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 ...
Hosted on MSN

Astronomy has a major data problem – simulating realistic images of the sky can help train algorithms

This article was originally published at The Conversation. The publication contributed the article to Space.com's Expert Voices: Op-Ed & Insights. Professional astronomers don’t make discoveries by ...
InfoWorld

14 popular AI algorithms and their uses

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...
Frontiers

Application of machine learning algorithms for prediction of ultraviolet absorption spectra of chromophoric dissolved organic matter (CDOM) in seawater

* - diluted samples, # - samples spiked with standard solution. The BPNN model is trained by continuously adjusting the weights and thresholds of each neuron, and the training processes consist ...
The Straits Times

External parties trying to influence Singapore, people here should guard themselves: Vivian Balakrishnan

SINGAPORE - External parties are trying to influence Singapore to suit their own agendas, and its people should be on guard against such attempts, Foreign Minister Vivian Balakrishnan said on Friday ...
Frontiers

Combining backpropagation with Equilibrium Propagation to improve an Actor-Critic reinforcement learning framework

Backpropagation (BP) has been used to train neural networks for many years, allowing them to solve a wide variety of tasks like image classification, speech recognition, and reinforcement learning ...
Interesting Engineering

How Do Self-Driving Cars Work?

Where are all the self-driving cars at? That’s what you’re probably saying to yourself after many large tech and automotive companies forecasted that by next year, in 2020, fully autonomous tech would ...
Wired

An AI Pioneer Explains the Evolution of Neural Networks

Geoffrey Hinton is one of the creators of Deep Learning, a 2019 winner of the Turing Award, and an engineering fellow at Google. Last week, at the company’s I/O developer conference, we discussed his ...