Read more about Quantum machine learning shows promise for adaptive learning, but classrooms are not ready on Devdiscourse ...

The integration of ORCA Computing's photonic quantum processors with SiC Systems' SiC Suite and their model-based agentic 'hives' platform creates a hybrid quantum-classical high-performance computing ...

Researchers in the UK have developed a new AI-based training method that helps robots ...

Robots are trained for specific tasks, such as cutting, using simulation. However, collecting real-world data is expensive, ...

When introducing new vehicle models, each launch can demand extensive reconfiguration of existing production lines. Timing is critical and every delay carries a significant cost. Digital twin ...

Three Tarleton State University faculty members have been recognized at the Texas Innovation Conference Awards for their leadership in translating research into ...

Smarter medical training: AI-driven tools are enabling personalized instruction, adaptive assessments, and realistic simulations that better prepare healthcare professionals for complex clinical ...

In 2026, labor shortages and rising costs are accelerating the adoption of AI-powered robotics, cobots, and predictive maintenance. From generative AI in programming to IT-OT convergence, ...

Dr. Yannik Zobus, a laser physicist at GSI/FAIR in Darmstadt, is head of the LASE-FUSE (LAser Simulation for Enhanced FUSion Efficiency) Young Investigators Group since May 1, 2026. As part of the ...

A new AI-based method co-developed by Aston University's Dr Alireza Rastegarpanah could revolutionise the way advanced robotic systems are trained ...

Learn how automated Voice AI scales business operations, reduces costs, and enhances customer satisfaction with 24/7 ...

ORNL's Rama Vasudevan helped pioneer machine learning to interpret complex microscopy data. Today, that work supports ...