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Enthought at ACS 2023 Fall Meeting

Top 5 Takeaways from the American Chemical Society (ACS) 2023 Fall Meeting: R&D Data, Generative AI and More

8月 29, 2023

By Mike Heiber, Ph.D., Director, Professional Services & Customer Success, Materials Informatics The Ameri…

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Life Sciences Labs Optimize with New Digital Technologies and Upskilling

5月 16, 2022

Labs are resetting the trajectory for drug development: reducing timelines from years to months; decreasing co…

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Enthought | Generative AI in Materials Science and Chemistry

From Data to Discovery: Exploring the Potential of Generative Models in Materials Informatics Solutions

6月 30, 2023

Generative models can be used in many more areas than just language generation, with one particularly promising area: molecule generation for chemical product development.

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enthought-science-research-cells

The Importance of Large Language Models in Science Even If You Don’t Work With Language

6月 11, 2023

OpenAI’s ChatGPT, Google’s Bard, and other similar Large Language Models (LLMs) have made dramatic strides in their ability to interact with people using natural language. Users can describe what they want done and have the LLM “understand” and respond appropriately. 

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Scientists Who Code

10月 6, 2021

Digital skills personas for success in digital transformation The digital skills mix varies widely across comp…

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Enthought | Digital Transformation of the Materials Science R&D Lab

Digital Transformation of the Materials Science R&D Lab

3月 31, 2022

“Digital transformation”, “machine learning”, and “artificial intelligence&#8221…

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

5月 25, 2022

Enthought’s team in Japan exhibited at the Pharma IT & Digital Health Expo 2022 life sciences confer…

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Life Sciences Labs Optimize with New Digital Technologies and Upskilling

5月 16, 2022

Labs are resetting the trajectory for drug development: reducing timelines from years to months; decreasing co…

Read More
Enthought | Digital Transformation of the Materials Science R&D Lab

Digital Transformation of the Materials Science R&D Lab

3月 31, 2022

“Digital transformation”, “machine learning”, and “artificial intelligence&#8221…

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Digital-centric R&D Laboratories

2月 16, 2021

To have a transformative impact, labs must reinvent workflows through digital technologies and skills, adoptin…

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