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 ...

Objective: To evaluate the precision of a computer vision (CV) and augmented reality (AR) pipeline for orthodontic applications, specifically in direct bonding and temporary anchorage device (TAD) ...

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...

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 ...

Abstract: World energy requirement has steadily increased due to population growth, urbanization, and industrial advancement. The rise of smart cities and the need for energy-efficient systems is ...

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, ...

When 3D printing was invented more than 40 years ago, it was a linear process, and its workflow remains essentially unchanged. Typically, users decide on a geometry to print, without precise knowledge ...

Learn how to create a cool computer vision security camera effect for music videos in After Effects. Step-by-step and beginner-friendly! #AfterEffectsTutorial #MusicVideoEffects #MotionGraphics Trump ...

Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...

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 ...

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 ...