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 ...
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.
Tech Xplore

New memristor training method slashes AI energy use by six orders of magnitude

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
IEEE

3-D Vertical Resistive Switching Random Access Memory (3D-VRRAM) With Multilevel Programming for High-Density, Energy-Efficient In-Memory Computing

Abstract: Resistive random access memory (RRAM) devices offer a broad range of attractive properties for in-memory computing (IMC) applications, such as nonvolatile storage, low read current, and high ...
theregister

Claude is his copilot: Rust veteran designs new Rue programming language with help from AI bot

Naming a new programming language "Rue" sounds like an acknowledgment of doubt about the project's prospects, if you take "Rue" to mean "regret." "Rue came about as a name because I did Ruby, and then ...
IEEE

A 22 nm Floating-Point ReRAM Compute-in-Memory Macro Using Residue-Shared ADC for AI Edge Device

Abstract: Artificial intelligence (AI) edge devices increasingly require the enhanced accuracy of floating-point (FP) multiply-and-accumulate (MAC) operations as well as nonvolatile on-chip memory to ...