Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

AI is searching particle colliders for the unexpected ...

It’s not just about making things work anymore; it’s about making them work and being kind to the planet. In 2026, the medical device world is really starting to pay attention to sustainability. This ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

AI is rapidly transforming hospital medicine by supporting clinical workflows, enhancing decision-making, and reducing ...

ALBERT, deliberately immerses automation and robotics students in real chemistry labs so they understand day-to-day experimental work ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of ...

As ad platforms turn into black boxes, signal optimization offers a way to predict downstream value early and improve CAC and ROAS.

Perel, a renowned psychotherapist, doesn’t really think society can — or should — fall in love with a machine.

I suppose one day the Shop-Vac Corporation might install a TV screen inside a dust collector, but until then we're going to ...

This article is the first of a three-part series on artificial intelligence and the changing nature of evidence in New York ...