Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

For over a decade, confusion over the size of the proton has held scientists back. Disagreeing measurements of the subatomic particle’s radius meant that scientists couldn’t test one of their key ...

Abstract: Test-time adaptation (TTA) seeks to tackle potential distribution shifts between training and testing data by adapting a given model w.r.t. any testing sample. This task is particularly ...

The role of the tester has never been static! From the personal touch of verification to automated regressions, Quality Assurance (QA), and now Quality Engineering, software testing has evolved ...

WASHINGTON — A new report from the National Academies of Sciences, Engineering, and Medicine examines how the U.S. Department of Energy could use foundation models for scientific research, and finds ...

A new study reveals that pathology AI models for cancer diagnosis perform unequally across demographic groups. The researchers identified three explanations for the bias and developed a tool that ...

A female crash-test dummy to replace an outdated model largely based on male proportions would improve safety for women, who face higher fatality and injury risks on the road, officials said. By Adeel ...

Google’s new Gemini 3 has become the first major AI model to get a perfect score on a new self-harm safety benchmark, the CARE test. That milestone comes as hundreds of millions of people have come to ...

AI is everywhere in conversations about software testing and quality engineering. Expectations are high, but many teams still struggle to apply AI in meaningful and secure ways. This is often due to ...