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

MecSoft Releases RhinoCAM 2024, VisualCAD/CAM 2024
VisualCAD/CAM 2024 is the completely independent CAD and CAM solution from MecSoft.

Prototyping Solutions Partners with Meltio
This strategic alliance positions Prototyping Solutions as an authorized partner of Meltio, enabling the company to offer 3D metal printing...

Global Data Preparation Tools Market Expected to See Great Growth by 2031
Market anticipated to grow at a CAGR of 18.1%, according to Straits Research.

Aras Enables Digital Thread for Visual Tech Manufacturer EIZO
EIZO will be able to track products and their digital assets across the entire product lifecycle.

CETOL 6σ v11.5 3D Tolerance Analysis Software Now Available
CETOL 6σ v11.5 tolerance analysis software adds improved support for inseparable assemblies and ease of use.  

2D CAD Remains Popular for Mechanical Design 
Cost savings associated with 2D CAD software versus costs of 3D modeling keeps 2D CAD in the mix for smaller...

All posts