Networks

computers and Artificial Intelligence, we had established institutions designed to reason systematically about human behavior — the court. The legal system is one in all humanity’s oldest reasoning engines, where facts and evidence...

as a black box. We all know that it learns from data, however the query is it truly learns. In this text, we are going to construct a tiny Convolutional Neural Network (CNN)...

Artificial Intelligence (AI) dominates today’s headlines—hailed as a breakthrough in the future, warned against as a threat the subsequent. Yet much of this debate happens in a bubble, focused on abstract hopes and fears...

The rise of artificial intelligence resurfaces an issue older than the abacus:...

parts of this series, we checked out Graph Convolutional Networks (GCNs) and Graph Attention Networks (GATs). Each architectures work effective, but additionally they have some limitations! A giant one is that for big...

Staying on top of a fast-growing research field is rarely easy. I face this challenge firsthand as a practitioner in Physics-Informed Neural Networks (PINNs). Latest papers, be they algorithmic advancements or cutting-edge applications, are published...

A deep dive into the world of computational modeling and its applicationsFor a long time, scientists have sought to grasp how humans make decisions — whether we’re selecting what to eat for lunch or...

Once the network has been trained, though, things get way, way cheaper. Petersen compared his logic-gate networks with a cohort of other ultra-efficient networks, akin to binary neural networks, which use simplified perceptrons that...