Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

Two University of Iowa engineers have won funding from the National Science Foundation to develop a theory that would improve ...

To ensure our bodies function correctly, the cells that compose them must operate properly. Imagine a cell as a bustling city ...

Abstract: Deep learning-based medical image processing methods can enhance diagnostic accuracy while significantly accelerating clinical decision workflows. However, in order to learn better visual ...

Credit: VentureBeat made with Flux.2 [klein] on Fal.ai The German AI startup Black Forest Labs (BFL), founded by former ...

Abstract: Hyperspectral image classification (HSIC) is crucial in several fields, but relies on a large number of labeled samples. Due to the high cost of manual annotation and the scarcity of samples ...

Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.

Image, trained entirely on Huawei chips, as Beijing moves to block Nvidia H200 imports in a push for AI self-reliance.

This repo contains pre-trained weights, and sampling code of MiraMo. Please visit our project page for more results. If you find this work useful for your research, please consider citing it. @article ...

We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...

It’s all hands on deck at Meta, as the company develops new AI models under its superintelligence lab led by Scale AI co-founder, Alexandr Wang. The company is now working on an image and video model ...