New software toolbox enables brain-like models to learn directly from data

Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
IEEE

seUNet-Trans: A Simple Yet Effective UNet-Transformer Model for Medical Image Segmentation

Abstract: Medical image segmentation plays a crucial role in modern clinical practice, enabling accurate diagnosis and personalized treatment plans. Advancements in machine learning, particularly deep ...
IEEE

OSClip: Domain-Adaptive Prompt Tuning of Vision-Language Models for Open-Set Remote Sensing Image Classification

Abstract: Remote sensing image classification models face significant challenges when adapting to new domains due to variations in image acquisition conditions, sensor types, and scene categories.
ExtremeTech

Microsoft Launches MAI-Image-1, Its First In-House Text-to-Image AI Model

Microsoft has unveiled MAI-Image-1, its first text-to-image model fully developed in-house. MAI-Image-1 ranks among the top 10 models on the LMArena platform, meaning it delivers strong results when ...