Physics may seem like its own world, but different sectors using machine learning are all part of the same universe. In 2017, ...

For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of ...

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

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? Theoretical ...

Physicists work with computer scientists in academia and industry to advance machine learning. When physicists talk about machine learning, it’s not uncommon to hear them refer to old techniques used ...

Symmetry receives funding through the US Department of Energy.

Symmetry receives funding through the US Department of Energy.

The US physics community dreams of building a muon collider. In the spring of 2022, Karri DiPetrillo was gearing up for the final step of the Snowmass particle physics community planning process. It ...

Don’t know your convolutional neural networks from your boosted decision trees? Symmetry is here to help. It’s time for some deep learning. Check out this list to pick up some new terminology—and ...

With just its first year of data, DESI has surpassed all previous 3D spectroscopic maps combined and confirmed the basics of our best model of the universe. With 5,000 tiny robots in a mountaintop ...