✷ The archive · 11 labs · 1,214 dispatches
The labs
No more opening a dozen official blogs every morning. First-hand releases from OpenAI, Anthropic, DeepMind and the rest, each with its substance pulled out.
OpenAI Infrastructure for Deep Learning and the Kubernetes-EC2 Autoscaler
OpenAI published its deep learning infrastructure practices and released the Kubernetes‑EC2 autoscaler to help researchers scale bursty workloads across AWS and on‑premises GPU clusters.
OpenAI Machine Learning Unconference 2016 Announcement
OpenAI announced a free Machine Learning Unconference to be held October 7‑8, 2016 at its San Francisco office, aiming to foster participant‑driven discussion and networking among ML researchers and practitioners.
OpenAI Team Update August 2016: New Full‑time Hires and Interns
On August 16, 2016 OpenAI announced the addition of five new full‑time researchers and engineers and several interns and visitors, expanding its expertise in speech, safety, strategy, GPU optimization, deep learning, and related fields.
OpenAI Special Projects 2016
OpenAI announced a list of four priority problem areas in 2016 focused on advancing AI capabilities and mitigating societal risks, including AI detection, automated programming, cybersecurity, and complex simulations.
OpenAI and Google Brain: Concrete Problems in AI Safety
OpenAI, Google Brain, Berkeley, and Stanford researchers have identified five core technical challenges in AI safety to ensure modern machine learning systems operate as intended.
OpenAI Technical Goals (2016)
OpenAI outlined its early technical roadmap in 2016, focusing on creating a universal intelligence metric and developing agents capable of robotics, natural language understanding, and multi-game mastery.
OpenAI Generative Models Research Overview
OpenAI outlines the role of generative models in achieving machine understanding of the world and introduces five research projects improving GANs, VAEs, and reinforcement learning.
OpenAI Team Update May 2016
OpenAI announced the addition of several new full-time employees and interns with expertise in deep learning, competitive programming, AI safety, and infrastructure engineering.
Adversarial Training Methods for Semi-Supervised Text Classification
OpenAI researchers developed a method to apply adversarial and virtual adversarial training to text by perturbing word embeddings in a recurrent neural network, achieving state-of-the-art results in semi-supervised text classification.
OpenAI Gym Beta Release
OpenAI has released the public beta of OpenAI Gym, a toolkit designed to standardize reinforcement learning environments and accelerate algorithm development and comparison.
OpenAI Team Updates: Pieter Abbeel and Shivon Zilis Join
OpenAI announced the addition of Pieter Abbeel as a full-time team member and Shivon Zilis as an official advisor in April 2016.
OpenAI Team++ Update
OpenAI announced the addition of several high-profile machine learning researchers and interns, focusing their current efforts on unsupervised learning and reinforcement learning.
Weight Normalization: Accelerating Deep Neural Network Training
OpenAI researchers introduced weight normalization, a reparameterization technique that decouples weight vector length from direction to accelerate stochastic gradient descent convergence without the minibatch dependencies of batch normalization.
Introducing OpenAI: Non-Profit AI Research Initiative (December 2015)
On December 11, 2015, OpenAI announced its launch as a non-profit AI research organization dedicated to advancing digital intelligence for broad human benefit without financial constraints.