Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

The U.S. Army is formalizing a new career path that allows officers to specialize in artificial intelligence and machine learning, officially designating the 49B AI/ML Officer as an area of ...

Amol Kohli’s journey reflects the quiet endurance that defines many immigrant success stories, starting from the restaurant ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Abstract: Vision Transformer (ViT) is an image recognition model that uses transformer architecture, which has a numerous advantage over Convolution Neural Networks (CNN). It offers improved accuracy, ...

Liz Muller, CEO and co-founder of Deep Fission, is all smiles as she drills at the site of world’s first mile-deep nuclear reactor in Great Plains Industrial Park outside Parsons on Tuesday. Photo by ...

When the cement dried and the welcome sign flickered to life for the brand new 83-room facility in early spring, little did key figures in the development of the new hotel in Shonto know that “coming ...

With the growing model size of deep neural networks (DNN), deep learning training is increasingly relying on handcrafted search spaces to find efficient parallelization execution plans. However, our ...

Google released on Thursday a “reimagined” version of its research agent Gemini Deep Research based on its much-ballyhooed state-of-the-art foundation model, Gemini 3 Pro. This new agent isn’t just ...

Abstract: Brain-Computer Interfaces (BCI) and Neurofeedback (NFB) approaches, which both rely on real-time monitoring of brain activity, are increasingly being applied in rehabilitation, assistive ...

HONOLULU (Island News) - Local students will soon be learning more about money management as part of a financial literacy push. As of the 2026-2027 school year, the State Department of Education will ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...