Medical image segmentation is a basic problem in medical image processing field and the key to the problem from processing to analyzing.Medical image segmentation based on SVM needs the category ...

The researchers who developed the system, called Centaur, fine-tuned a large language model (LLM) using a massive set of data ...

Companies using A.I. tools to automate tasks like coding are changing job prospects for recent grads and college students.

Universities across the country are scrambling to understand the implications of generative A.I.’s transformation of ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

Point cloud primitive instance segmentation is critical for understanding the geometric shapes of man-made objects. Existing learning-based methods mainly focus on learning high-dimensional feature ...

Whether it’s choosing what to eat or what to read, recommendation systems are what make digital products human. They close ...