In The News

Tuning in to invisible waves on the JET tokamak
Tuning in to invisible waves on the JET tokamak

Research scientist Alex Tinguely oversees an antenna diagnostic used on the U.K.’s record-breaking fusion experiment.

Deep-learning technique predicts clinical treatment outcomes
Deep-learning technique predicts clinical treatment outcomes

A new methodology simulates counterfactual, time-varying, and dynamic treatment strategies, allowing doctors to choose the best course of action.

A new, inexpensive catalyst speeds the production of oxygen from water
A new, inexpensive catalyst speeds the production of oxygen from water

The material could replace rare metals and lead to more economical production of carbon-neutral fuels.

Designing the built environment through a service lens
Designing the built environment through a service lens

Senior Carene Umubyeyi seeks to advance sustainable structural design in her home country of Rwanda and beyond.

Q&A: What makes a bestselling textbook?
Q&A: What makes a bestselling textbook?

The millionth sale of “Introduction to Algorithms” prompts Charles Leiserson and Tom Corman look back at the creation and legacy of the foundational textbook, now in its fourth edition.

Robotic cubes shapeshift in outer space
Robotic cubes shapeshift in outer space

Self-reconfiguring ElectroVoxels use embedded electromagnets to test applications for space exploration.

Mapping the depths of plasma physics
Mapping the depths of plasma physics

In his new lab, where he will study how plasma behaves in the universe, assistant professor of nuclear science and engineering Jack Hare draws inspiration from spelunking.

A security technique to fool would-be cyber attackers
A security technique to fool would-be cyber attackers

Researchers demonstrate a method that safeguards a computer program’s secret information while enabling faster computation.

A security technique to fool would-be cyber attackers
A security technique to fool would-be cyber attackers

Researchers demonstrate a method that safeguards a computer program’s secret information while enabling faster computation.

Can machine-learning models overcome biased datasets?
Can machine-learning models overcome biased datasets?

A model’s ability to generalize is influenced by both the diversity of the data and the way the model is trained, researchers report.

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