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

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

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, ...

Know how AI algorithms identify wash trading and artificial volume on Web3 exchanges. Learn about machine learning techniques ...

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 signature that points toward disease.

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...

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 ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Tathagato Rai Dastidar is a technology visionary with 25+ years of experience shaping AI, big data, and computer vision solutions. He serves as the Founder and ...

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.