NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...
AI doesn't just generate images; it mirrors our biases. New research shows how it can reinforce unrealistic body ideals, ...
The transmission of optical information through random scattering media is a major challenge in optics, biomedical imaging, ...
Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...
Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...
Google LLC today released DiffusionGemma, a large language model based on an emerging machine learning approach known as text diffusion. The company says the algorithm can generate text four times ...
For the fastest way to join Tom's Guide Club enter your email below. We'll send you a confirmation and sign you up to our newsletter to keep you updated on all the latest news. Join the Tom's Guide ...
Abstract: Underwater image classification (UIC) within Internet of Things (IoT) systems faces significant challenges, such as color casting, turbidity, and blurring, which reduce image quality and ...
Semi-supervised learning (SSL) has emerged as a promising paradigm for medical image classification, addressing the critical challenge of limited labeled data in healthcare where expert annotation is ...
It used to be easy enough to distinguish between human-made and AI-generated imagery — just two years ago, you couldn’t use image models to create a menu for a Mexican restaurant without inventing new ...
FRAM [CVPR'26] is a diffusion-based facial makeup transfer model with regional controllability. It can perform global makeup transfer and region-specific makeup transfer. A data synthesis pipeline ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results