Making the Case for Artificial Intelligence and Machine Learning in Engineering

In this paper, learn how AI and machine learning can improve design and simulation workflows.

Product design workflows are rapidly evolving. Machines, products, and components have become increasingly complex with addition of new materials, sensors, electronics, wireless capabilities, and embedded software. Designers are under pressure to meet the demands of both the market and regulators when it comes to weight, safety, sustainability, and other factors. In addition, the role of simulation has evolved from a specialized task conducted at set points during product development to a more democratized process that takes place throughout the design lifecycle. 

Manual, linear design processes simply cannot keep up with demand for engineers to iterate more frequently and in less time. Conventional engineering and design software products can help by automating or accelerating certain functions, but creativity and innovation are still severely limited by time constraints and a lack of technical expertise in domain-specific activities.

Artificial intelligence (AI) and machine learning (ML) can help clear this bottleneck. With engineering software that incorporates AI/ML functionality into design and simulation processes, organizations can accelerate workflows, provide improved insights, and improve final designs.

In this paper, Siemens Digital Industries Software and Digital Engineering will provide an overview of how AI/ML-enabled software can improve design workflows, while also addressing common questions and concerns around implementing this technology in an engineering organization.

Download today

Latest News

DE Summit Highlights AI, Digital Twins, 3D Printing
First speakers announced for Digital Engineering Design & Simulation Summit 2024.

America Makes Announces Winners of PADAM Project
The project is designed to establish data-driven methods for applying the best attributes of novel AM metal materials. 

AMD President Peng Set to Retire
He will continue to serve on the AMD executive team in an advisory role and support the transition until his...

NVIDIA AI Foundry Builds Custom Llama 3.1 Generative AI Models
NVIDIA AI Foundry offers generative AI model service spanning curation, synthetic data generation, and evaluation to deploy custom Llama 3.1 NVIDIA...

Digital Twin Consortium Members Deploy Multi-Agent Gen AI Systems
Use cases of digital twin multi-agent generative AI systems deliver value, consortium notes.

Quickparts Launches Online Tool for Volume Manufacturing
This tool, available through the Quickparts portal, QuickQuote, caters in particular to customers with large-scale or complex projects.

All posts