Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

Learn how to implement backpropagation using automatic differentiation from the ground up in Python—no libraries, just pure logic and math!

But hardly anyone had heard of “backpropagation” — a learning mechanism for AI that, to this day, remains foundational for training artificial neural networks on complex tasks.