Breaking through AI’s memory wall with token warehousing

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

DeepSeek’s Engram Conditional Memory Shows How to Reduce AI Compute Waste

DeepSeek's new Engram AI model separates recall from reasoning with hash-based memory in RAM, easing GPU pressure so teams ...

Transactive Memory May Be The Key To Unlocking Value With Agentic AI

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

Can Memory Training Improve Outcomes and Function?

Challenging the brain with new learning, like a new language, may build cognitive reserve and memory confidence.
Nanowerk

Stacked memristor arrays compute Euclidean distance in memory to accelerate self-organizing maps

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...
News-Medical.Net on MSN

MIT researchers map dynamic fuzzy coat surrounding tau protein fibrils

One of the hallmarks of Alzheimer's disease is the clumping of proteins called Tau, which form tangled fibrils in the brain.
eLife

A unifying account of replay as context-driven memory reactivation

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.

How DePIN Provides the Hardware Layer for Next-Gen AI

How does DePIN power next-gen AI? Learn how decentralized physical infrastructure provides the GPUs, storage, and edge ...
Frontiers

Predicting Neural Activity: Understanding Brain Structure and Dynamics through Generative Modeling and Causal Analysis

Understanding how the brain anticipates future states and transmits or reconstructs information remains a central challenge in neuroscience. This Research ...