If you’ve ever used a neural network to solve a complex problem, you know they can be enormous in size, containing millions of parameters. For instance, the famous BERT model has about ~110 million.

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...

Researchers at the University of Pennsylvania have developed a powerful new optical chip that can process almost 2 billion images per second. The device is made up of a neural network that processes ...

Nvidia used NATTEN to fine-tune its prediction model, Cosmos Predict, and the company introduced the second version of the ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

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.

The tools of artificial intelligence — neural networks in particular — have been good to physicists. For years, this technology has helped researchers reconstruct particle trajectories in accelerator ...

Artificial intelligence (AI) could soon become more energy-efficient and faster, thanks to a new approach developed at the ...