Bayesian Online Meta-Learning 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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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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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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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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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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Medieval Engineers, a game created by GoodAI's sister company, Keen Software House, has recently featured in the Hollywood Movie, The War with Grandpa.
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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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The VeriDream consortium has published some of the resources being used in their research on the AI4EU platform.
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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 moreVeriDream 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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Last week Marek Rosa took part in a panel discussion entitled AI in the Czech Republic. Better than you think! Watch the video here.
Read moreAre you keen on making a meaningful impact? Interested in joining the GoodAI team?