Enthought Insights

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Enthought | Leveraging AI in BioPharma

Leveraging AI for More Efficient Research in BioPharma

In the rapidly-evolving landscape of drug discovery and development, traditional approaches to R&D in biopharma are no longer sufficient.

Scientist leveraging AI

Top 10 AI Concepts Every Scientific R&D Leader Should Know

In today's dynamic landscape of AI, it’s critical that R&D leaders and scientists are equipped with a working understanding of key AI concepts so...

Demystifying Bioinformatics Pipelines

What is a Bioinformatics Pipeline? Bioinformatics—used extensively in genomics, pathology, and drug discovery—combines mathematical and computational...

Enthought | IT and R&D

How IT Contributes to Successful Science

With the increasing importance of AI and machine learning in science and engineering, it is critical that the leadership of R&D and IT groups at...

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...