Vinci Ships Production-Grade Thermo-Mechanical Simulation at Manufacturing Scale

Vinci’s physics AI foundation model delivers deterministic, solver-accurate warpage analysis across extreme scales—already in production use at leadin ...
WISN 12 News on MSN

FDA proposes new system for approving customized drugs and therapies for rare diseases

Federal health officials on Monday laid out a proposal to spur development of customized treatments for patients with hard-to ...
Morning Overview on MSN

Giant star’s bizarre changes may be warning sign of total destruction

Astronomers tracking the giant star WOH G64, located in the Large Magellanic Cloud roughly 160,000 light-years from Earth, ...
Family Destinations Guide

This Massive Flea Market In North Carolina Has Bargains So Good, You’ll Check Prices Twice

At Webb Road Flea Market in Salisbury, North Carolina, you’ll be pulling out your phone calculator so often you might as well ...
InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
Psychology TodayOpinion

We’re Measuring AI on the Wrong Ruler

AI computation does none of this. It generates responses without any biography. It doesn't carry yesterday into tomorrow in ...