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 ...

This is my journey to implement NNs from first principles, one neuron at a time. In this notebook we build a neural network with 2 neurons in layer 1, and 1 neuron in layer 2. We then visualize how it ...

The brain criticality hypothesis has been a central research topic in theoretical neuroscience for two decades. This hypothesis suggests that the brain operates near the critical point at the boundary ...

Code Repository for the paper: "Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction" at the ICLR 2025 Workshop on Neural Network Weights as a New Data Modality (WSL ...

Walker Consultants, Stantec, Choate Parking Consultants, Page, Arcadis North America, and Gensler top Building Design+Construction's ranking of the nation's largest parking structure architecture and ...

For years, Republican activists have huddled in video meetings to talk about remaking democracy and plan for the election. The New York Times has obtained the recordings. By Alexandra Berzon, Nick ...

Graph Neural Networks (GNNs) have emerged as the leading approach for graph learning tasks across various domains, including recommender systems, social networks, and bioinformatics. However, GNNs ...