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 ...

Using bat speed, swing shape to find potential MLB breakout stars

How the swing metrics Bat Speed, Swing Tilt and Intercept Point can help identify potential breakout hitters for the 2026 ...
InfoWorld

WinterTC: Write once, run anywhere (for real this time)

The unified JavaScript runtime standard is an idea whose time has come. Here’s an inside look at the movement for server-side JavaScript interoperability.
PCMag

Gemini Can Now Generate 30-Second Songs From Text, Images with Lyria 3

You don't have to provide the lyrics. Just mention the mood and tempo or upload an image for reference, and let Lyria 3 do the rest.