As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into ...

Millions of AI agents are entering production systems. Almost none can share operational experience. This is why that ...

The key in agentic AI is establishing clear "expertise directories" and communication protocols using transactive memory ...

A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing a new account of how and why replay occurs.

Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...

Shared memory is a state where every AI agent in a system draws from the same evolving understanding of a task, issue, or ...

Building Generative AI models depends heavily on how fast models can reach their data. Memory bandwidth, total capacity, and ...

Abstract: Memory disaggregation has become a research trend in data centers. Existing studies fall into two paths: Network-based logical memory disaggregation (LMD) and Compute Express Link ...

A new proposal from the Faculty Executive Committee — Brown’s central faculty governance body — is looking to reshape how faculty are involved in University-wide decisions. The committee ...

Scientists have uncovered a stepwise system that guides how the brain sorts and stabilizes lasting memories. By tracking brain activity during virtual reality learning tasks, researchers identified ...

A Korean research team, raising the question “Which OLED light color can actually improve memory and pathological markers in Alzheimer’s patients?”, has identified the most effective OLED color ...