During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

The field of computer graphics has witnessed a transformative shift in real-time rendering through the integration of neural network methodologies. Traditionally, rendering pipelines relied on ...

Designing materials that steer light is a slow kind of trial and error. Each candidate structure must be tested in computer ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

A computer chip that calculates with light instead of electrical current has passed a milestone that researchers have chased for decades: it can run real neural-network tasks, on a sliver of silicon, ...

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

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

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