Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

Hospital stay or home care? AI helps tailor myeloma stem cell treatment safely

Multiple myeloma is a cancer in which plasma cells, which normally produce antibodies, multiply uncontrollably in the bone marrow. There is currently no cure. However, various therapies can stabilize ...
TechRadar

Valve's Steam Machine gets its first support update ahead of launch via SteamOS preview 3.8.0 — and it includes one major fix I've been waiting for

Steam Machine might arrive sooner than we thought... When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Valve has released SteamOS 3.8.0 preview for ...
Tech Xplore on MSN

Compression technique makes AI models leaner and faster while they're still learning

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in which the probabilities of tokens occurring in a specific order is ...

Matcha model makes drug candidate screening more than 30 times faster

Ligand Pro, founded by Skoltech professors and a Skoltech Ph.D. student, has presented Matcha, an AI-powered molecular docking model that performs virtual drug screening 30 times faster than the large ...
Virtualization Review

Running AI Natively on Windows 11 Using an eGPU

Tom Fenton reports running Ollama on a Windows 11 laptop with an older eGPU (NVIDIA Quadro P2200) connected via Thunderbolt dramatically outperforms both CPU-only native Windows and VM-based ...
PC Magazine

Still on Windows 10? Do This Now to Reduce Your Risk of Getting Hacked

When the IBM PC was new, I served as the president of the San Francisco PC User Group for three years. That’s how I met PCMag’s editorial team, who brought me on board in 1986. In the years since that ...