Articles by the Enthought community, at the intersection of digital transformation and science.
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. Author: Ben Lasscock, Ph.D., Manager, Strategic Technologies, Energy Solutions …
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The EnergizAIR Infrastructure framework and key interfaces, with the Enthought responsibility on the project shown in the central, grey box. The ultimate project goal was to raise individual awareness of the contribution of renewable energy sources, and ultimately change behaviors. Now ten years later, with orders of magnitude more data, AI/machine learning, cloud, and smartphones …
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As in 2020, this year’s SciPy Conference will be virtual, offering increased opportunities for attendance. 2020 set an attendance record of over 1,500, almost double the 2019 Austin, Texas conference. The event brings together attendees from industry, academia, national labs and more – showcasing projects, sharing knowledge and collaborating on code development. Author: Kristen Leiser, …
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Key points are presented from the first of a series of LinkedIn articles where JSR Board Chairman Mitsunobu Koshiba (‘Nobu’) 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 …
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Taken from the webinar, the frequent strategy of digitalization-layering digital tools and technology onto existing processes-provides incremental value, which soon flattens out. At the other end, companies born with digital DNA (for example an Amazon) are capable of incredible innovation and adaptation. The reality is, most companies must transform to develop digital DNA. Applied digital …
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Image: A key role of materials and chemistry R&D researchers is to invert the primary function of their labs – that of creating materials from chemical structures, formulations and processes – to one of determining the inputs that will produce materials with the desired properties with minimal iteration. This process can be significantly accelerated by …
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An illustration by Michelle Macroni evokes the complex web of ingredients to possibilities in life sciences through applied digital innovation in R&D. Author: Robyn Cardwell, Ph.D., Director, Life Sciences Solutions Incremental Advances Versus Created Possibilities Many of the improvements in life sciences R&D labs today come through introducing digital technologies to existing processes, with an …
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Machine learning classification model learns complex printability window for inkjet printed polymer films using data from automated formulation and printing system. Authors: Michael Heiber, Ph.D., Applications Engineer and Frank Longford, Ph.D., Scientific Software Developer The Materials Research Society (MRS) is a global community of materials researchers, built to promote the advancement of interdisciplinary materials research and …
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To have a transformative impact, labs must reinvent workflows through digital technologies and skills, adopting a strong data culture. A figure from the white paper captures Level 5, where innovation through digital-centric systems confidently produces new materials that meet customer specifications orders of magnitude faster than before, enabling broader business transformation. Authors: Chris Farrow, Ph.D., …
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