In the lower part of the figure, it can be seen that L2O leverages on a set of training problem instances from the target optimization problem class to gain knowledge. This knowledge can help identify ...

Wenye Ji et al, Recent advances in metasurface design and quantum optics applications with machine learning, physics-informed neural networks, and topology optimization methods, Light: Science & ...

Modern semiconductor chip design faces growing complexity due to numerous timing scenarios driven by varying operating conditions and physical effects. This complexity is especially pronounced in ...

Brake-by-wire systems are becoming a core technology for intelligent electric vehicles, but their performance depends heavily ...

Achieving cost-competitiveness for green hydrogen produced via water electrolysis using intermittent renewable energy sources remains a significant challenge. Researchers from LUT University in ...

As integrated circuit (IC) designs continue to scale, the demand for efficient power management, performance optimization and reliable physical layout modification grows more critical. Meeting these ...

PhysicsX’s LGM-Aero AI-based analysis tool predicts performance of new shapes. Credit: PhysicsX Numerical simulation has become an essential part of aircraft design, from aerodynamics and structures ...

Why has analog design been a manual process? How artificial intelligence is improving the EDA process. The use of artificial intelligence (AI) has gained significant traction in many domains of EDA, ...

Associate Professor, Director of the Microscopy and Cytometry Core Facility at Amsterdam UMC and Co-Director of the Immune Monitoring Unit at the Amsterdam UMC Immunotherapy Center Multiplexed ...

Cadence, a maker of chip design software, and Intel Foundry will collaborate on "Design Technology Co-Optimization" in a multi-year agreement beginning with Intel's upcoming 14A semiconductor ...