Bayesian Online Meta-Learning (BOML) for continual & gradual learning
New project aims to create AI that can continually acquire knowledge in different domains as well as utilize past experiences to quickly adapt to new unseen tasks.
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GoodAI enters into research collaboration to progress meta-learning and combinatorial generalization
Self-improving artificial intelligence that can learn new tasks from small amounts of data is a crucial step for the advancement of strong artificial intelligence.
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Creating a new framework for multi-agent AI systems
Current artificial intelligence is limited in its scope and is far from human-level intelligence. One of the key components missing is learning to pursue multiple goals, ones that are dynamic, changing, and that depend on knowledge acquired from previous tasks.
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A new kind of open-ended environment for a new kind of artificial intelligence
If we are to develop artificial intelligence (AI) capable of learning as humans do, it needs to be tested in complex environments just like humans are.
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Amazon Web Services (AWS) experiment management script
March 15, 2021
Research
GoodAI's Senior Research Scientist, Jaroslav Vítků has authored a script that can help users script to offload an experiment to cloud compute or monitor the remote status of experiments.
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AI and game testing for European extended reality project (iv4XR)
February 18, 2021
Research
GoodAI has teamed up with 7 other academic and industrial institutions across Europe for the "Intelligent Verification for Extended Reality" (iv4XR) project that was awarded over €3.5 million by the EU Horizon 2020.
Read moreCase study preview: robotic legs in space
February 15, 2021
Research
VeriDream members GoodAI and ISIR (Sorbonne University) have been working on a case study that applies quality diversity algorithms to control robotic legs.
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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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