Computer Science

Consciousness is a famously hard problem, so Hod Lipson is starting from the basics: with self-aware robots that can help us understand how we think.

To researchers’ surprise, deep learning vision algorithms often fail at classifying images because they mostly take cues from textures, not shapes.

Pure, verifiable randomness is hard to come by. Two proposals show how to make quantum computers into randomness factories.

Neven’s law states that quantum computers are improving at a “doubly exponential” rate. If it holds, quantum supremacy is around the corner.

The universe of problems that a computer can check has grown. The researchers’ secret ingredient? Quantum entanglement.

Quantum computers can’t selectively forget information. A new algorithm for multiplication shows a way around that problem.

By chopping up large numbers into smaller ones, researchers have rewritten a fundamental mathematical speed limit.

Researchers have just released hacker-proof cryptographic code — programs with the same level of invincibility as a mathematical proof.

The latest AI algorithms are probing the evolution of galaxies, calculating quantum wave functions, discovering new chemical compounds and more. Is there anything that scientists do that can’t be automated?