The R&D Leader's Playbook for Agentic AI Success
This article references topics presented by Michael Connell, EdD during our recent webinar, Making Sense of Agentic AI: A Strategic Briefing for...
Scientific AI
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...
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.
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...
Revolutionizing Materials R&D with “AI Supermodels”
In recent years, the advancement of computational capabilities and artificial intelligence has profoundly impacted materials science and chemistry...
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