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OpenAI and Microsoft
Weβre working with Microsoft to start running most of our large-scale experiments on Azure.
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Semi-supervised knowledge transfer for deep learning from private training data
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Report from the self-organizing conference
Last week we hosted over a hundred and fifty AI practitioners in our offices for our first self-organizing conference on machine learning.
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Machine Learning Unconference
The latest information about the Unconference is now available at the Unconference wiki, which will be periodically updated with more information for attendees.
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Concrete AI safety problems
We (along with researchers from Berkeley and Stanford) are co-authors on todayβs paper led by Google Brain researchers,Β Concrete Problems in AI Safety. The paper explores many research problems around ensuring that modern machine learning systems operate as intended.
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OpenAI technical goals
OpenAIβs mission is to build safe AI, and ensure AIβs benefits are as widely and evenly distributed as possible.
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Team update
Weβd like to welcome the latest set of team members to OpenAI (and weβre still hiring!)
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Adversarial training methods for semi-supervised text classification
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OpenAI Gym Beta
Weβre releasing the public beta of OpenAI Gym, a toolkit for developing and comparing reinforcement learning (RL) algorithms. It consists of a growing suite of environments (from simulated robots to Atari games), and a site for comparing and reproducing results.
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Weight normalization: A simple reparameterization to accelerate training of deep neural networks
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Introducing OpenAI
OpenAI is a non-profit artificial intelligence research company. Our goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return. Since our research is free from financial obligations, we can better focus...
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