Studying physics can be very useful—even when it comes to machine learning. A digital "super-brain" with built-in knowledge ...

Stolen neural information can create disastrous scenarios for cybersecurity professionals. 3 There are four dimensions of ...

Designing materials that steer light is a slow kind of trial and error. Each candidate structure must be tested in computer simulations, and every new data point can take anywhere from ten minutes to ...

In our view, higher-category theory, which possesses the highest degree of abstraction, is a second-level language relative ...

Methods for solving partial differential equations have progressed from analytical solutions to numerical simulations and, ...

A new study uses deep linear networks to prove that language undergoes iterated learning to become structured and learnable.

Anthropic’s new hire Andrej Karpathy is known for his work at OpenAI, Tesla and Stanford, with expertise in deep learning, computer vision and generative AI systems.