Nature

Training all-mechanical neural networks for task learning through in situ backpropagation

Recent advances unveiled physical neural networks as promising machine learning platforms, offering faster and more energy-efficient information processing. Compared with extensively-studied optical ...
Phys.org

Neural networks made of light can make machine learning more sustainable

Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. The researchers at the Max Planck Institute for ...

This AI Learned the Laws of Physics and Could Accelerate Quantum Computing Breakthroughs

Researchers in Sweden have developed a machine-learning approach that embeds the laws of physics directly into neural ...
Nature

Charge integrated graph neural network-based machine learning potential for amorphous and non-stoichiometric hafnium oxide

The alternative text for this image may have been generated using AI. Fig. 2: Comparison between CNMP predictions and AIMD values. The alternative text for this image may have been generated using AI.
VentureBeat

How MIT’s Liquid Neural Networks can solve AI problems from robotics to self-driving cars

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more In the current artificial intelligence (AI ...
New Atlas

Cyborg computer with living brain organoid aces machine learning tests

As incredible as recent advances have been in machine learning, artificial intelligence still lags way behind the human brain in some important ways. For example, the brain happily learns and adapts ...
TMCnet

WiMi Achieves Breakthrough in Deep Convolutional Neural Network Technology Based on Quantum Parameterized Circuits

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company") is a leading global Hologram Augmented Reality ("AR") Technology provider. A quantum deep convolutional neural network technology ...
Tech Times

Physics AI Slashes Engineering Simulation From Days to Seconds, PhysicsX Raises $300M

Physics AI engineering simulation tools reached production at General Motors this week, cutting a two-week aerodynamics cycle ...
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 ...
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 ...
Yehey.com

Yehey.com - Machine Learning Evolution: From Pattern Recognition to Autonomous Intelligence

We are no longer merely observing the dawn of the Machine Learning (ML) era; we are residing in its midday sun. For the ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...