Concurrent Materials Design, Accelerated by AI
This article references topics presented by Dr. Michael Heiber at Enthought’s 2025 R&D Innovation Summit in Tokyo. Link to video below. Over the last...
Scientific AI
6 Predictions: How AI Will Transform Scientific R&D In The Next Decade
This article was originally published on Forbes and can be found here. By Michael Connell, EdD | Chief Operating Officer, Enthought Inc. AI is...
Reshaping Materials R&D: Navigating Margin Pressure in the Specialty Chemicals Industry
The specialty chemicals and materials industry is undergoing a significant shift. For companies that have historically relied on the strength of...
The Emergence of the AI Co-Scientist
The era of the AI Co-Scientist is here. How is your organization preparing? Business and industry are undergoing a sea change, driven by the...
Understanding Surrogate Models in Scientific R&D
Scientific research in fields like life sciences, materials science, and specialty chemicals involves complex systems that can be computationally...
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. Artificial...
Utilizing LLMs Today in Industrial Materials and Chemical R&D
By Vaibhav Palkar, PhD and Mike Heiber, PhD Large language models (LLMs) are exciting and potentially transformative tools that should be a part of...
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...