New model frames human reinforcement learning in the context of memory and habits

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

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 ...
Science Daily

The brain’s sweet spot: How criticality could unlock learning, memory—and prevent Alzheimer’s

Our brains may work best when teetering on the edge of chaos. A new theory suggests that criticality a sweet spot between order and randomness is the secret to learning, memory, and adaptability. When ...