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

Dr. James McCaffrey of Microsoft Research uses a full-code, step-by-step demo to show how to predict the annual income of a person based on their sex, age, state where they live and political leaning.

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 ...

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

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

1X, an AI and robotics company which is backed with investment from OpenAI, has demonstrated androids designed to safely and intelligently augment the global labor force. Their mission is to create ...

Neural networks made from photonic chips can be trained using on-chip backpropagation – the most widely used approach to training neural networks, according to a new study. The findings pave the way ...

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 ...

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

A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex, age, state where they live and ...