In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

A new international study suggests most clinical artificial intelligence (AI) tools are not yet ready for safe, equitable use ...

Non-terrestrial networks have their own challenges that cellular networks didn't have. Will AI help solve them dynamically?

Zero-reliance financial automation is a development in which loss of one point does not extend to the other payment network, ...

The next era of lending will be defined by companies that operationalize AI with discipline, building in strong governance, ...

Aptiv and Vecna Robotics have collaborated on the joint development of next-generation autonomous mobile robot (AMR) systems ...

How Can Non-Human Identities Revolutionize Cybersecurity? Have you ever considered the challenges that arise when managing thousands of machine identities? Where organizations migrate to the cloud, ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis ...