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Scientific AI (2)

Enthought | Generative AI in Materials Science and Chemistry

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

The rise of ChatGPT and BARD based on large language models (LLMs) has shown the potential of generative models to assist with a variety of tasks....

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

OpenAI's ChatGPT, Google's Bard, and other similar Large Language Models (LLMs) have made dramatic strides in their ability to interact with people...

The Strategic Opportunities Of Advanced AI: A Focus On ChatGPT

This article was originally published on Forbes and can be found here. By Eric Jones, PhD| Founder and CEO, Enthought Inc. ChatGPT has become an...

Leveraging AI in Cell Culture Analysis

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

Making the Most of Small Data in Scientific R&D

For many traditional innovation-driven organizations, scientific data is generated to answer specific immediate research questions and then archived...

Extracting Value from Scientific Data to Accelerate Discovery and Innovation

Digital transformation is reshaping industries, demanding scientific organizations to adapt and remain competitive in the rapidly changing landscape....

Digital Transformation of the Materials Science R&D Lab

“Digital transformation”, “machine learning”, and “artificial intelligence” are buzzwords heard in every industry, from the boardroom to the lab. We...