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...
What to Look for in a Technology Partner for R&D
In today’s competitive R&D landscape, selecting the right technology partner is one of the most critical decisions your organization can make. The...
Digital Transformation vs. Digital Enhancement: A Starting Decision Framework for Technology Initiatives in R&D
Digital transformation is a critical undertaking for science-driven enterprises. The adoption of digital technologies in R&D has proven to provide...
Digital Transformation in Practice
Digital transformation is an established trend and the catchphrase in boardrooms everywhere. However, while many companies realize the imperative to...
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...