UroToday

AUA 2026: Computer Vision in Endourology

Liao delivered a state-of-the-art lecture on Computer Vision in Endourology, highlighting how artificial intelligence (AI) ...
New Atlas

World’s first native color LiDAR gives machines human-like vision

For years, machines have navigated the world color-blind. LiDAR sensors – the laser-based eyes of self-driving cars, ...
Tweakers

PHD Student - AI Research / Computer Vision Engineer

We are seeking a highly motivated PhD candidate with a strong background in Artificial Intelligence and Computer Vision to join the Image-Guided Surgery research group at the Netherlands Cancer ...
Analytics Insight

Deep Learning for Computer Vision, Stanford University

Stanford University’s Deep Learning for Computer Vision (XCS231N) is a 100% online, instructor-led course offered by the ...
Analytics Insight

Top GitHub Projects for Machine Learning Beginners (2026 Guide)

Popular GitHub repos like Microsoft’s “Generative AI for Beginners” and “LLMs from Scratch” teach modern AI concepts step by ...

Why Patents Just Became the Most Underpriced Asset in AI Defense — and How One Nasdaq Player Is Building a Visual Intelligence Moat Quietly

From the Pentagon's Drone Dominance Program to private-sector perimeter security, intellectual property in computer vision has shifted from ...
marktechpost

Google DeepMind Introduces Vision Banana: An Instruction-Tuned Image Generator That Beats SAM 3 on Segmentation and Depth Anything V3 on Metric Depth Estimation

For years, the computer vision community has operated on two separate tracks: generative models (which produce images) and discriminative models (which understand them). The assumption was ...
Frontiers

Interpretable vision mamba for SAR images classification

Deep learning techniques have been successfully applied to object classification in Synthetic Aperture Radar (SAR) images, achieving remarkable performance. However, the current Transformer ...
IEEE

HZSCM: Hyperspectral Image Zero-Shot Classification via Vision-Language Models

Abstract: Most hyperspectral image (HSI) classification methods assume that all classes in the test set are present during training. However, in real-world applications, acquiring labeled training ...