XDA Developers on MSN

I turned my home server into an AI appliance, and this is the stack that actually stuck

My reliable, low-friction self-hosted AI productivity setup.
IEEE

A Hierarchical-Hybrid Floating-Point Compute-in-Memory Macro Using FP-DAC and FP-ADC for Edge-AI Devices

Abstract: The floating-point (FP) format offers superior precision compared to its integer counterpart for multiply-and-accumulate (MAC) computations. With the rapid progress of artificial ...
Bloomberg L.P.

Meeting Surging Demand for AI Memory Chips Has a Climate Cost

The rush to boost production of memory chips to meet fast accelerating demand from artificial intelligence will add to the semiconductor sector’s climate footprint and risks lifting costs of managing ...
GitHub

Semantic Memory MCP Server

RWIF turns semantic memory into compact, portable files that can stay on disk instead of forcing a heavyweight vector database to stay resident in RAM or VRAM. This repository exposes that disk-native ...
Investing

Micron begins volume shipments of HBM4 memory for Nvidia AI chips

SAN JOSE, Calif. - Micron Technology Inc. (NASDAQ:MU) announced it has started volume shipments of its HBM4 36GB 12H memory in the first quarter of calendar year 2026, designed for Nvidia’s Vera Rubin ...
IEEE

Error-Corrected RRAM-Based Compute-in-Memory Accelerator Using Voltage-Clamp Current Mirror

Abstract: Computational reliability is a promising research direction in computing-in-memory (CIM), particularly in non-volatile memory (NVM) technologies such as resistive random-access memory (RRAM) ...