Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This evolution unites physical and cyber domains, improves situational awareness, and ...

Researchers at Tohoku University and Future University Hakodate have trained cultured rat cortical neurons to perform ...

Real-world scientific research, for example, iteratively improves through learning in the design-build-test-learn loop (on the right). On the left, active re-learning from expert human knowledge in ...

Artificial intelligence is increasingly used to support decision-making in fields such as healthcare, cybersecurity, finance, and public services. However, many existing AI systems remain difficult to ...

Susan Schniepp, Regulatory Compliance Associates Inc., discusses digital twins and AI in pharma, focusing on data integrity, human-in-the-loop roles, and evolving machine learning risks. In part 1 of ...