Tripo AI Announces Enterprise-Grade AI 3D Model Generator Expansion for US Spatial Computing Market

The rapid evolution of spatial computing necessitates asset-creation methods that transcend the constraints of manual modeling. Tripo AI has introduced an enterprise-focused framework designed to ...

From images to insight: AI builds the first pediatric reference map for meibomian glands

Dry eye disease is a common ocular condition that can significantly impair quality of life, and dysfunction of the meibomian glands is a major contributing factor. Advances in infrared meibography ...
GitHub

Flash LiDAR Vehicle Detection with MATLAB Dataset and Deep Learning Benchmarks

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
Forbes

After Nano Banana Pro: China’s AI Image Models Are Closing The Gap

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Photo by SIMON WOHLFAHRT/AFP via Getty Images A few months after Nano Banana Pro emerged as ...
IEEE

AdVeinSAM: Adversarial Learning-Based Large Model for Palm-Vein Feature Segmentation

Abstract: Palm-vein recognition is gaining significant attention as a high-security biometric recognition technology. However, the vein image acquisition process is easily affected by several factors, ...
Digital Trends

Microsoft AI debuts its Nano Banana rival, and it’s already a top text-to-image model

What’s happened? Microsoft AI has unveiled the slightly clunkily named MAI-Image-1, its in-house text-to-image system. The pitch is straightforward, generate useful pictures quickly, not flashy demos ...
News Medical

New AI system streamlines segmentation of biomedical images

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical researchers take when running a new study involving biomedical images. For ...
IEEE

Toward Reliable Medical Image Segmentation by Modeling Evidential Calibrated Uncertainty

Abstract: Medical image segmentation is critical for disease diagnosis and treatment assessment. However, concerns regarding the reliability of segmentation regions persist among clinicians, mainly ...