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 ...

A blood sample does not have an obvious odor to a person in a lab coat. But to an electronic nose, it can carry a chemical ...

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

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 ...

Overview:Practical projects can help you showcase technical skill, programming knowledge, and business awareness during the ...

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.

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 ...

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 ...

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

In retinal disease screenings, artificial intelligence can help deliver diagnoses earlier, giving physicians more time to preserve vision.