OpenAI

Source: https://openai.com

Found 1065 news

  • Solving Rubik’s Cube with a robot hand
    OpenAI - 07:00 Oct 15, 2019
    We’ve trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand. The neural networks are trained entirely in simulation, using the same reinforcement learning code as OpenAI Five paired with a new technique called Automatic Domain Randomization (ADR). The system can handle situations it never saw during training, such as being prodded by a stuffed giraffe. This shows that reinforcement learning isn’t just a tool for virtual tasks, but can solve physical-world problems requiring unprecedented dexterity.
    Tags: CUBE
  • OpenAI Scholars 2020: Applications open
    OpenAI - 07:00 Oct 11, 2019
    We are now accepting applications for our third class of OpenAI Scholars.
    Tags: OpenAI Scholars
  • Fine-tuning GPT-2 from human preferences
    OpenAI - 07:00 Sep 19, 2019
    We’ve fine-tuned the 774M parameter GPT-2 language model using human feedback for various tasks, successfully matching the preferences of the external human labelers, though those preferences did not always match our own. Specifically, for summarization tasks the labelers preferred sentences copied wholesale from the input (we’d only asked them to ensure accuracy), so our models learned to copy. Summarization required 60k human labels; simpler tasks which continue text in various styles required only 5k. Our motivation is to move safety techniques closer to the general task of “machines talking to humans,” which we believe is key to extracting information about human values.
  • Emergent tool use from multi-agent interaction
    OpenAI - 07:00 Sep 17, 2019
    We’ve observed agents discovering progressively more complex tool use while playing a simple game of hide-and-seek. Through training in our new simulated hide-and-seek environment, agents build a series of six distinct strategies and counterstrategies, some of which we did not know our environment supported. The self-supervised emergent complexity in this simple environment further suggests that multi-agent co-adaptation may one day produce extremely complex and intelligent behavior.
  • Testing robustness against unforeseen adversaries
    OpenAI - 07:00 Aug 22, 2019
    We’ve developed a method to assess whether a neural network classifier can reliably defend against adversarial attacks not seen during training. Our method yields a new metric, UAR (Unforeseen Attack Robustness), which evaluates the robustness of a single model against an unanticipated attack, and highlights the need to measure performance across a more diverse range of unforeseen attacks.
  • GPT-2: 6-month follow-up
    OpenAI - 07:00 Aug 20, 2019
    We’re releasing the 774 million parameter GPT-2 language model after the release of our small 124M model in February, staged release of our medium 355M model in May, and subsequent research with partners and the AI community into the model’s potential for misuse and societal benefit. We’re also releasing an open-source legal agreement to make it easier for organizations to initiate model-sharing partnerships with each other, and are publishing a technical report about our experience in coordinating with the wider AI research community on publication norms.
    Tags: GPT-2
  • Learning Day
    OpenAI - 07:00 Aug 01, 2019
    At OpenAI, each Thursday is Learning Day: a day where employees have the option to self-study technical skills that will make them better at their job but which aren’t being learned from daily work.
    Tags: Learning
  • Microsoft invests in and partners with OpenAI to support us building beneficial AGI
    OpenAI - 07:00 Jul 22, 2019
    Microsoft is investing $1 billion in OpenAI to support us building artificial general intelligence (AGI) with widely distributed economic benefits. We’re partnering to develop a hardware and software platform within Microsoft Azure which will scale to AGI. We’ll jointly develop new Azure AI supercomputing technologies, and Microsoft will become our exclusive cloud provider—so we’ll be working hard together to further extend Microsoft Azure’s capabilities in large-scale AI systems.
    Tags: Microsoft OpenAI
  • Why responsible AI development needs cooperation on safety
    OpenAI - 07:00 Jul 10, 2019
