Reliable Industrial Robotics Requires More Than Smart AI Algorithms
Robotics researcher Ilknur Umay explains why physical AI, real-time feedback, and an understanding of robot limitations are essential for scalable industrial automation.
AI-Powered Drawing Checklists Improve Construction Document Quality
Standardized QA/QC procedures and AI-assisted drawing reviews help architects and engineers identify documentation errors, verify code compliance, and improve project coordination.
AI Sketch-to-CAD Tools Face Challenges in Engineering Accuracy
An evaluation of five AI-powered design tools reveals the limitations of automated 3D modeling and the importance of engineering context, precision, and manufacturability.
AI-Driven FEA Optimization Accelerates Engineering Design
Combining machine learning, surrogate modeling, and simulation helps engineers explore more design alternatives, reduce weight, and improve structural performance.
Cadence Expands Beyond Chip Design Into Multiphysics Engineering
Integrating electronic design automation, mechanical simulation, AI, and digital twins could help engineers optimize entire systems, from silicon to data centers.
