Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

A new website called Moltbook has become the talk of Silicon Valley and a Rorschach test for belief in the state of ...

This techno-spy thriller quietly predicted our current A.I. predicament and anxieties, making it a must-watch show for sci-fi fans.

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Real-world evidence (RWE) empowers payers and providers to make more informed, cost-effective treatment. Read more here: ...

Accenture is currently recruiting for the position of Data Science Consultant specializing in AI and Hi-Tech at their ...

AI is ultimately a story about selfhood—and the answer will not be found in the machine, but in what mindful awareness allows us to recognize when we see ourselves reflected there.

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Network traffic monitoring has evolved from a nice-to-have administrative tool into an essential cybersecurity defense mechanism.

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Understanding how threat hunting differs from reactive security provides a deeper understanding of the role, while hinting at how it will evolve in the future.