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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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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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Enthought | Pharma and BioPharma

Leveraging AI in Cell Culture Analysis

3月 22, 2023

Mammalian cell culture is a fundamental tool for many discoveries, innovations, and products in the life sciences.

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Giving Visibility to Renewable Energy

10月 6, 2021

The ultimate project goal of EnergizAIR Infrastructure was to raise individual awareness of the contribution o…

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Machine Learning in Materials Science

8月 10, 2021

The process of materials discovery is complex and iterative, requiring a level of expertise to be done effecti…

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AI Needs the ‘Applied Sciences’ Treatment

6月 30, 2021

As industries rapidly advance in AI/machine learning, a key to unlocking the power of these approaches for com…

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Lessons for Geoscientists from the book Real World AI: A Practical Guide for Responsible Machine Learning

6月 23, 2021

In this blog article Enthought Energy Solutions Vice President Mason Dykstra looks at the recently published b…

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FORGE-ing Ahead: Charting the Future of Geothermal Energy

6月 23, 2021

A microseismic event loaded from the Frontier Observatory for Research in Geothermal Energy (FORGE) distribute…

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