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 ...

Abstract: Efficient large-scale monitoring of methane emissions is crucial for sustainable environmental management, necessitating advanced remote sensing techniques that process hyperspectral imagery ...

NEW YORK, Dec. 16, 2025 /PRNewswire/ -- Medivis Inc., a pioneer in surgical intelligence, today announced it has received FDA 510(k) clearance for its Cranial Navigation platform -- making it the ...

Apple is reportedly preparing a major silicon update for the Vision Pro headset, with supply chain sources indicating that the device will feature a next-generation R2 chip built on TSMC’s 2nm process ...

Apple will put its next-generation R2 chip based on TSMC's 2nm process inside a future Apple Vision Pro, making the headset the showcase for its most advanced silicon. The company is expanding its ...

Ultralytics Inc., a developer of computer vision models, today announced that it has raised $30 million in funding. Elephant VC led the Series A round with participation from SquareOne. Ultralytics ...

ABSTRACT: To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed.

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

tumor cases and BI-RADS annotations in categories 2, 3, 4, and 5. In addition, the dataset also contains ground truth delineations that divide the BUS images into tumoral and normal regions. If you ...