Facing AI challenges for AM together

There are many ways to use Artificial Intelligence (AI) for Additive Manufacturing (AM). Creating a deep machine learning system, however, is not straight forward. Maud Chidiac, AI Program Manager at AMEXCI, explains why AMEXCI started the Rosetta Protocol, and why it is crucial that various stakeholders come together to crack the code.   

Machine learning algorithms require large amounts of data before they can begin to perform powerful results. The Rosetta Protocol initiated by AMEXCI in May of 2020 is about joining forces between AM data users and collecting different types of complementary metal L-PBF monitoring datasets. 
– The main challenge companies have in common is to obtain a diverse, consistent, and robust dataset to train a machine learning model. We hope that our partners would like to join the Rosetta Protocol and take part in a mutual exchange of non-critical monitoring data to cover all possible use cases, says Maud Chidiac. 

Once these raw data are gathered as main material for training an algorithm, the next question is – what to do with it? While most industry players have different strategies for their AM data, one common challenge is to define the right scope based on those datasets. For a year, AMEXCI has done the groundwork – exploring the possible areas of AI applications in the AM workflow, defining a data collection strategy and limiting the scope. Focus areas could be design data, simulation data, testing data, and monitoring data. The key is to think big but start concrete. 
– The scope we chose is to focus on the findings from our in-house monitoring systems to try and figure out what they can say about errors occurring during a print. Since we all struggle in this quest of decrypting our monitoring and AM workflow data, we believe that opening up the dialogue between AM data users could be a positive development for the industry, says Maud Chidiac.

Building on complementary AI approaches 

Participation in the Rosetta Protocol will not be limited to data sharing only but will give participants the opportunity to share experiences based on their specific approach. 
– No matter the way companies explore machine learning for AM, we will build on our complementarities. Participating companies will have access to a forum where they can share their challenges with others. We want to be the driving force in making this joint initiative beneficial to our individual AI journeys, says Maud Chidiac.

Related Posts

Archives

We are using cookies to give you the best experience. You can find out more about which cookies we are using or switch them off in privacy settings.
AcceptPrivacy Settings

GDPR

  • Cookies
  • Personal Data
  • Data collection
  • Use of Personal data

Cookies

We use cookies to improve the quality of our service and to better understand how people use our website. We do this by storing user preferences in cookies and by tracking user trends and patterns of how people navigate our site.

You can set your browser to refuse all cookies or to indicate when a cookie is being sent. However, some features or services on our website may not function properly without cookies.

Personal Data

Any personal data for example; (your name, telephone number or e-mail address) that indirectly or directly identifies your personally (“Personal data”) and which you transmit to our website (“the site”) by electronic mail or otherwise communicate to AMEXCI, will be handled by AMEXCI in accordance with the present privacy policy (“Privacy Policy”). Personal data can also include information that is available on the internet or publicly available information that we acquire from other services.

AMEXCI is committed to protecting your Personal data. This Privacy Policy outlines the information we collect and how we use that information. The Privacy policy is applicable to the sites of AMEXCI, its subsidiaries, affiliates, licensor or joint venture partners. AMEXCI AB is the controller of the Personal data processed. This Policy is designed to help visitors understand what information we gather from our Site, how we handle the information once we gather it and how to contact us of any questions regarding our processing of the data.

Data collection

You are free to explore our Site without providing any Personal data about yourself. When you visit the Site and register yourself through any form, we may request you enter your Personal data about yourself. This is used to provide you with requested information.

Use of Personal data

When you do provide us with Personal data, we use that information for the following purposes.:

  1. We store and process that information to better understand your needs and how we can improve our services.
  2. We (or fulfillment house on our behalf) use that information to contact you.

 

We do not now or in the future intend to sell, rent or market Personal data about you to third parties.

Sign up to our Newsletter

In this rapidly growing industry we see so many great news worthy of sharing. In this newsletter we will update you on the latest Additive Manufacturing news such as new technologies, innovative products or industry collaborations.

You can unsubscribe at any time by clicking the link in the footer of our emails. For information about our privacy practices, please visit our website. We use Mailchimp as our marketing platform. By clicking to subscribe, you acknowledge that your information will be transferred to Mailchimp for processing. Learn more about Mailchimp’s privacy practices here.