GoodAI Research Roadmap 2021/2022
In 2021/22 GoodAI will focus on four core research areas: learning to learn, lifelong (gradual) learning, open-endedness, and generalization / extrapolation of meta-learned algorithms.
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Improving parallelization in Space Engineers
May 18, 2021
Technical blogs
Game developers at Keen Software House (sister company of GoodAI) have used Manual Badger architecture to evaluate parallelization techniques that would benefit the future development of Space Engineers.
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Building a research culture where we share questions and difficulties, not just answers
May 13, 2021
Research
Is sharing where we’re stuck more important to furthering research than sharing the answers we’ve found?
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Using open-ended algorithms to generate video game content in Space Engineers
Dr. Kai Arulkumaran of Araya has received a grant from GoodAI in order to apply open-ended algorithms to generating video game content (such as spaceships and space stations) in the sandbox game Space Engineers.
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GoodAI Contributes to European Commission Report on Humans and Society in the Age of AI
April 28, 2021
AI Policy and Society
GoodAI recently contributed to The European Commission (EC) report on Humans and Societies in the Age of Artificial Intelligence (AI).
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Solving generalization and making artificial intelligence curious
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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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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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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