Explore the recent advances in fuzzing, including the challenges and opportunities it presents for high-integrity software ...

Read more about Deep learning and AI unlock new era of solar energy forecasting and performance on Devdiscourse ...

Analytical AI ranks risk, flags anomalies and analyzes test failures for automation stability and defect triage, while GenAI ...

Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...

TechForce Robotics contributes to this evolution by embedding AI-driven SOP intelligence and real-time monitoring into its robotic systems. This enables compliance to function as an integrated, ...

A convergence of DFT techniques and the proliferation of in-silicon monitors can flag potential failures before they occur.

Cloud-based virtualization, real-time data synchronization, and scalable AI/ML deployment can modernize the testing landscape ...

A new research survey examined which FFF settings, materials and controls truly matter for the best part performance.

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

While precision seems critical for science, researchers from the U.S. Department of Energy's (DOE) Brookhaven National ...

Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...

Researchers at the University of Florida are developing artificial intelligence models to pinpoint early signs of sinkholes ...