JDK 27, due in September, kicks off with a post-quantum hybrid key exchange proposal to bolster the security of network ...

Abstract: Computer vision is the field that focuses on automating and combining various processes and representations used for visual perception. The subject encompasses numerous approaches that ...

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 ...

Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new problem for AI to tackle in 2026. Opinion I have followed computer vision and ...

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 ...

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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 - ...

Abstract: Modern railways continue to strive for remote and automated methods to improve the visual inspection procedures for their assets. In some cases, these inspections provide new information ...

California-based Cognixion is launching a clinical trial to allow paralyzed patients with speech disorders the ability to communicate without an invasive brain implant. Cognixion is one of several ...

Computer vision moved fast in 2025: new multimodal backbones, larger open datasets, and tighter model–systems integration. Practitioners need sources that publish rigorously, link code and benchmarks, ...

DINOv3 represents a major leap in computer vision: its frozen universal backbone and SSL approach enable researchers and developers to tackle annotation-scarce tasks, deploy high-performance models ...

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 ...