Hybrid human–AI models emerge as the most viable approach. In such systems, AI handles low-risk, high-frequency tasks such as ...

Treating antiphospholipid syndrome by focusing on blood clots falls short of addressing the underlying biology driving each individual patient's disease ...

Antiphospholipid syndrome, also known as APS, is an autoimmune disease that sits at the intersection of inflammation and blood ...

Scientists are exploring how DNA’s physical structure can store vast amounts of data and encode secure information.

A data science course is meant to equip learners with a higher level of positions that are founded on the analysis of data, statistics, and machine learning aimed at addressing intricate problems. The ...

Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the ...

The research team of Weihong Tan, Xiaohong Fang, and Tao Bing from the Hangzhou Institute of Medical Sciences, Chinese Academy of Sciences, proposed a ...

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

Some cybersecurity researchers say it’s too early to worry about AI-orchestrated cyberattacks. Others say it could already be happening.

The daily podcast round-up is just one way the Times is adopting in-house AI transcription and summarization tools.

Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .