The brain's cerebellum doesn't waste energy analyzing every moment. Instead, it constantly monitors the world for the ...

While machine learning has improved detection, most models fail when confronted with attack scenarios they have never seen before, because they learn data patterns rather than the underlying physics ...

Google's latest AI announcement signals a future where agents use websites on behalf of people. Here's what to watch. Google unveiled Gemini Intelligence at the Android Show on May 12, alongside a new ...

When people think about geological faults, they usually think about earthquakes. Yet faults do not move only during ...

We’re just beginning to decode this faint optical “signature of life” and what it could reveal about health, disease, and the ...

Researchers are decoding how signals move between body and brain, with implications for how we understand and treat ...

The new open-source project could serve as the basis for a future of apps with features as complex as Slack, Discord, or Google Docs—but with added protection against surveillance. So one group of ...

The brain constantly blends split-second reactions with slower, more thoughtful processing, and new research shows how it pulls this off. Scientists discovered that brain regions operate on different ...

Quantum computers get a lot of attention, even though they are not ready for prime time, but quantum sensors are already doing useful work. These sensors measure fields, forces and motion so small ...

Earlier this year, Donncha Ó Cearbhaill, a security researcher who investigates spyware attacks, found himself in an unusual position. For once, he became the target of hackers. “Dear User, this is ...

Abstract: Deep Neural Networks (DNNs) are highly vulnerable to adversarial examples. Current adversarial example generation techniques typically rely on ℓ p-norm distance or SSIM metrics to ensure ...