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 ...

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 ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

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

If you’re an HR professional looking to expand your career and capabilities, take a look at the best HR books and recommendations for 2026.

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 ...

Working at the cutting edge of artificial intelligence (AI), Kiowa Scott-Hurley helps Defence tackle complex technical ...

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 ...