New research by Brown University computer scientists may be a key step in bringing volumetric video—video that can be viewed from virtually any perspective in a 3D scene—to computers and smart ...

MR-AIV uses physics-informed AI and DCE-MRI scans to infer 3D brain-wide fluid movement in mice without direct flow ...

A new method called PackUV compresses massive 3D video data into everyday video formats, potentially bringing immersive video experiences closer to home televisions and computers.

aZhongshan Ophthalmic Center, Sun Yat-sen University, WHO Collaborating Centre for Eye Care and Vision, State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and ...

Getting a depth module in Subnautica 2 increases your tadpole submarine's depth resistance and lets you explore further without having to worry about finding oxygen spots. However, you'll reach the ...

ABSTRACT: Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of MRI images through deep learning is important for early treatment ...

Abstract: Autonomous driving requires accurate scene understanding, including road geometry, traffic agents, and their semantic relationships. In online HD map generation scenarios, raster-based ...

The HiWonder WonderLLM ESP32-S3 AI Camera features both vision and voice capabilities. HiWonder has launched the WonderLLM, a compact smart interaction module built around the ESP32-S3 microcontroller ...

The two big stories of AI in 2026 so far have been the incredible rise in usage and praise for Anthropic's Claude Code and a similar huge boost in user adoption for Google's Gemini 3 AI model family ...

The need for machine vision is growing across a range of applications, including security, traffic and city cameras, retail analytics, automated inspection, process control, and vision-guided robotics ...

ABSTRACT: License Plate Recognition (LPR) systems face significant challenges when deployed in real-world environments that differ from their training data, due to variations in angle, resolution, ...