My experiments with the evolutionary dynamics of sexual selection
GoodAI CEO Marek Rosa has been experimenting with the evolutionary dynamics of sexual selection. In this blog, he outlines some of his findings.
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Top NeurIPS 2020 picks by GoodAI team
December 16, 2020
Research
In this post we outline some of the highlights of the conference, in particular from the point of view of research that relates to research on our Badger architecture or is relevant to our present endeavors.
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Nature article – Artificial intelligence finds surprising patterns in Earth’s biological mass extinctions
The idea that mass extinctions allow many new types of species to evolve is a central concept in evolution, but a new study using artificial intelligence to examine the fossil record finds this is rarely true.
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International AI in robotics project VeriDream awarded €2 million by European Innovation Council
November 23, 2020
Research
GoodAI are part of The VeriDream project, an international consortium of six organizations across Europe, that has been awarded €2 million by the European Innovation Council to carry out a research and innovation strategy.
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What kind of AGI do we want?
November 22, 2020
Research
An opinion on what kind of research framework do we need, if we want the AI to perpetuate some of the values we hold dearest: curiosity, creativity, a need to be surprised, and to marvel.
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Springer Article – AI’s Role in Community Engagement within the Democratic Process
November 20, 2020
AI Policy and Society
New article in Springer Journal by GoodAI's AI Policy & Social Impact Director on Artificial Intelligence’s Role in Community Engagement within the Democratic Process.
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The next step to Human-Level AI? GoodAI awards grant for exploring how novel behaviors arise in artificial intelligence
October 26, 2020
Research
Artificial intelligence (AI) research and development company, GoodAI, has awarded a grant to Tomáš Mikolov from the Czech Institute of Informatics, Robotics, and Cybernetics CTU to study how novel behaviors arise in AI.
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Learning in Badger experts improves with episodic memory
AI agents often operate in partially observable environments, where only part of the environment state is visible at any given time. An agent in such an environment needs memory to compute effective actions from the history of its actions.
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