Artificial Intelligence for Design and Engineering Workflows

In this white paper, learn how artificial intelligence and machine learning can improve design and simulation.

As products become more complex, design and engineering workflows must evolve to help companies meet market demands to create innovative designs on a much faster timetable. The emergence of new types of materials, increased regulatory pressures around efficiency, sustainability, and lightweighting, and the use of new manufacturing approaches like 3D printing have also created new challenges when it comes to engineering.

Technologies like artificial intelligence (AI) and machine learning (ML) can help accelerate design and simulation processes by helping engineers discover novel solutions, take advantage of large amounts of existing simulation data, and improve final designs. Design and simulation software vendors are beginning to incorporate AI and ML into their solutions, taking advantage of powerful new engineering workstations equipped with modern GPUs that offer a massive upgrade in computing horsepower.

In this paper, we will explain how AI is being incorporated into design and engineering solutions and workflows, and how new workstations and high-performance computing (HPC) solutions are enabling engineers to effectively tap into these capabilities.

Download today

Latest News

InnovMetric Releases PolyWorks 2024
Reduces the cost of measuring in 3D by improving global dimensional management process.

Endeavor 3D Integrates Materialise’s CO-AM with HP Tech
Endeavor 3D moved to digitally transform its processes by implementing the Materialise CO-AM Software Platform to power its 3D printers...

Tech Soft 3D Buys Actify SpinFire Business
Acquisition secures Tech Soft 3D's position as provider of CAD data translation, visualization and collaboration tools for application developers and...

View a Live XR Broadcast in Apple Vision Pro?
XR, VR apps emerge to augment live events.

Investing in Success: How Training Programs Shape a Culture of Employee Retention
Customized training empowers employees, making them feel valued and engaged, ultimately enhancing retention rates.

Mercedes-Benz Funds Educational Initiatives in AI, Automated Driving at Universities
UC San Diego’s 3D imaging research allows Mercedes-Benz R&D North America (MBRDNA) to tap into the institutional research...

All posts