AI is the new electricity
Machine Learning and AI for material science
Technological advances have ignited an interest in artificial intelligence over the past years. These developments allow researchers to better automate their research and to identify relations that would in the past be buried under huge amounts of data.
Material Pioneers strives to map out a way through the available methods and frameworks, thereby making machine learning and artificial intelligence available to scientists in materials research without requiring expert knowledge in computer science fields.
3 reasons to work with Machine Learning:
- It can reveal trends that are important to your work
- It can help you managing your data sets
- It can tell you what research you should be reading
Developing new materials with Machine Learning
We interviewed Miguel Bessa, developer of a super compressible but strong material designed by using Artificial Intelligence (AI) only. His achievement is proof that Machine Learning and Artificial Intelligence can highly contribute to the development of new materials.
One of the most exciting tools that have entered the material science toolbox in recent years is machine learning
Tools and Resources
Repositories for datasets
Provide developers and data scientists with the broad range of productive experiences for faster development, training and implementation of machine learning models.
Provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.
It removes most of the complexity related to ML, it provides you with interpretable and exportable models, it is programmable and repeatable.
Developers platform enabling collaboration within teams and integration with several tools.