A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...

Princeton Plasma Physics Laboratory plans to launch a new AI project, called STELLAR-AI, to lower costs and heighten efficiency for experiments. The program is anticipated to launch in 2027, and is ...

Explore Python Physics Lesson 19 and learn how the Monte Carlo method can approximate Pi with simple yet powerful simulations. In this lesson, we break down the Monte Carlo technique step by step, ...

A team of physicists from the University of Ottawa have developed a new theoretical model that shines new light on how ...

Explore the complexities of awarding scientific prizes when AI contributes to discoveries, challenging traditional notions of ...

Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.

Can you design a mechanism that will trace out the shape of a heart? How about the shape of a moon, or a star? Mechanism ...

Computer scientists Maria Apostolaki, Benjamin Eysenbach, and Yasaman Ghasempour; chemists William Jacobs and Erin Stache; physicist Isobel Ojalvo; and mathematician Bartolomeo Stellato are members of ...

According to Valuates Reports, The global market for AI in Biotechnology was valued at USD 1033 Million in the year 2024 and ...

Scientists have long seen a puzzling pattern in tokamaks, the doughnut-shaped machines that could one day reliably generate electricity from fusing atoms. When plasma particles escape the core of the ...

Eight University of Chicago scholars have earned Sloan Research Fellowships, which recognize early-career scholars’ potential to make substantial contributions to their fields.

Two independent lines of evidence from the world’s most powerful particle experiments are converging on the same ...