Microsoft unveils Memora to tackle AI agents’ memory problem

The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...
abp LIVE

Watching Too Many Reels? Here's What It's Doing To Young Brains

German study reveals short videos alter young brain functions. Heavy use linked to increased inattention, impulsivity, weaker memory. Fast content, infinite scrolling, algorithms drive addictive ...
The Motley Fool

AMD Just Acquired MEXT to Crack the Memory Optimization Problem. Should Micron and Sandisk Investors Be Nervous?

The technology uses predictive algorithms to identify frequently accessed data and move it between flash storage and high-speed memory in real time, reducing the amount of expensive DRAM a data center ...

New agentic memory framework uses 118K tokens per query. LangMem burns through 3.26M.

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.
Psychology Today

Are We Still Friends? The Importance of Memory Updating

Knowing the status of a relationship, as well as the current state of the world, depends on the ability to track changes.

Special protein in the brain's cleansing system may contribute to loss of brain function in Alzheimer's

Alzheimer's disease is a progressive and permanent loss of nerve cells in the brain. The breakdown causes memory loss, ...
Tech Xplore

Ferroelectric memory enables one chip to sample randomness and compute for generative AI

For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...
IEEE

Re-Meltrix: A Reconfigurable Processing-in-Memory Architecture Based on RRAM and Function Synthesis

Abstract: The reconfigurable processing-in-memory (PIM) architecture has garnered significant attention in recent years due to its versatility and ability to overcome storage limitations. However, it ...
Nature

Algorithm–hardware co-design of neuromorphic networks with dual memory pathways

Spiking neural networks excel at event-driven sensing. Yet, maintaining task-relevant context over long timescales both algorithmically and in hardware, while respecting both tight energy and memory ...
Nature

A novel approach for forecasting algal bloom: long short-term memory artificial neural network with exponential smoothing feedback optimized by the arithmetic mean algorithm

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
New York Post

Alzheimer’s patient gets back speech, bladder control and memory in groundbreaking drug trial

After a decade of cognitive and functional decline, an 80-year-old patient with advanced Alzheimer’s disease showed remarkable signs of progress. All it took was a single dose of an experimental ...
IEEE

Distributed Safety-Critical Optimal Flocking Control Algorithm With Feasibility Enhancement of High-Order Control Barrier Function

Abstract: This article proposes a distributed safety-critical optimal flocking control algorithm for the multiagent system. In general, safety (i.e., collision avoidance) could be guaranteed by the ...