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

Overview:  Compares the leading computer vision APIs, multimodal AI models, and open-source vision frameworks available in ...

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.

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

Artificial Intelligence (AI) is rapidly transforming the mobile app industry, and iOS app development is no exception. A ...

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 ...

A University of Malta-led project is using artificial intelligence to help astronomers analyse vast numbers of radio ...

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

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