnitude faster than cuBLAS or cuSPARSE. We’ve used them to attain state-of-the-art results in text sentiment analysis and generative modeling of text and images.
  • Learning sparse neural networks through L₀ regularization
    OpenAI - 08:00 Dec 04, 2017
  • Interpretable and pedagogical examples
    OpenAI - 07:00 Nov 02, 2017
  • Learning a hierarchy
    OpenAI - 07:00 Oct 26, 2017
    We’ve developed a hierarchical reinforcement learning algorithm that learns high-level actions useful for solving a range of tasks, allowing fast solving of tasks requiring thousands of timesteps. Our algorithm, when applied to a set of navigation problems, discovers a set of high-level actions for walking and crawling in different directions, which enables the agent to master new navigation tasks quickly.
  • Generalizing from simulation
    OpenAI - 07:00 Oct 19, 2017
    Our latest robotics techniques allow robot controllers, trained entirely in simulation and deployed on physical robots, to react to unplanned changes in the environment as they solve simple tasks. That is, we’ve used these techniques to build closed-loop systems rather than open-loop ones as before.

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