As artificial intelligence systems grow larger and more powerful, their energy demands are rising dramatically. But recent ...

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 ...

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

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 ...

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

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 ...

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 ...

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

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