The discovery corrects long-held assumptions in plasma physics and opens the door to studying complex, many-particle systems ...

Neural network regularization is a technique used to reduce the likelihood of model overfitting. There are several forms of regularization. The most common form is called L2 regularization. If you ...

Enter OpenAI’s Triton programming language. According to the lab, the language performs many AI code optimizations automatically to save time for developers.

Janelle Shane, a research engineer for an optics company who also likes to experiment with neural-network programming, trained a machine-learning system to create new monsters for D&D.

A digital 'neural network' has been put through its paces on the streets of Amsterdam - with a video showing how the program can identify people, vehicles and even different types of food by ...

Neural networks are close to how we think the brain operates. I won't state how neural networks operate as there are undoubtably better explanations online. However, they aren't the end-all for AI.

Earlier this year, Tesla CEO Elon Musk said that the company’s powerful next-gen neural net (coined Dojo) is being built and its version 1.0 should be up and running next year.

” (May 3), Dr. Michael Segal writes: “In my years on the faculty of Harvard Medical School, I spent less than 1% of my time teaching students about neural network programming, epilepsy ...