A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. You would be hard-pressed to say that one or the other is ...
By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
CARE-ACE supports autonomy through bounded agentic reasoning, in which diagnostic, prognostic, planning, and risk-assessment ...
NTT Research and NTT R&D co-authored papers explore LLMs’ uncertain and open-ended nature, the “emergence” phenomenon, In-Context Learning and more Collectively, this research breaks new ground in ...
Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
Brown University researchers found that humans and AI integrate two types of learning – fast, flexible learning and slower, incremental learning – in surprisingly similar ways. The study revealed ...
Researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these ...
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