news.ucsb.edu

Proving the value of an old algorithm in training deep-learning models for AI

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...
EurekAlert!

Not so simple machines: Cracking the code for materials that can learn

Obtaining the gradient of what's known as the loss function is an essential step to establish the backpropagation algorithm developed by University of Michigan researchers to train a material. The ...
CoinTelegraph

Who is Geoffrey Hinton? Meet the ‘Godfather of AI’

Geoffrey Hinton is a pioneering figure in artificial intelligence, often referred to as the “Godfather of AI.” His work on deep learning and neural networks has revolutionized how machines interpret ...
Learn With Jay on MSN

Backpropagation In CNN — You Won’T Get It Until You See This Part 1

Backpropagation in CNN is one of the very difficult concept to understand. And I have seen very few people actually producing content on this topic. So here in this video, we will understand ...
InfoWorld

Styles of machine learning: Intro to neural networks

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 ...
VentureBeat

10 years later, deep learning ‘revolution’ rages on, say AI pioneers Hinton, LeCun and Li

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Artificial intelligence (AI) pioneer ...