Researchers at Carnegie Mellon University (CMU)’s School of Computer Science in Pittsburgh are working on a project aiming to make artificial intelligence (AI) more resourceful and curious.
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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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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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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.
Read moreGoodAI 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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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.
Read moreAre you keen on making a meaningful impact? Interested in joining the GoodAI team?
