Such courses promoting data fluency and computational modeling instruction include “Understanding the World Through Data,” “Reasoning through Modeling and Simulation of Data,” and “Machine Learning ...

Simulating data in particle physics is expensive and not perfectly accurate. To get around this, researchers are now exploring the use of foundation models—large AI models trained in a general, ...

The sPHENIX particle detector, the newest experiment at the Relativistic Heavy Ion Collider (RHIC) at the U.S. Department of ...

Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...

Zanibbi participated in a panel discussion about processing the data of theoretical physics and discussed recent work in RIT’s Document and Pattern Recognition Lab, where he explores effective and ...

Richard Zanibbi, professor in the Department of Computer Science, presented at the AI + Theoretical Physics Symposium at the Perimeter Institute for Theoretical Physics in Waterloo, Ontario. The ...

WILLIAMSBURG — William & Mary’s first new school in 50 years — the School of Computing, Data Sciences & Physics — launches this summer, bringing together four of the university’s units — applied ...

Firing particles at each other at 99.99% of the speed of light, the LHC is back in the race to discover new physics. When you purchase through links on our site, we may earn an affiliate ...

The school combines four units: applied science, computer science, data science and physics. The school plans to make the switch in fall 2025, and they are actively searching for a dean.

The physics data was not wrong, but it also did not tell the whole story of the ways that dance techniques manipulate and conceal actual effort to create the illusion of effortlessness. In teaching ...