Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

Veronika Koren talks about pursuing a theory of neural coding that doesn’t fit a simple narrative, and the resilience it took to see it through.

There’s plenty of interest in how AI could help accelerate scientific research, but there’s a particular field it could ...

Nvidia’s data center chips have become the default engine for modern artificial intelligence, but they are not just faster ...

Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and ...

As schools across the U.S. continue to grapple with low math achievement and persistent staffing shortages, some district leaders are exploring whether artificial intelligence can aid in improved ...

This year has seen some amazing advancements in fundamental mathematics. Researchers have made breakthroughs in geometry, topology, chaos theory, and more. And a startling three of our top 10 ...

Abstract: In this article, an enhanced diffractive neural network is proposed for achieving metasurface holograms with high resolution, low noise, and uniform intensity. First, we prove the ...