Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new ...
The five-year, $584,034 project — “CAREER: Opening the Black Box: Advancing Interpretable Machine Learning for Computer Vision” — aims to bring greater transparency and accountability to AI-powered ...
As injuries persist despite strong safety programs, employers are turning to AI and computer vision to detect unseen risks, prevent incidents, and make safety a strategic advantage. Safety leaders ...
Glacier has deployed its artificial intelligence (AI) sorting technology at Penn Waste Inc.’s material recovery facility (MRF) in York County, Pennsylvania, with funding from Cox Enterprises. Waste ...
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 ...
Imaging research in the popular field of computer vision almost always involves analysing humans and their environments, and most of the subsequent patents can be used in surveillance technologies, a ...
Computer vision startup Matrice.ai Inc. said today it has closed on a strategic expansion of its seed funding round, adding to the original investment it first disclosed in May. It didn’t disclose the ...
The nature of scientific progress is that it sometimes provides powerful tools that can be wielded for good or for ill: splitting the atom and nuclear weapons being a case in point. In such cases, ...
There's a lot of excitement about ambient artificial intelligence in healthcare, but smart hospital platform Artisight has its eyes on developing fully hands-free autonomous monitoring and ...
Meta AI glasses combine advanced computer vision, voice AI, and an innovative in-lens display with neural band control, transforming how users see, hear, and interact with the world. Ray-Ban - ...
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.