Want to receive new editions of our Newsletter straight to your inbox? Click here to subscribe!
Press release: Intellegens and Ansys to empower additive manufacturing through machine learning
Machine learning methods will be integrated into additive manufacturing workflows to accelerate the development of reliable and repeatable processes. Intellegens is working with engineering simulation leader Ansys to embed Alchemite™ deep learning technology into the Ansys materials data management platform, Granta MI™ for AM applications. For Granta MI™ user organisations this will provide an extra option to apply the power of Alchemite™, while combining the benefits of both solutions.
Case study with Matmatch
This case study describes the ability of Alchemite™ to populate missing material property data and add significant value to the services of materials data publisher Matmatch. It also shows that Intellegens’ machine learning tools were easily integrated with Matmatch’s systems and that their data scientists could effortlessly build complex models of multi-dimensional data with Alchemite™ software.
Watch the recording of our recent webinar!
Find out how machine learning methods are being applied to solve key problems in the design, characterization, and processing of metal alloys and other advanced materials, with a case study from an additive manufacturing (AM) project involving Intellegens, the AMRC, and Boeing.
Original broadcast: 23rd February 2021
Alchemite™ has a new look
We have updated the Alchemite™ Analytics user interface to match its excellent performance!
Want to find out more? Request a demo in the link below:
Digital manufacturing technologies for the chemicals using industries
Attend this event to explore how digital technologies can be used to deliver improved efficiencies and increased productivity in scale-up and at-scale manufacturing.
Don’t miss our video presentation!
We are hiring
We are looking for a Sales Executive, Deep Learning Scientist, and a Computer Scientist. Learn more about the roles here.