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Research & KnowledgeEvent: September 8, 2026

Intellegens colleague Sean Kiernan notes that Bogdan made a post highlighting Transformer-style positional encoding being critical for materials science and formulation chemistry.

Published

Signal category

Research & Knowledge

Quote

My colleague Bogdan made a great point in his latest post: Transformer-style positional encoding isn't just for LLMs or spatial data in computer vision. It’s critical for materials science and formulation chemistry.

Sean Kiernan|Intellegens team

Company

Intellegens

Applied Machine Learning - Accelerate innovation for materials, chemicals, manufacturing, and beyond.

Industry
Software Development
Location
Cambridge, GB
Company size
17 employees

With Intellegens, you can apply advanced machine learning to find new product and process solutions, get products to market faster, and break through R&D bottlenecks. The Alchemite™ Suite offers a series of easy-to-use apps focused on key challenges for scientists, experimentalists, data scientists, or their managers. Unlock insights hidden in your data and guide decision-making to reduce experimental workloads by 50-80%. Share results and collaborate across R&D teams. Based on a powerful algorithm that offers unique capabilities for handling real experimental and process data, Alchemite™ is proven for applications in chemicals, materials, life sciences, FMCG, manufacturing, and beyond.

Founded 2017

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