How a team at UC Berkeley devised a multi-sensor smell system and combined it with machine learning to create a more ...

Searching for flood victims is a type of wilderness search and rescue that presents unique challenges. The goal for machine learning scientists is to rank which images have signs ...

LiteRT.js runs machine learning models locally with CPU, GPU and emerging NPU acceleration, potentially reducing server infrastructure, inference charges and data movement.

Syntiant Corp., a leading provider of full-stack, low-power physical AI solutions comprising sensors, processors and ML models, today announced the expansion of its ongoing collaboration with PRADCO ...

Elorian, founded by the ex-Google Brain and DeepMind researcher Andrew Dai, believes that learning from, and reasoning about, images is fundamental to rapid intelligence gains. For almost a decade, AI ...

New research shows AI can cleanly cut people out of video without expensive human labeling, improving quality and stability ...

Google LiteRT.js, released July 9, 2026, brings native browser AI inference to web developers by compiling Google's proven ...

Solar flare SDO archive images previously lost to detector saturation can now be recovered using a newly validated technique, ...

None of this use of AI arrived as science fiction. Adoption was uneven, frequently overpromised, and driven by the belief ...

ACRouter, a new open-source AI router, learns from execution feedback to pick the best coding model per task, cutting costs 2 ...

The key challenge in our classrooms is not ability or aptitude, but exposure. The present AI curriculum provides that ...