High-entropy alloys (HEAs) offer tunable compositions and surface structures, presenting significant potential for creating novel active sites to enhance CO2 reduction (CO2RR) catalysis, a key process ...

Explore the architecture of AlexNet, a groundbreaking deep neural network that revolutionized computer vision. This video walks through its layers and impact on the field of AI.

He is a professor of computer science at the University of Toronto. Dr. Hinton, 76, began researching neural networks as a graduate student at the University of Edinburgh in the early 1970s ...

British-Canadian Geoffrey Hinton, known as a "godfather of AI," and US physicist John Hopfield were given the prize for "discoveries and inventions that enable machine learning with artificial neural ...

With most computer programs—even complex ones ... where the non-interpretable neural networks underlying these models make it hard for even experts to figure out precisely why they often ...

A roomsize computer equipped with a new type of circuitry ... Modern day artificial neural networks that underpin familiar AI like ChatGPT and DALL-E are software versions of the Perceptron ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

1 Faculty of Information Systems and Computer Science, October 6 University ... The proposed work applies a Convolutional Neural Network (CNN) on retinal images to extract features that allow early ...

The technology, tested in transgenic mice, brings the researchers a step closer to building a minimally invasive brain-computer interface (BCI ... to use surface electrical signals to train neural ...

The neural networks that power ... easier to know whether to trust the computer’s predictions. Curious about the world? To enjoy our mind-expanding science coverage, sign up to Simply ...