Latest Articles
Latest Neural Nets Solve World’s Hardest Equations Faster Than Ever Before
Two new approaches allow deep neural networks to solve entire families of partial differential equations, making it easier to model complicated systems and to do so orders of magnitude faster.
Artificial Neural Nets Finally Yield Clues to How Brains Learn
The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could.
A New Theorem Maps Out the Limits of Quantum Physics
The result highlights a fundamental tension: Either the rules of quantum mechanics don’t always apply, or at least one basic assumption about reality must be wrong.
Deep Neural Networks Help to Explain Living Brains
Deep neural networks, often criticized as “black boxes,” are helping neuroscientists understand the organization of living brains.
How to Turn a Quantum Computer Into the Ultimate Randomness Generator
Pure, verifiable randomness is hard to come by. Two proposals show how to make quantum computers into randomness factories.
New Quantum Paradox Clarifies Where Our Views of Reality Go Wrong
The Frauchiger-Renner thought experiment has shaken up the world of quantum foundations.
Closed Loophole Confirms the Unreality of the Quantum World
A quickly closed loophole has proved that the “great smoky dragon” of quantum mechanics may forever elude capture.