Abstract

A team of scientists from  School of Physics and Astronomy at Queen Mary University of London has developed a novel artificial intelligence method that could revolutionize our understanding of the universe's most mysterious shapes. Using advanced machine learning, researchers can now explore complex geometric spaces, like the fabric of spacetime itself, without relying on traditional symmetry assumptions.

This new algorithm, called AInstein, tackles one of the most complex puzzles in physics and mathematics: finding the precise shape of space under Einstein field equations. Remarkably, it can do so on spaces as intricate as higher-dimensional spheres, opening new avenues for discovery and shedding light on our understanding of the universe.

The Hertz Foundation, a nonprofit dedicated to advancing American scientific and technological leadership, today announced the election of Hertz Fellow Jordan Chetty to its board of directors as an early-career board member. Chetty earned his Ph.D. in electrical engineering from the University of California, Berkeley, where he specialized in the fabrication of neural interfaces, devices that enable the study and modulation of brain activity. Driven by boundless curiosity, he has built a career that has so far ranged from creating his own startup to building large-scale systems at Meta. Recently, he joined global investment firm Citadel as software engineer.