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Machine learning and theory

04/30/24

Madeleine O’Keefe

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 three physics-related tarot cards, labeled Proton-Proton, Muon and Plasma-Wakefield

03/19/24

A trio of paths toward the discovery machine of the future

An advisory committee recommends the US work to advance three key areas of emerging accelerator technology.

Maxim Marchevsky (left) and Soren Prestemon discussing an experimental setup to test the sensitivity of a temperature monitoring system for a high temperature superconducting magnet.

03/11/24

Preventing magnet meltdowns before they can start

Berkeley Lab researchers are developing an approach to avoid sudden, potentially destructive energy releases in a new generation of superconducting magnets.

Illustration of a woman wearing headphones

03/05/24

Ears around the world are on The Coldest Case

Particle Mysteries, a podcast released by the Interactions Collaboration, illuminates the international search for dark matter through conversations with its inquirers.

02/27/24

From the LHC to the search for exoplanets

A scientist tried using machine-learning techniques from particle physics to analyze data from astronomy—and in the process discovered a new exoplanet.

Wan-Lin Hu is seen talking with talks with accelerator systems operator Kabir Lubana in the lab’s main Accelerator Control Room.

02/20/24

A day in the life of a human-in-the-loop engineer

Wan-Lin Hu’s job is to improve the way people and artificial intelligence collaborate to run SLAC’s complex machines.

02/13/24

LIGO comes to India

In India, scientists are building a new LIGO detector, enhancing the capabilities of the observatory that reported the first observation of gravitational waves.

02/06/24

From life experience to research experience

A former retail worker finds the confidence to pursue a career in STEM thanks to an internship program designed for students at small colleges.

Construction workers created two colossal caverns for the gigantic particle detector modules of the Deep Underground Neutrino Experiment

02/01/24

Excavation of colossal caverns for Fermilab’s DUNE experiment completed

The excavation of the caverns that will house the gigantic particle detectors of the Deep Underground Neutrino Experiment in Lead, South Dakota, is complete.

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