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

NEO is a humanoid robot from Palo Alto-based robotics startup 1X that could one day autonomously help out around your home.

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 ...

Machine learning with neural networks is sometimes said to be part art and part science. Dr. James McCaffrey of Microsoft Research teaches both with a full-code, step-by-step tutorial. A binary ...

TL;DR: NVIDIA's Zorah tech demo showcases advanced Neural Rendering with full ray tracing, AI-powered Neural Shaders, and RTX Neural Texture Compression, delivering realistic, cinematic graphics in ...

Here’s an unusual concept: a computer-guided mechanical neural network (video, embedded below.) Why would one want a mechanical neural network? It’s essentially a tool to explore what it would take to ...

Demonstration of neural receiver performance inside an Open RAN testbed Tools for complete design flow include ability to train the neural receiver using site-specific scenarios External channel ...

Researchers create a photochromic fluorescent system that performs optical neural computing and visual output in one step, cutting power use and complexity.

The robot uses a 3D camera, touch and force sensors on its claws, and a self-training neural network to scale ladders.

A binary classification problem is one where the goal is to predict the value of a variable where there are exactly two discrete possibilities. For example, you might want to predict the sex of a ...