When AI prioritizes uniform productivity, it excludes. When it accounts for human variability, it unlocks overlooked talent.

Measuring conditions in volatile clouds of superheated gases known as plasmas is central to pursuing greater scientific ...

EXCAVATE BODY, founded by Jacqui Hinkson, is a dance company that explores the space between effortless movement and visible ...

Denis Villeneuve's 'Arrival' has appreciated and become the best Sci-Fi Thriller of the 2010s.

A new optical device allows researchers to generate and switch between two stable, donut-shaped light patterns called ...

From subversive horrors like Barbarian to now-iconic auteur-driven efforts like Memento, these are the most rewatchable ...

Planar micro-supercapacitors (P-MSCs), by jointly optimizing electrode intrinsic properties and interfacial structural design ...

At first, this felt harmless. Sensible, even. If technology could tell me something useful about my sleep, why not listen? But over time, I noticed a shift. The question quietly changed from “How do I ...

Part two of this three-part series reveals control technology concepts to reduce process variability and increase profitability ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

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 ...