AI models capable of running efficiently on edge devices need to be reduced in size and compute considerably, while maintaining similar reliable results. This process, often referred to as model ...

Richard Addante, who has spent more than a decade researching episodic memory—the cognitive process that involves processing and retrieving long-term memory—has identified a new kind of human ...

UB researchers are taking inspiration from the human brain to develop computing architecture that can support the growing ...

This new finding provides a novel perspective on memory consolidation, which is a process that transforms short-term memories into long-term ones, in AI systems.

An interdisciplinary team consisting of researchers has revealed a striking similarity between the memory processing of artificial intelligence (AI) models and the hippocampus of the human brain ...

Explore strategies for optimizing AI memory and context usage to improve model interactions. Learn about the role of RAG in boosting AI model ...

A new machine learning model shows that star-shaped brain cells may be responsible for the brain's memory capacity, and someday, it could inspire advances in AI and Alzheimer's research.

Instead of being a passive memory process, as suggested by some previous works, hippocampal replay could actively support the formation of flexible memories that can be later broken apart and used ...

While processor speeds and memory storage capacities have surged in recent decades, overall computer performance remains constrained by data transfers, where the CPU must retrieve and process data ...

Deficits in processing speed negatively affects memory in individuals with acquired brain injury, strongly suggesting lack of memory recall is associated with poor processing and information ...

Richard Addante, who has spent more than a decade researching episodic memory—the cognitive process that involves processing and retrieving long-term memory—has identified a new kind of human ...