Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from ...

You’ll see how to apply mathematical optimization algorithms that often prove superior to local optimization methods favored by typical machine learning applications and discuss why these methods can ...

A research team has reviewed how machine learning (ML) is revolutionizing fermentation design and process optimization by ...

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...

Considering a fundamental rethinking of AI methodologies toward migrating intelligence from the cloud to the growing global ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

What’s changing the game isn’t simply new technology. It’s the ability to see beneath the surface—literally and historically.

Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch.