At GoodAI, we’re interested in multi-agent architectures that can learn to rapidly adapt to new and unseen environments we expect the behavior and adaptation to be learned through communication of homogeneous units inside a single agent, allowing for better generalization.
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Recently the Organisation for Economic Co-operation and Development (OECD) organized the first meeting of OECD Network of Experts on AI (ONE AI) in Paris, where Marek Havrda, GoodAI’s AI Policy and Social Impact Director, presented a plan for practical AI.
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The idea of the Badger architecture is to make a learning agent with increased generality by virtue of allowing task-specific learning to occur in the activations of an extensible pool of ‘experts’ who all share the same weights.
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Last week Marek Havrda of GoodAI, Wendell Wallach of Yale University, together with the City of Prague organized a preparatory workshop in Brussels for the 1st International Congress for the Governance of AI.
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GoodAI was proud to support the Animal-AI Olympics which was organized by the Leverhulme Centre for the Future of Intelligence, Imperial College London, and the University of Cambridge. The project aimed to benchmark AI agents against multiple animal species.
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People are interested in knowing what our progress was in 2019 and what our plans are for 2020. In this post, you can learn about the highlights of last year and our plans for the future. Summary Space Engineers released.
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The GoodAI Research team recently traveled to Vancouver, Canada for NeurIPS 2019 where they introduced the new Badger Architecture to many participants and had great discussions with some of the best minds in the industry! The conference welcomed around 13,000.
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GoodAI has publically released the Badger Architecture which is the culmination of five years of work at GoodAI. Find out more about it and read the paper.
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