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Conceptual illustration of random objects with a gorilla in the center

Physics beyond the imaginable

09/03/24

Sarah Charley

The CMS experiment is developing a new type of trigger that looks for anomalies.

Illustration of Raphael Granier De Cassagnac

05/28/24

The physicist gamer

Raphael Granier De Cassagnac recently put his scientific skills to use creating a physics-themed video game.

The shipping crate holding the LSST Camera is transported the final 35 kilometers (21.7 miles) up the winding dirt road to the observatory on the summit of Cerro Pachón.

05/22/24

LSST Camera arrives at Rubin Observatory in Chile

The largest camera ever built for astrophysics has completed the long journey from SLAC National Accelerator Laboratory in California to the summit of Cerro Pachón in Chile.

Illustration: A student scientist embroiders their graduation cap with atom

05/07/24

Tomorrow’s physics test: machine learning

Machine learning is becoming an essential part of a physicist’s toolkit. How should new students learn to use it?

Illustration of a scientist cutting a piece of bias tape with scissors

05/06/24

A physicists’ guide to the ethics of artificial intelligence

Physics may seem like its own world, but different sectors using machine learning are all part of the same universe.

Illustration of a scientist pinpointing part of a galaxy through the lens of a magnifying glass

05/01/24

AI for control rooms

Scientists inside and outside of particle physics and astrophysics are leaning on AI for assistance with complex tasks.

Illustration of someone embroidering a particle collision

04/30/24

Machine learning and theory

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries?

Illustration of a scientist knitting an image of a galaxy

04/25/24

Machine learning and experiment

For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater complexity.

Conceptual illustration of a triangle loom

04/23/24

A collaborative ecosystem

Physicists work with computer scientists in academia and industry to advance machine learning.

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