Nature

Extreme Learning Machines and Neural Networks

Extreme Learning Machines (ELMs) represent a class of feedforward neural networks distinguished by their rapid learning speed and analytical determination of output weights. Unlike conventional neural ...
ExtremeTech

Deep-learning neural network creates its own interpretive dance

Way back in 2005, when Will Wright unveiled Spore to an astonished crowd at GDC, there was one particular part of the demo that seemed to generate buzz: procedural dance. Spore uses player input to ...
ExtremeTech

What to Expect From Apple's Neural Engine in the A11 Bionic SoC

Apple is talking up the machine learning and AI capabilities of its next-gen smartphone, but what can the A11 Bionic actually do -- and why are so many companies focusing on developing these types of ...
Quanta Magazine

Novel Architecture Makes Neural Networks More Understandable

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
MIT Technology Review

A new way to build neural networks could make AI more understandable

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.
Science News

The discovery of tools key to machine learning wins the 2024 physics Nobel

As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...
Scientific American

Nobel Prize in Physics Awarded for Breakthroughs in Machine Learning

The human brain, with its billions of interconnected neurons giving rise to consciousness, is generally considered the most powerful and flexible computer in the known universe. Yet for decades ...
CNN

‘Godfather of AI’ shares Nobel Prize in physics for work on machine learning

The 2024 Nobel Prize in physics has been awarded to John Hopfield and Geoffrey Hinton for their fundamental discoveries in machine learning, which paved the way for how artificial intelligence is used ...
Quanta Magazine

How Chain-of-Thought Reasoning Helps Neural Networks Compute

Your grade school teacher probably didn’t show you how to add 20-digit numbers. But if you know how to add smaller numbers, all you need is paper and pencil and a bit of patience. Start with the ones ...

Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an interpretable artificial intelligence (AI) framework named Convolutional Kolmogorov ...
Ars Technica

How a stubborn computer scientist accidentally launched the deep learning boom

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...