Robots are rapidly moving beyond pre-programmed automation into a new era of adaptive, learning-driven autonomy. At the ...

Were at the AI4 Conference with Alan from Tryolabs an AI consulting firm thats been building real machine learning solutions ...

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

Raft's AI Mission System empowers CENTCOM operators with on-demand computer vision tailored to real-world missions – broad-area satellite search, distributed maritime monitoring, and counter-UxS ...

The idea of these so-called perception-driven systems is to interpret raw sensor data and convert it into actionable understanding. So, they capture the images as traditional machine vision would, but ...

AI Verse, the leader in synthetic data generation for computer vision applications, announces a €5 million funding round to ...

Abstract: Endovascular procedures have revolutionized vascular disease treatment, yet their manual execution is challenged by the demands for high precision, operator fatigue, and radiation exposure.

Dr. Shishir Shah is the director of the School of Computer Science and is the university’s first chief artificial intelligence officer. He joins OU after a distinguished tenure at the University of ...

Michael Massaro joined the University of San Diego (USD) on January 2, 2025 as the Copley Library’s new engineering and computer science embedded librarian. This innovative position aims to provide ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A Cornell research team has introduced a new method that helps machines make ...

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 ...