May 23, 2024
One of the biggest hurdles in using an STL mesh model for a downward manufacturing application is the lack of geometry feature information in the STL file.This webinar will demonstrate how machine learning techniques can be applied to extract geometrical information from mesh models; and explain the process of building machine learning models, feature engineering for mesh data, and parameter tuning. We will also demonstrate how to use AWS cloud infrastructure such as GPU computing for big data and AWS Lambda for fast online predictions.
March 5, 2024
The critical need for organizations to embrace digital transformation, particularly by migrating legacy MFC and C++ desktop applications to cloud-based platforms. The challenges posed by monolithic architectures in traditional desktop applications, which limit scalability and data accessibility. Migrating to a microservice architecture not only resolves these issues but also opens up new opportunities for leveraging advanced technologies like AI and generative design.
August 3, 2022
CAD configurators is an online tool that makes choosing the best software for your needs simple. They provide an easy and efficient way to configure products as per your requirements. However, they lack cost-efficiency as they are tied to desktop CAD software and its licensing policies.
May 5, 2022
One of the biggest hurdles in using an STL mesh model for a downward manufacturing application is the lack of geometry feature information in the STL file. This webinar will demonstrate how machine learning techniques can be applied to extract geometrical information from mesh models; and explain the process of building machine learning models, feature engineering for mesh data, and parameter tuning. We will also demonstrate how to use AWS cloud infrastructure such as GPU computing for big data and AWS Lambda for fast online predictions.