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GoodAI Research Roadmap 2021/2022

June 04, 2021 ResearchTechnical blogs

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

April 21, 2021 ResearchTechnical blogs

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 (BOML) for continual & gradual learning

April 19, 2021 ResearchTechnical blogs

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

April 14, 2021 ResearchTechnical blogs

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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