Abstract: Weakly-supervised learning methods have become increasingly attractive for medical image segmentation, but suffered from a high dependence on quantifying the pixel-wise affinities of ...

The company is positioning it as especially good for enterprise use. The company is positioning it as especially good for enterprise use. is The Verge’s senior AI reporter. An AI beat reporter for ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

Tides have changed with the Gemini 3 update, bringing Nano Banana Pro image generation to a wider range of users. The images are so realistic that Google provides an extension that detects images with ...

This means you can start coding sessions outside the terminal. It is available in research preview for Pro and Max users. Anthropic's Claude Code tool has become a go-to-assistant for developer's ...

If you've been waiting to create AI images with Google's newest model, now's the time to dive in. Katelyn is a writer with CNET covering artificial intelligence, including chatbots, image and video ...

Users in the US can now shop for products using natural language descriptions and reference images. Users in the US can now shop for products using natural language descriptions and reference images ...

Google Colab, also known as Colaboratory, is a free online tool from Google that lets you write and run Python code directly in your browser. It works like Jupyter Notebook but without the hassle of ...

Siqi Zhang*, Qizhe Zhang*, Shanghang Zhang*†, Xiaohong Liu*, Jingkun Yue*, Ming Lu, Huihuan Xu, Jiaxin Yao, Xiaobao Wei, Jiajun Cao, Xiang Zhang, Ming Gao, Jun Shen ...

Abstract: The success of deep learning in 3D medical image segmentation hinges on training with a large dataset of fully annotated 3D volumes, which are difficult and time-consuming to acquire.