Helping design and engineering professionals discover, evaluate and specify technologies and processes that shorten the design cycle and enable success.
March 2, 2017 · The new VOLTA platform, an evolution of its SOMO (Service Oriented Multidisciplinary Orchestration) offering, is a web-based collaboration environment designed to help enterprise engineering organizations leverage knowledge and processes.
February 20, 2017 · Parallel Works, a startup spawned by the University of Chicago and Argonne National Labs, is the latest to bet on the SMB supercomputing market.
February 14, 2017 ·
February 14, 2017 · The partners plan to explore new developments in thermoplastic materials with the goal to lower wind turbine production costs, improve recyclability and expand applicability.
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February 12, 2017 · The $834 million deal, the biggest for Hexagon since it snapped up engineering software provider Intergraph for $2.1 billion in 2010, was positioned as a move to create a portfolio of offerings that connect design and production.
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January 19, 2017 · The Internet of Things (IoT) promises to turn test and measurement on its head as companies retool their strategies for the era of smart products.
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January 2, 2017 · The SimScale Academy platform offers on-demand courses in engineering simulation along with free access to the software.
December 30, 2016 · The new Ford “Weather Factory,” to be based in Cologne, Germany, will allow automotive engineers to choose a weather pattern representing the most demanding conditions found around the world.
December 29, 2016 · GVRA’s mission is to develop and share best practices in VR use cases and applications, conduct on-going market research and coalesce an emerging global VR community.
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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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