To ensure security, scalability and agility, many organizations are migrating to the cloud to unify data, reduce costs and ...

Johns Hopkins researchers create an artificial intelligence model to mine rich, predictive data from routine ECG tests ...

The "EchoCare" Ultrasound Large Model was trained on the first ultrasound image dataset known to exceed 4 million images. The model introduces a "Structured Contrast Self-Supervised Learning Framework ...

Scientists estimated Wednesday that rising temperatures from human-caused climate change were responsible for roughly 16,500 ...

Wang, S. (2025) A Review of Agent Data Evaluation: Status, Challenges, and Future Prospects as of 2025. Journal of Software ...

Atomic Canyon and INL have developed an open-source AI benchmark suite for nuclear applications to ensure safety, compliance, ...

Abstract: Spatially resolved transcriptomics represents a significant advancement in single-cell analysis by offering both gene expression data and their corresponding physical locations. However, ...

This project is not affiliated with, endorsed by, or related to NASA (National Aeronautics and Space Administration) or any of its subsidiaries or its affiliates. It is an independent implementation ...

Abstract: Seismic data denoising is a crucial and challenging task for high-quality seismic exploration. Recent advancements in deep learning methods have demonstrated promising results in seismic ...

Cybersecurity company ESET has disclosed that it discovered an artificial intelligence (AI)-powered ransomware variant codenamed PromptLock. Written in Golang, the newly identified strain uses the gpt ...