Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

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

How Are Non-Human Identities Revolutionizing Cybersecurity? What role do Non-Human Identities (NHIs) play in strengthening cybersecurity frameworks across diverse industries? With digital ...

The F-35's AI-enhanced identification capability is blending sensor fusion with machine learning to classify unknown contacts ...

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.

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...

How Can Organizations Securely Manage Non-Human Identities? Have you ever considered how important it is to manage machine identities within your organization’s cybersecurity framework? Non-Human ...

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.

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

AI agents have massive potential, but businesses still working to secure their human and machine identities are hesitant to embrace them with open arms. To move forward safely, it’s important to look ...