Q&A: How mathematics can reveal the depth of deep learning AI

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...
Deep Learning with Yacine on MSNOpinion

What Are Tensors in Deep Learning? A Beginner-Friendly Explanation

Tensors are the fundamental building blocks in deep learning and neural networks. But what exactly are tensors, and why are ...
Devdiscourse

Quantum deep learning decades away from practical breakthrough

The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...
Deep Learning with Yacine on MSN

Deep Learning Optimizers Explained Simply: What They Are and How They Work

Discover the role of optimizers in deep learning! Learn how algorithms like SGD, Adam, and RMSprop help neural networks train ...
Quanta Magazine

Novel Architecture Makes Neural Networks More Understandable

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
Analytics Insight

Best GPU for AI & Deep Learning in 2025

Overview: The proper GPU accelerates AI workloads, neural network training, and complex computations.Look for high CUDA core ...
Tech Xplore on MSN

FSNet finds feasible power grid solutions in minutes, outperforming tried-and-true tools

Managing a power grid is like trying to solve an enormous puzzle. Grid operators must ensure the proper amount of power is ...