In 1986, three scientists improved backpropagation, making neural networks learn effectively from data

A groundbreaking 1986 technique called backpropagation revolutionized artificial intelligence, enabling computers to learn ...
Phys.org

How do neural networks learn? A mathematical formula explains how they detect relevant patterns

Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human ...
TechRepublic

Network Definition Made Simple: Here’s the Basics

Spoiler: there isn’t just one network definition. Learn everything you need to assess various network types, topologies, and architectures. The simple network definition: a system that links other ...
Quanta Magazine

Neural Networks Need Data to Learn. Even If It’s Fake.

Real data can be hard to get, so researchers are turning to synthetic data to train their artificial intelligence systems. On a sunny day in late 1987, a Chevy van drove down a curvy wooded path on ...
Michigan Technological University

What is Applied Computing?

Applied computing is a multidisciplinary field that blends the theoretical and practical aspects of computing to solve day-to-day business and industry problems—integrating computing with other ...
The Conversation

Networks of silver nanowires seem to learn and remember, much like our brains

Over the past year or so, generative AI models such as ChatGPT and DALL-E have made it possible to produce vast quantities of apparently human-like, high-quality creative content from a simple series ...
The Conversation

A new type of material called a mechanical neural network can learn and change its physical properties to create adaptable, strong structures

A new type of material can learn and improve its ability to deal with unexpected forces thanks to a unique lattice structure with connections of variable stiffness, as described in a new paper by my ...