Frontiers

Artificial Intelligence for Microbial Systems and Biomedical Applications

Advances in artificial intelligence (AI) are transforming the way we analyze, model, and interpret both microbial systems and complex biomedical data.
The Next Web

Dutch eyeo raises €40m to commercialise NCOS color-splitting image sensors

Series A led by Innovation Industries to bring its imec-developed Nanophotonic Color Splitting sensor technology.
IEEE

KAC-Unet: A Medical Image Segmentation With the Adaptive Group Strategy and Kolmogorov-Arnold Network

Abstract: In the field of deep learning-based medical image segmentation, convolutional neural networks (CNNs) extract image features by combining linear convolutional layers with nonlinear activation ...
eWeek

AI Image Generator Cheat Sheet: Nano Banana, ChatGPT, and More

Compare the best AI image generators, including Gemini, ChatGPT, Midjourney, Firefly, Ideogram, FLUX, Recraft, Stable ...
TMCnet

RIVANNA receives FDA 510(k) clearance for Accuro XV musculoskeletal ultrasound imaging system

The 510 (k) clearance comes as RIVANNA accelerates development of AI-enabled capabilities for the Accuro XV platform, including BoneEnhance ®, an image segmentation module for enhanced bone ...
IEEE

Clinical Applications of Deep Learning for Glottal Area Segmentation and Glottal Area Waveform Feature Computation

Abstract: Goal: Analysis of the glottal area during vocal fold vibration has gained increasing attention. However, traditional analysis requires manual, frame-by-frame glottal area annotation to ...