New integrations between Python and MATLAB’s Simulink platform are enabling engineers to coexecute Python models, automate VLSI workflows, and bridge AI-driven design with traditional simulation.

Scientists are blending physics-informed AI with supercomputing to model plasma turbulence more accurately and efficiently. These breakthroughs could improve predictions for fusion reactors, ...

Understanding the universe as a whole requires simulations on cosmic scales. An international team of astrophysicists, with a ...

Scientists have created a powerful new way to control quantum systems, achieving the first-ever demonstration of ...

Now, artificial intelligence (AI) tools are providing powerful new ways to address long-standing problems in physics. “The ...

AI excels at correlations but lacks physical intuition, creating gaps in real-world reasoning and reliability.

From AI literacy & cybersecurity awareness to leadership & sustainability, here's what engineers must master to thrive amid ...

A higher form of simulation, digital twins collect data to create accurate simulations that display the operation, potential failures, and possible future maintenance issues in manufacturing equipment ...

AI video generation is becoming a table-stakes feature for modern digital platforms. The developers who integrate it now are ...

Researchers from Skoltech and the Shanghai Institute of Optics and Fine Mechanics have developed an approach that helps ...

From its earlier days gaining traction with anesthesiologists, simulation is now a mainstay of medical education that helps ...

NVIDIA has announced a new family of open models called NVIDIA Ising, designed to address quantum processor calibration and ...