AI-driven research on the next generation of sustainable composites

Introduction

Iris.ai is a startup which accelerates research discovery with artificial intelligence (AI). For the past five years, they have been developing an AI engine for scientific text understanding. The tools developed by IRIS for academic literature reviews have shown great potential. Implementation of the tool at RISE will be carried out to demonstrate the feasibility of discovering and adapting trans-area existing research results to accelerate the development of tomorrow’s sustainable composite materials.

Purpose and goal

• Understand how AI-tool can be used in the process of developing new material or accessing data from existing scientific publications and patents
• Build a methodology around pre-defined case study and application area (Energy, Forest, Automotive)
• Generate feed-back for iterative development of the IRIS AI-tool.

Challenge

The exponential development of technologies such as Artificial Intelligence seems hard to grasp for a lot of mid-level manager decision makers. Specifically imagining what these tools can do for their companies. The implementation of such tools requires a shift in working methodology and information sharing in order to enable access to data, as well as accelerate scientific discovery.

Solution

AI-tool has the ability to replace the researchers' random google searches for relevant information for e.g. experiments and literature studies. The AI-powered search will be both systematic and holistic, i.e. through the entire body of knowledge; and the results will include areas that are often unexplored when done manually, due to suggestive appreciation.

Effect

The use of IRIS AI-tool will contribute with shortened searching time for information, as well as innovative proposals can be generated. We are expecting as a main effect a faster access to innovative materials and products in the society. In this project, IRIS will also continue developing the AI-tool based on the feed-back generated during the project, to make it a true digital science assistant. From RISE perspective, it will accelerate our scientific discovery process for finding sustainable materials for composites and additive manufacturing.