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

Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI that can diagnose cancer from low-resolution images—depends heavily on model ...

Abstract Model robustness indicates a model's capability to generalize well on unforeseen distributional shifts, including data corruptions and ...

The YOLOv8 and Swin Transformer dual-module system significantly improves structural crack detection, offering a faster and ...

Raghab Singh’s research advances structure-first AI models for healthcare, combining molecular geometry and language ...

CARY, N.C., Feb. 5, 2026 /PRNewswire/ -- SAS, a global pioneer in data and AI, today announced that it has been named a Leader in the inaugural 2026 Gartner (R) Magic Quadrant (TM) for Decision ...

Manufacturers are embedding digital systems in design, production and service operations to address multiple business and technology challenges, according to a new research report published today by ...

Clutch’s Fall Global Ranking Highlights Leading Software Development Firms for Businesses Looking to Drive Digital ...

Operations are rapidly evolving amid AI adoption, shifting job categories and responsibilities in the process. CIOs can rely ...

Praxis Solutions ("Praxis") and ATTOM today announced the completion of a strategic initiative led by Praxis focused on identifying and prioritizing AI-driven growth opportunities that expand and ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.