Accelerated Design Innovation Digital Issue

Our coverage of immersive design, design complexity, mobility, digital disruption, collaboration, and increased productivity is divided among five stages of the product development cycle.

The Advanced Product Development Resource Center (APDRC) is an ever-growing repository of information to help design engineering teams capitalize on the use of today’s most advanced computing, design, simulation and visualization technologies. Produced in partnership with Dell and NVIDIA, the APDRC highlights how these technologies can be applied across the design cycle.

The articles in this special issue were selected to help guide you through the process of optimizing your workflow for specific design engineering tasks. By configuring your computing hardware to match the engineering design software you use, you can boost productivity and focus on innovation.

Topics include accelerated rendering and visualization, 3D scanning, new innovations in digital twin technology, and more.

Visit the resource center at APDRC.com for the latest developments on technological advances, videos, white papers and more from DE, Dell and NVIDIA.

Download today

Latest News

Massivit 3000 Large-Format 3D Printer Launches
The new printer enables high-speed production of 3D window displays, 2D/3D combined point-of-purchase displays, interactive event props, and molds...

Indy Autonomous Challenge to Returns to Indianapolis Speedway
Race set to feature a head-to-head race of possibly the fastest autonomous racecars piloted by artificial intelligence driver software, organizers...

Desktop Metal Releases Binder Jet 3D Printing Upgrade
The Production System P-1 metal binder jet 3D printer will be offered with a Reactive Safety Kit for high-speed production...

MathWorks Advances Software-Defined Workflows with NVIDIA’s Help
Developers can use their existing MATLAB Algorithm Codebase to develop and deploy AI-enabled applications via the NVIDIA Holoscan platform.

AI in Design: In Need of New Hardware
New hardware options are emerging to support artificial intelligence use cases.

Can AI Eat Itself?
Looks like synthetic training data is here to stay—it's something engineering organizations should keep a close eye on.

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