Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...
Identifying and delineating cell structures in microscopy images is crucial for understanding the complex processes of life. This task is called "segmentation" and it enables a range of applications, ...
A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...
Although proteins are composed out of only a small number of distinct amino acids, this deceptive simplicity quickly vanishes when considering the many possible sequences across a protein, not to ...
AI startup Stability AI continues to refine its generative AI models in the face of increasing competition — and ethical challenges. Today, Stability AI announced the launch of Stable Diffusion XL 1.0 ...
On Wednesday, Stability AI released Stable Diffusion XL 1.0 (SDXL), its next-generation open weights AI image synthesis model. It can generate novel images from text descriptions and produces more ...
Stability AI, developer of open source models focused on text-to-image generation, has introduced Stable Diffusion 3.5, the latest version of its deep learning, text-to-image model. This release ...
AMD, in collaboration with Stability AI, has unveiled the industry's first Stable Diffusion 3.0 Medium AI model tailored for the company's XDNA 2 NPUs which process data in the BF16 format. The model ...
On Tuesday, Stability AI released Stable Video Diffusion, a new free AI research tool that can turn any still image into a short video—with mixed results. It’s an open-weights preview of two AI models ...
With so much money flooding into AI startups, it’s a good time to be an AI researcher with an idea to test out. And if the idea is novel enough, it might be easier to get the resources you need as an ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results