I N 2025 A GROUP of theoretical physicists studying the behaviour of fundamental particles called gluons hit a brick wall in their calculations. In search of a fresh perspective, ...

The magnum opus of particle physics is far from complete, requiring physicists to devise many alternatives—some weirder than ...

My academic path studying physics at Tsinghua University began in 1981 where I completed a Bachelor’s and Master’s before earning a PhD in 1992. I then did a postdoc at the Central Iron & Steel ...

To stay up to date and work forward in their fields, scientists must have at their fingertips and in their minds thousands of published studies. Large language models (LLMs) show promise as a tool for ...

Referral software companies are another example of businesses that are unlikely to be heavily disrupted by AI. Their products usually function as execution tools for their customers rather than ...

A State College-area high school student will return home from spring break with a major research prize under his belt.

The parity-identification problem fits naturally into this landscape. Parity is a global property, insensitive to most local details. In this respect, it resembles many other quantities studied in ...

OpenAI co-founder Greg Brockman discusses the transition to fully robotic wet labs and massive-scale automated experiments with venture capitalist Vinod Khosla.

At some point, most people have found themselves holding a tilted carton of milk or bottle of cooking oil, patiently waiting for the last drops to drip out. Now, physicists at Brown University have ...

Why is a "conscious field," presenting all the stimuli and memories occurring at one moment in time, necessary? It seems that one important reason might involve time.

My travel schedule has become much busier recently, so I’ve been on a lot of flights. This inspired me to share what I think is a helpful metaphor. Please bear with me. In the late 1600s, Isaac Newton ...

Abstract: Data-driven deep learning techniques have made notable advancements in modeling electromagnetic (EM) scattering problems. owever, its accuracy on the testing dataset can be heavily reduced ...