This repository contains the implementation of a deep learning model for real-life violence detection using the Vision Transformer for video classification ... and its final embedding is used as a ...

A U of A engineering researcher is using sunlight and semiconductor catalysts to produce hydrogen by splitting apart water ...

When transformers malfunction or fail, they can put operations at risk of downtime and financial losses. That’s where AI can ...

As quantum-inspired methods enter the AI arena, companies like Dynex are developing alternatives to mainstream LLMs. What ...

To build the experimental stations of the future, scientists at the National Synchrotron Light Source II (NSLS-II), a U.S. Department of Energy (DOE) Office of Science user facility at DOE's ...

Researchers from the ECOG-ACRIN Cancer Research Group (ECOG-ACRIN) have applied AI-driven processes for detecting tertiary lymphoid structures (TLS) in thousands of digital images of melanoma tumor ...

A study led by Prof. Zhang Nannan from the Xinjiang Institute of Ecology and Geography (XIEG) of the Chinese Academy of ...

Bots’ tendency to display “unwarranted confidence” and fixate on “pink elephants” is particularly risky in medical research, according to a new paper.

This study presents a robust and scalable driver drowsiness detection framework that integrates a Swin Transformer-based deep learning ... Our system introduces a novel preprocessing stage using a ...