Researchers from SLAC and around the world increasingly use machine learning to handle Big Data produced in modern experiments and to study some of the most fundamental properties of the universe.

Their work will deepen our understanding of matter in extreme conditions and fundamental particle physics.

Tais Gorkhover, Michael Kagan, Kazuhiro Terao and Joshua Turner will each receive $2.5 million for research that studies fundamental particles, nanoscale objects, quantum materials and machine learning.

Planning the next big science machine requires consideration of both the current landscape and the distant future.

In the Large Hadron Collider, protons become new particles, which become energy and light, which become data.

Successful physics collaborations rely on cooperation between people from many different disciplines.

It’s less of a collision and more of a symphony.

Universities in sub-Saharan Africa are teaming up to offer free training to students interested in fundamental physics.

Protons are colliding once again in the Large Hadron Collider.

Boston University physicist Tulika Bose explains why there's more than one large, general-purpose particle detector at the Large Hadron Collider.

How can we measure the worth of scientific knowledge? Economic analysts give it a shot.

Scientists furthered studies of the Higgs boson, neutrinos, dark matter, dark energy and cosmic inflation and continued the search for undiscovere