GAM takes aim at “context rot”: A dual-agent memory architecture that outperforms long-context LLMs

Researchers have unveiled General Agentic Memory (GAM), a new system designed to keep AI agents from forgetting what matters.
Semiconductor Engineering

Rethinking The Role Of CPUs In AI: A Practical RAG Implementation

How CPU-based embedding, unified memory, and local retrieval workflows come together to enable responsive, private RAG ...
dbta

Meeting High Performance Requirements with Memory-First Database Architecture

With data volumes spiraling out of control, companies are searching for less expensive and more efficient storage technologies. The most common approaches for storing data have been with disk and ...
techtimes

Apple’s Usage of Apple Silicon Integrated Memory Explained: Here’s What You Need To Know

Apple has long been known to have its own ecosystem, which connects and integrates between its different devices. While this remains difficult for some people, a recent report explains why the company ...

Local AI Models That Run Perfectly on Apple’s $599 M4 Mac Mini?

Apple’s base M4 desktop pairs a 10-core CPU and 16 GB memory. But what AI models can it run successfully and which ones ...
EDN

Advanced switch memory architectures improve network performance

The impact of memory architecture is a much researched, but little publicized element to the performance of today's network switches.Many academic papers have been written about the advantages of ...
TechRepublic

Cache-Only Memory Architecture

A Cache-Only Memory Architecture design (COMA) may be a sort of Cache-Coherent Non-Uniform Memory Access (CC- NUMA) design. not like in a very typical CC-NUMA design, in a COMA, each shared-memory ...