As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Pengfei Song is part of a team led by the University of Alberta, which has received an ARPA-H award to create high-resolution ...

In 2025, North America held a dominan market position, capturing more than a 38.6% share, holding USD 0.64 Billion revenue.

This project implements Vision Transformer (ViT) for image classification. Unlike CNNs, ViT splits images into patches and processes them as sequences using transformer architecture. It includes patch ...

Generating synthetic data with diffusion models poses a challenge due to the scarcity of data in computer vision. However, its practical application presents challenges, including the need for ...

INDIANAPOLIS — After a year of collecting data and hearing from residents across the city, Indianapolis leaders on Tuesday officially adopted the city’s first-ever Vision Zero Action Plan. The ...

Some computer vision programs have been thrown off by tricks such as manipulating the pixels in an image. MODIFIED FROM ISTOCK.COM / EYEEM MOBILE GMBH Anyone with a computer has been asked to “select ...

Robin Erickson has been covering high school sports since 2023 after graduating from Carroll College with a degree in Health Sciences. He began working in data operations at High School On SI before ...

Competition to deploy commercial brain-computer interfaces is heating up. Science Corporation—a competitor to Neuralink founded by the former president of Elon Musk’s brain-interface venture—has ...

Fine-grained few-shot ship classification under cloud occlusion is vital for maritime safety but remains challenging due to corrupted features and limited data utility. While the advent of large ...