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The process of materials discovery is complex and iterative, requiring a level of expertise to be done effectively. Materials workflows that require human judgement present a specific challenge to the discovery process, which can be leveraged as an opportunity to introduce digital technologies.
As industries rapidly advance in AI/machine learning, a key to unlocking the power of these approaches for companies is an enabling environment. Domain experts need to be able to use artificial intelligence on data relevant to their work, but they should not have to know computer or data science techniques to solve their problems. An environment which enables the domain expert to easily and intuitively label data and train models will allow AI to become truly ‘applied.’ The above image shows a series of fault planes predicted by our approach in the SubsurfaceAI Seismic application, created with ‘applied machine learning’ in mind. Learn More.
In this blog article Enthought Energy Solutions Vice President Mason Dykstra looks at the recently published book titled “Real World AI: A Practical Guide for Responsible Machine Learning” in the context of both the technical challenges faced by geoscientists and how to scale.
A microseismic event loaded from the Frontier Observatory for Research in Geothermal Energy (FORGE) distributed acoustic sensing (DAS) data into a Jupyter notebook showing energy from a microseismic event arriving at about 7.5 seconds. These microseisms bring information about the process of stimulation. However, in the data set there are relatively few and they are hard to find without specialized processing. Connecting hard-to-get SEG-Y data to easy-to-develop Jupyter notebooks promises to drive innovation in new AI/ML methods for detecting more microseisms and therefore, increasing the value of the existing data.
Join the 2021 GSH Geophysics in the cloud competition. Build a novel seismic inversion app and access all the data on demand with serverless cloud storage. Example notebooks show how to access this data and use AWS SageMaker to build your ML models. With prizes.
Key points are presented from the first of a series of LinkedIn articles where JSR Board Chairman Mitsunobu Koshiba provides thought provoking insights on business strategy in the context of trends in three time horizons. The short term is dominated by an increased acceptance of Modern Monetary Theory. The mid-term is a shift in the attitude to globalization from general cooperation to one of a battle for technological domination with accelerating advances. Long term holds a risk for geopolitical recession and China challenging the global economic hegemony of the dollar. Throughout all, technology is advancing at an accelerating pace.
To have a transformative impact, labs must reinvent workflows through digital technologies and skills, adopting a strong data culture. Innovation through digital-centric systems confidently produces new materials that meet customer specifications orders of magnitude faster than before, enabling broader business transformation.
The Digital Maturity Report uses a matrix to evaluate organizations digital maturity, determining whether they are lagging, competitive or leading based on the 5-core elements of Digital Maturity; Digital Strategy, Digital Skills, Digital Tools, Data & Data Flow, and Data Infrastructure.
Author: Ryan Swindeman, Scientific Software Developer
An effective, ‘at-home’ whiteboard solution needn’t be complex. A simple set-up is all, using a phone, held above a piece of paper (use books, boxes, or a stand to adjust the height of the phone). A lamp ensures the paper is lit sufficiently to be seen on a screen.