    We’ve written a policy research paper identifying four strategies that can be used today to improve the likelihood of long-term industry cooperation on safety norms in AI: communicating risks and benefits, technical collaboration, increased transparency, and incentivizing standards. Our analysis shows that industry cooperation on safety will be instrumental in ensuring that AI systems are safe and beneficial, but competitive pressures could lead to a collective action problem, potentially causing AI companies to under-invest in safety. We hope these strategies will encourage greater cooperation on the safe development of AI and lead to better global outcomes of AI.
  • OpenAI Robotics Symposium 2019
    OpenAI - 07:00 Jun 05, 2019
    We hosted the first OpenAI Robotics Symposium on April 27, 2019.
    Tags: OpenAI Robotics Symposium
  • OpenAI Scholars 2019: Final projects
    OpenAI - 07:00 May 23, 2019
    Our second class of OpenAI Scholars has concluded, with all eight scholars producing an exciting final project showcased at Scholars Demo Day at OpenAI.
    Tags: OpenAI Scholars
  • OpenAI Fellows Fall 2018: Final projects
    OpenAI - 07:00 May 17, 2019
    Our second class of OpenAI Fellows has wrapped up, with each Fellow going from a machine learning beginner to core OpenAI contributor in the course of a 6-month apprenticeship. We are currently reviewing applications on a rolling basis for our next round of OpenAI Fellows Summer 2019.
  • Transfer of adversarial robustness between perturbation types
    OpenAI - 07:00 May 03, 2019
  • MuseNet
    OpenAI - 07:00 Apr 25, 2019
    We’ve created MuseNet, a deep neural network that can generate 4-minute musical compositions with 10 different instruments, and can combine styles from country to Mozart to the Beatles. MuseNet was not explicitly programmed with our understanding of music, but instead discovered patterns of harmony, rhythm, and style by learning to predict the next token in hundreds of thousands of MIDI files. MuseNet uses the same general-purpose unsupervised technology as GPT-2, a large-scale transformer model trained to predict the next token in a sequence, whether audio or text.
    Tags: MuseNet
  • Generative modeling with sparse transformers
    OpenAI - 07:00 Apr 23, 2019
    We’ve developed the Sparse Transformer, a deep neural network which sets new records at predicting what comes next in a sequence—whether text, images, or sound. It uses an algorithmic improvement of the attention mechanism to extract patterns from sequences 30x longer than possible previously.
  • OpenAI Five defeats Dota 2 world champions
    OpenAI - 07:00 Apr 15, 2019
    OpenAI Five is the first AI to beat the world champions in an esports game, having won two back-to-back games versus the world champion Dota 2 team, OG, at Finals this weekend. Both OpenAI Five and DeepMind’s AlphaStar had previously beaten good pros privately but lost their live pro matches, making this also the first time an AI has beaten esports pros on livestream.
    Tags: OpenAI Five Dota
  • OpenAI Five Finals
    OpenAI - 07:00 Mar 26, 2019
    We’ll be holding our final live event for OpenAI Five at 11:30am PT on April 13.
  • Implicit generation and generalization methods for energy-based models
    OpenAI - 07:00 Mar 21, 2019
    We’ve made progress towards stable and scalable training of energy-based models (EBMs) resulting in better sample quality and generalization ability than existing models. Generation in EBMs spends more compute to continually refine its answers and doing so can generate samples competitive with GANs at low temperatures, while also having mode coverage guarantees of likelihood-based models. We hope these findings stimulate further research into this promising class of models.
  • OpenAI Scholars 2019: Meet our Scholars
    OpenAI - 07:00 Mar 13, 2019
    Our class of eight scholars (out of 550 applicants) brings together collective expertise in literature, philosophy, cell biology, statistics, economics, quantum physics, and business innovation.
  • OpenAI LP
    OpenAI - 07:00 Mar 11, 2019
    We’ve created OpenAI LP, a new “capped-profit” company that allows us to rapidly increase our investments in compute and talent while including checks and balances to actualize our mission.
    Tags: OpenAI

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