Helping design and engineering professionals discover, evaluate and specify technologies and processes that shorten the design cycle and enable success.
August 11, 2016 ·
August 11, 2016 ·
August 11, 2016 ·
August 11, 2016 ·
July 14, 2016 · Learn about the Autodesk Fusion 360 App of the Month.
July 14, 2016 · Learn about optimization algorithms in Simscape Electronics.
July 14, 2016 · Mouser Electronics and Marvel team up to bring engineering gadgets to life from Captain America: Civil War.
July 14, 2016 · How HP Enterprise is helping the automotive sector develop new services for customers.
July 8, 2016 · Looking for something to do with all those old floppy drives you have lying around?
June 23, 2016 · See how five teams of engineers assembled a car in a day at this year's LiveWorx.
June 23, 2016 · Get a look at the new integrated simulation environment.
June 23, 2016 · A collaboration with 3D Systems helps reduce costs and shop time savings.
June 9, 2016 · See a simulation of the new NSX and how its airflow pattern keeps the car cool.
June 9, 2016 · The mobile systems increase collaboration and communication across multiple locations.
June 9, 2016 · Learn about some of the main terminology, hardware and best practices.
May 13, 2016 · AxisLab not only provides prototyping services, but also helps kids around the world receive low-cost prosthetics for everyday use.
May 13, 2016 · See how the organization uses AR to plan its Curiosity Rover missions.
April 14, 2016 · Get an overview of ANSYS' simulation capabilities for the next generation of products.
March 21, 2016 · Get an overview of various MSC Adams applications.
December 11, 2015 · Researchers at MIT have found a way to integrate electronics into a hydrogel material that is 90% water.
May 2026 Special Focus: Artificial Intelligence in Design and Simulation
In this Special Focus Issue, learn about the latest developments in the integration of artificial intelligence into engineering workflows.
Cut Retrieval-Augmented Generation (RAG) Hallucinations by 50%
Most teams hit the same wall with enterprise AI: LLMs that hallucinate, pipelines that don’t scale, and infrastructure that’s harder to design than the models themselves.
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