Increasingly, AI models are able make short-term weather forecasts with surprising accuracy. But neural networks only predict based on patterns from the past—what happens when the weather does ...

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

Yet for neural networks to regain their foothold as a respected part of computer science, it took the success of speech recognition in the early 2000s., Even then, LeCun said: “We didn’t want to use ...

And without that proof, no safety-critical system can be certified with a neural network in its control loop. A new theorem ...

Nvidia’s latest pitch for the future of graphics is not about more polygons or higher memory bandwidth, it is about teaching GPUs to imagine. At CES 2026, Nvidia CEO Jensen Huang argued that neural ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...

The goal of a machine learning regression problem is to predict a single numeric value. Quantile regression is a variation where you are concerned with under-prediction or over-prediction. I'll phrase ...