Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Researchers at the University of California, Santa Cruz have trained lab-grown brain organoids to solve a goal-directed task, ...

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce MacFadden, UF Distinguished Professor Emeritus and retired curator of ...

AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...

For readers who may just be hearing about HeartBeam, explain to us what clinical problem you are trying to solve and why hasn’t that been able to be solved with existing cardiac monitoring tools? Mr.

In an era where artificial intelligence (AI) and machine learning (ML) are driving unprecedented innovation and efficiency, a new class of cyber threats has emerged that puts sensitive data and entire ...

Large Language Models (LLMs) are the industry’s closest friends. They are our best friends, even if they are seen as disruptors, making the scene volatile. They are a learner’s paradise. With the risk ...