Helping design and engineering professionals discover, evaluate and specify technologies and processes that shorten the design cycle and enable success.
Alert!
Digital Engineering ceased publication on July 1, 2026. This website remains available as an archive of engineering content.
For inquiries or information, please email [email protected].
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.
What Is Intelligent BOM Management? A Guide to Smarter Product Development
Learn how intelligent Bill of Materials (BOM) management helps teams collaborate, reduce errors, and bring innovative products to market faster with cloud-based PLM tools.
NVIDIA today announced that it has named The Johns Hopkins University a CUDA Center of Excellence, recognizing its work leveraging NVIDIA GPUs and NVIDIA CUDA technology to drive education and research programs across a range of scientific disciplines. As a CUDA Center of Excellence, Johns Hopkins will utilize GPU computing equipment and grants provided by NVIDIA to support a number of research and academic programs.
According to the company, the CUDA Center of Excellence program rewards and fosters collaboration with leading institutions that are at the forefront of parallel computing research. Johns Hopkins joins an network of 12 institutions around the world that are advancing awareness of parallel computing, and empowering academics and scientists to conduct research.
University researchers in the field of data-intensive computing, have been working to address a bottleneck to transformative scientific discovery "researchers inability to analyze in a timely manner the massive amounts of complex data generated by instruments and simulations. They are leveraging the processing power of GPUs to speed up data analysis across multiple fields, including astrophysics, fluid dynamics, genomics, life sciences, medical imaging, and numerical simulation, among others.
For more information, visit NVIDIA and The Johns Hopkins University.
Sources: Press materials received from the company and additional information gleaned from the company's website.
DE's editors contribute news and new product announcements to Digital Engineering. Press releases may be sent to them via [email protected].
Follow DE
About Us · Contact Us · Editorial Team · Advertising · Privacy Policy · Subscriber Services · © 2026 Digital Engineering 24/7 · Peerless Media