Physicists are accustomed to dealing with large datasets, yet they are fortunate in that the quality of their experimental data is very good. The onset of big data has led to an explosion of datasets ...

Researchers at Archetype AI have developed a foundational AI model capable of learning complex physics principles directly from sensor data, without any pre-programmed knowledge. This breakthrough ...

In a recent perspective published in Nature, Lawrence Livermore National Laboratory (LLNL) scientists and international collaborators outline key challenges and future directions in using machine ...

Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...

Data analysis and machine learning are finding applications in many fields of fundamental sciences, and theoretical physics is no exception. My group at the Institut de Physique Théorique (IPhT) ...

Messenger from the dark side: Dark matter may interact with normal matter via a hypothetical particle known as a dark photon. (Courtesy: Shutterstock/80's Child) A new analysis conducted by an ...

The "four foundations" necessary for studyingLast time, I talked about how"Quantum physics is very useful even today.However, it is just embedded in the machines we use, and learning it doesn't ...

Four physicists share their journeys through academia into industry and offer words of wisdom for those considering making a similar move. Throughout his higher education, Jamie Antonelli had always ...