In the mid-noughties, when music by the Killers and Franz Ferdinand blared out of every pub and nightclub I passed, I spent my days and nights struggling through a Ph. D.
University of California, Berkeley, who was jointly awarded the 2025 Nobel Prize in Chemistry for his pioneering work on ...
Physicists have long known that black holes do not necessarily have to form from collapsing stars. Under the right conditions, spacetime itself can organize into a delicate, highly ordered state that ...
On the trail of the missing hydrogen atoms. Villigen, 11.06.2026 — To simulate the properties of materials, researchers use crystal stru ...
Right on the brink of black hole formation, spacetime can get downright peculiar. This is where familiar physics can become unnervingly strange, and understanding how cosmic processes play out often ...
This article is part of a package on the future of quantum computing. Read about the quest to develop these machines here and see an illustrated field guide to qubits here. The 21st-century fervor ...
From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has succeeded by mastering one domain: text. However, this leaves a major blind spot ...
A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum ...
China’s grip on global supply chains is turbocharging efforts to find alternatives to the small group of metals that dominate EV motor technology An employee working on an AEM motor at the company's ...
Students from The Pioneer School in St. Augustine are on their way to Iowa State University in Ames, Iowa for the Odyssey of the Mind World Finals after winning a second-place spot in their division ...
Quantum technologies like quantum computers are built from quantum materials. These types of materials exhibit quantum properties when exposed to the right conditions. Curiously, engineers can also ...
We work on challenging machine learning problems and design cutting-edge algorithms for both real-world applications and fundamental science problems. In particular, we are interested in deep learning ...