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

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

A cybersecurity researcher poisoned an open weight AI model for under $100 in about an hour, exposing how easily these increasingly popular systems can be secretly compromised without detection.

Telegram Serverless lets developers deploy bot backends on Telegram's own infrastructure with a single tgcloud command, but ...

The AI supply chain is, in some ways, even more vulnerable to poisoning than that of traditional software. Katie Paxton-Fear, ...

The attack vector is available for rent at scale, and evades AV and EDR, leaving YARA analysis as the best detection option.

Microsoft Patch Tuesday July 2026 delivers 622 CVEs, the largest release in company history, with two exploited zero-days in ...

As demand for data centers accelerates alongside the rise of AI, industry leaders are grappling with how to scale ...

Favour investments in infrastructure and applications rather than models and brand name labs to avoid being the greater fool ...

Should we fear what we have created, or can AI be a trusted partner in the workplace? Find out what the best & brightest of ...

Kubernetes was built for quick, stateless web requests, but AI agents need a whole new kind of fast, stateful infrastructure ...

Modern JavaScript teams do not just need more vulnerability reports. They need dependency decisions that developers can ...