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.
Utilizing LLMs Today in Industrial Materials and Chemical R&D
By Vaibhav Palkar, PhD and Mike Heiber, PhD
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...
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...
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...