Like other sectors of society, artificial intelligence is fundamentally changing how investors, traders and companies make ...

A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...

Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...

As an electrical engineer investigating early neural networks in the 1990s, I dreamed of a future where artificial ...

Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...

The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they ...

Overview Books provide a deeper understanding of AI concepts beyond running code or tutorials.Hands-on examples and practical ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways—and how ...

Liquid neural networks’ promise smaller, smarter and more transparent AI. And they’re already running on devices from drones ...