The finalists are: mpathic, ElastixAI, Dropzone AI, Dopl Technologies, and Loopr AI.

Researchers have evaluated how Vision Transformers and convolutional neural networks can support faster and more accurate ...

GitHub is adopting AI-based scanning for its Code Security tool to expand vulnerability detections beyond the CodeQL static analysis and cover more languages and frameworks. The developer ...

This research presents a deep learning-based automated product defect detection system to address limitations of conventional manual inspection techniques that are labor-intensive and prone to errors.

Antares Vision Group, a technological partner in the digitalization of products and supply chains for companies and institutions, and a leader in traceability and inspection for quality control – has ...

OpenAI Group PBC today launched a new large language model that it says is more adept at automating work tasks than its earlier algorithms. GPT-5.4 is available in ChatGPT, the Codex programming tool ...

Abstract: This paper presents a Computer Vision Based Pavement Defect Detection System, which aims at improving the efficiency and accuracy of a road maintenance system. The framework uses Multi-Scale ...

Congenital heart defects (CHDs) are among the most common birth defects, affecting nearly 1 in 100 babies born in the U.S. Yet despite advances in prenatal imaging, CHD remains one of the most ...

The system, developed by Panevo, a Canadian clear technology and manufacturing analytics company, reportedly achieved approximately 97% detection reliability with minimal false positives of Muskoka’s ...

Will we scan 100,000 faces just to catch a single thief? It is the question that surfaces every time retail loss‑prevention teams sit down with AI vendors. After all, using facial recognition has ...

[Dennis] of [Made by Dennis] has been building a Voron 0 for fun and education, and since this apparently wasn’t enough of a challenge, decided to add a number of scratch-built improvements and ...