Intel TSNC Promises Up to 18x Texture Compression With Neural Tech

Intel TSNC brings neural texture compression with up to 18x reduction, faster decoding, and flexible SDK support for modern ...
Morning Overview on MSN

Nvidia demo shows neural texture compression can cut VRAM use by up to 85%

Nvidia researchers have proposed a neural network-based method for compressing material textures that, in results reported in ...
PCMag

Nvidia, Intel Texture Compression Techs Cut VRAM Use Dramatically

Intel and Nvidia showed off their respective AI-powered texture-compression technologies over the weekend, demonstrating ...

Transform Your 3D Workflow: How Tripo Studio’s AI Automates Modeling, Texturing and Retopology

Tripo Studio’s Text to 3D Model feature converts written descriptions into detailed, production-ready 3D models with a single ...
Morning Overview on MSN

Nvidia demos neural texture compression, claiming 85% less VRAM use

Nvidia researchers have proposed a neural compression method for material textures that, according to results reported in ...

Nvidia shows neural compression can cut VRAM usage from 6.5GB to 970MB

In its "Tuscan Wheels" demo, the company showed VRAM usage dropping from roughly 6.5GB with traditional BCN-compressed ...

Sugar Substitute Market to Reach US$ 30.5 billion by 2033, Expanding Amid Rising Health Awareness and Clean-Label Demand - Persistence Market Research

The global sugar substitute market is growing steadily, expected to be valued at around US$ 20.4 billion in 2026 and projected to reach US$ 30.5 billion by 2033, with a CAGR of 5.9% in the coming ...
Scientific Research Publishing

H-UQ-MFF: Hybrid Uncertainty-Aware Multi-Feature Fusion for Clinically-Translatable Glaucoma Detection with FDA-Compliant Validation ()

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
IEEE

MeshSeg: 3D Mesh Segmentation Through Color Clustering for Controllable Texture Editing

Abstract: Segmenting 3D meshes is crucial for editing, reuse, and animation of 3D models, but it remains a labor-intensive manual process. We introduce MeshSeg, a 3D segmentation technique that ...
Frontiers

Cluster segmentation and stereo vision-based apple localization algorithm for robotic harvesting

Automated apple harvesting is hindered by clustered fruits, varying illumination, and inconsistent depth perception in complex orchard environments. While deep learning models such as Faster R-CNN and ...