Transformation

Extracting Target Labels from Deep Learning Classification Models

Sep 5, 2022

In the blog post Configuring a Neural Network Output Layer we highlighted how to correctly set up an output layer for deep learning models. Here, we discuss how to make sense of what a neural network actually returns from the output layers. If you are like me, you may have been surprised when you first…

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True DX in the Pharma R&D Lab Defined by Enthought

May 25, 2022

Enthought’s team in Japan exhibited at the Pharma IT & Digital Health Expo 2022 life sciences conference in Tokyo, to meet with pharmaceutical industry leaders gathering for technological insight and to revitalize market growth. 200 companies exhibited across the 3-day in-person event, which drew over 6,700 attendees. With digital transformation a headline theme, the show…

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Life Sciences Labs Optimize with New Digital Technologies and Upskilling

May 16, 2022

Labs are resetting the trajectory for drug development: reducing timelines from years to months; decreasing costs from billions to millions; and gaining an advantage by delivering drugs to market in months rather than decades. This value combination is a compelling case for investment in digital capability and organizational transformation. A 100x or 1000x advance in…

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Webinar Q&A: Accelerating Product Reformulation with Machine Learning

Oct 28, 2021

In our recent C&EN Webinar: Accelerating Consumer Products Reformulation with Machine Learning, we demonstrated how to leverage digital tools and technology to bring new products to market faster. The webinar was well attended by scientists, engineers, and business leaders across the product development spectrum eager to learn how these concepts can be applied to their…

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Scientists Who Code

Oct 6, 2021

Digital skills personas for success in digital transformation The digital skills mix varies widely across companies, from those just starting to invest in digital transformation initiatives, to ones well into their journey. Building a community of people who think digitally and are able to innovate and quickly prototype ideas is key to delivering results.  Author:…

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The Challenges of Scaling Digital Advances in Life Sciences

Oct 6, 2021

Scaling innovations in R&D can be considered challenging in two dimensions: from lab to lab; and from the lab to the end customer. A 100x or 1000x advance in R&D efficiency challenges an organization to adapt, from R&D to engineering, manufacturing, and to the marketplace, where there is a significant business opportunity.   Incremental Advances…

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Digital Transformation in Practice

Jun 30, 2021

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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Giving Visibility to Renewable Energy

Oct 6, 2021

The ultimate project goal of EnergizAIR Infrastructure 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 in the hands of individuals, this is an idea whose time has come. Author: Didrik Pinte, M.S.,…

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Machine Learning in Materials Science

Aug 10, 2021

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.  In the lab, many tasks require manual data collection and judgment. And…

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FORGE-ing Ahead: Charting the Future of Geothermal Energy

Jun 23, 2021

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…

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