SysMain' was draining my computer's background memory. Here's how to find the biggest culprits behind your sluggish PC.

Gary Tan reveals how to leverage the harness in order to achieve 10-100x productivity gains with the same AI model.

Abstract: Despite the energy efficiency of memory-centric deep neural network (DNN) computations, the nonlinearities inherent in existing processing-in-memory (PIM) architectures cause severe accuracy ...

Microsoft has a bad habit of rolling out Windows 11 updates that prove to be problematic, either beset with bugs or unable to install properly. The latter issue was the case with the March ...

AI is sending memory prices surging, and Micron is struggling to keep up with demand. Micron's earnings have soared over the past year, and analysts expect more growth through next year. Investors are ...

Active exploits, nation-state campaigns, fresh arrests, and critical CVEs — this week's cybersecurity recap has it all.

2025 model year Gas-only models are reportedly sold out across all states, while PHEV versions are increasingly difficult to buy. 2025 RAV4s sold out after 2026 model announcement; dealerships face ...

Google said this week that its research on a new compression method could reduce the amount of memory required to run large language models by six times. SK Hynix, Samsung and Micron shares fell as ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

SK Group chairman Choi Tae-won reckons the global memory shortage will drag on until 2030 as the AI boom keeps demand ahead of supply. Speaking to the gathered throngs at Nvidia’s GTC 2026 in San Jose ...