"Understanding Large Models for Humanities Students (1.0)" is written by Penny Liang, offering a simplified perspective to break down the core principles of large models, focusing on neural networks ...

A technical paper titled “Analysis of Optical Loss and Crosstalk Noise in MZI-based Coherent Photonic Neural Networks” was published by researchers at Colorado State University (Fort Collins), NVIDIA, ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...

“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 ...

Conventional studies on stem cell fates are primarily focused on transcription factors, with the limited consideration for 3D ...

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification to ...