Helping design and engineering professionals discover, evaluate and specify technologies and processes that shorten the design cycle and enable success.
August 15, 2017 · Standard crash test dummies weren’t optimal for testing the automated braking systems.
July 20, 2017 · In this LIVE roundtable, DE’s Kenneth Wong moderates a panel of experts to discuss the state of self-driving vehicles today.
June 8, 2017 · VIRES will be fully consolidated as part of the acquisition.
March 28, 2017 · The ADAS IIT (Innovation in Test) collaboration plans to create a scalable, future-proof ADAS test solution based on the National Instruments hardware and software platform.
January 16, 2017 · Autonomous vehicles, 3D printing and new computing user experiences lead the CES tech news for engineers.
January 12, 2017 · Major automakers are debuting the latest advances to showcase the future of mobility.
January 3, 2017 · The proposed rule would help standardize vehicle-to-vehicle communication.
October 27, 2016 ·
September 22, 2016 · The mandate called on the states to come up with a uniform set of policies.
September 15, 2016 · The vehicle is connected to IBM's Watson.
August 1, 2016 · First self-driving car fatality shines spotlight on the gap between robotic capabilities and perceptions.
July 1, 2016 · The companies want to develop solutions for fully automated driving by 2021.
June 28, 2016 · Michigan tries to grab the mantle for leadership in connected and autonomous vehicles, a market predicted to reach 129 million vehicles sold between 2020 and 2035.
October 9, 2015 · Researchers are working to outfit a small fleet of carts to navigate themselves with laser technology.
June 24, 2015 · The company is working on autonomous vehicle technology and smartwatch applications.
December 4, 2001 ·
December 4, 2001 ·
December 4, 2001 ·
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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