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.
Read moreIn 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.
Read moreGame 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.
Read moreDr. 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.
Read moreResearchers 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.
Read moreNew 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.
Read moreSelf-improving artificial intelligence that can learn new tasks from small amounts of data is a crucial step for the advancement of strong artificial intelligence.
Read moreCurrent 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.
Read moreIf 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.
Read moreGoodAI CEO Marek Rosa has been experimenting with the evolutionary dynamics of sexual selection. In this blog, he outlines some of his findings.
Read moreThe 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.
Read moreAre you keen on making a meaningful impact? Interested in joining the GoodAI team?