Helping design and engineering professionals discover, evaluate and specify technologies and processes that shorten the design cycle and enable success.
March 11, 2021 · Hungarian university creates mass-ventilator prototype that can keep up to 50 people alive simultaneously.
August 26, 2020 · The car giant is expanding its use of AM for tooling applications, including fast change-over of production lines to fulfill a government contract for ventilators and PPE.
July 31, 2020 · Designers and engineers rethink ventilator functions, prototyping and production.
July 1, 2020 · Three finalists selected from more than 200 entries
May 27, 2020 · In Video News Roundup for May 29, 2020, the Covent-19 ventilator design challenge enters phase II, 3D printing and scanning firm Prototek helps restore Florence Baptistery cathedral door, Autodesk Fusion 360 adds 3D printing tools, 3D Heals virtual conference set for June
April 23, 2020 · Carmakers begin manufacturing ventilators, MakerBot joins PPE drive, AM education continues under lockdown
April 2, 2020 · GrabCAD, StrataSys, Ximedica launch design challenge to address ventilator shortage
March 26, 2020 · Tech conferences switch to virtual events under lockdown, additive manufacturers spring into action to fight virusoutbreak
March 25, 2020 · As automaker consider how to address the shortage of ventilators in the Coronavirus outbreak, industry veterans share their thoughts on the struggles and challenges
March 25, 2020 · As automakers consider how to address the shortage of ventilators in the Coronavirus outbreak, industry veterans share their thoughts on the struggles and challenges. Join us for this podcast with CIMdata's Keith Meintjes and industry consultant Joe Barkai.
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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