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

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

AI agents lack independent agency but can still seek multistep, extrapolated goals when prompted. Even if some of those prompts include AI-written text (which may become more of an issue in the ...

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 ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.

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

On Safer Internet Day, a call to action to counter the use of artificial intelligence to produce sexualized content involving children.

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

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 ...