SLAC topics

AI and machine learning RSS feed

Artificial intelligence (AI) simply means intelligence in machines, in contrast to natural intelligence found in humans and other natural organisms. Machine learning involves systems that automatically learn from the data they analyze and the results they obtain to improve their ability to work with that data in the future.

DOE explains... artificial intelligence

Artistic representation of a neural network superimposed on an electron beam profile

News Feature

In the coming weeks, Symmetry will explore the ways scientists are using artificial intelligence to advance particle physics and astrophysics—in a series of articles...

Conceptual illustration of wool being spun into refracted light
News Feature

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

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

The software tool sorts through messy data to reveal what’s really going on with solar panels on cloudy and sunny days.

This is a graphic representation of solar power system data. The data is processed by algorithms, which turn the data into specific power loss causes.
News Feature

The research reveals the potential for machine learning in understanding the complex behavior of quantum materials.

machine learning
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Analyzing X-ray movies with computer vision reveals how nanoparticles in a lithium-ion battery electrode work.

Illustration of battery electrode nanoparticles being imaged by X-rays
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The algorithm pairs machine-learning techniques with classical beam physics equations to avoid massive data crunching.

This is a representation of a particle beam traveling through an accelerator.
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A machine learning algorithm automatically extracts information to speed up – and extend – the study of materials with X-ray pulse pairs.

A pattern of red and yellow dots surrounded by a ring of blue dots on a black background.
News Feature

An extension of the Stanford Research Computing Facility will host several data centers to handle the unprecedented data streams that will be produced by...

SRCF-II
News Brief

Knowing a magnet’s past will allow scientists to customize particle beams more precisely in the future. As accelerators stretch for higher levels of performance...

A magnet on a test stand inside SLAC National Accelerator Laboratory.
News Feature

SLAC’s Matt Garrett and Susan Simpkins talk about tech transfer that brings innovations from the national lab to the people, including advances for medical...

Tech Transfer
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Teaching machine learning the basics of accelerator physics is particularly useful in situations where actual data don’t exist.

SSRL
News Feature

She toured the lab’s powerful X-ray laser, looked at the construction of the world’s largest digital camera, and discussed climate research, industries of the...

Secretary Granholm virtual visit