In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...
Zero-reliance financial automation is a development in which loss of one point does not extend to the other payment network, ...
SANTA CLARA, CA - February 05, 2026 - - Interview Kickstart today announced the launch of its Advanced Machine Learning Program, a specialized interview preparation track designed for engineers and ...
Non-terrestrial networks have their own challenges that cellular networks didn't have. Will AI help solve them dynamically?
The Satu Mare project is a utility-scale solar plant owned and operated by Shikun & Binui Energy. Under the agreement, DeepSolar will provide continuous analytics and performance monitoring designed ...
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 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 ...
A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of the technical foundations, deployment areas, clinical ...
Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized energy management. Yet as renewable penetration rises, maintaining stable ...
CANOPY reports AI will transform the workplace by 2026, enhancing productivity, reshaping culture, and requiring new skills and roles.
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.
Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...