The University of Copenhagen Empowers Food Science Research with Generative AI
Tailored Trainings Enable Researchers to Accelerate Food Science Innovation
“We are now able to make all our text resources operational so that we can combine them with all our analytical data. This will fundamentally change the way we do food research.”
Key Outcomes
- Leveraged the power of text analytics and generative AI in food science research
- Achieved time savings with document summarization, knowledge graph constructions, question answering, and other techniques
- Increased competency using LLMs to combine text insights with research data
Professor Rasmus Bro says his team’s work will fundamentally change the way the University of Copenhagen does food research.
At the University of Copenhagen, a dedicated team of food science researchers is integrating data science into food science research, part of a discipline known as chemometrics. This innovative approach combines machine learning, statistics, and a deep understanding of food science to tackle complex challenges and drive research advancements.
Led by researcher and Professor Rasmus Bro, the team has previously collaborated with MathWorks on various projects. Recognizing the need to enhance their skills in modern text analytics and generative AI, they once again turned to MathWorks for support. As Professor Bro noted, “When we needed a competent boost in an area outside of our comfort zone, we have always been extremely content with what MathWorks provides.”
MathWorks application engineers designed and delivered a four-day custom training program on text analytics and large language models (LLMs). The training covered various techniques such as document summarization, knowledge graph construction, transfer learning, semantic segmentation, and question answering.
For the University of Copenhagen’s research group, MATLAB® was the natural choice for developing custom algorithms. With over 30 years of experience using MATLAB for code development, the team found it to be a suitable platform for their work involving LLMs and generative AI. The integration of MATLAB and Text Analytics ToolboxTM will enable the researchers to improve their research, with Professor Bro claiming, “For the first time, we are now able to make all our text resources operational so that we can combine them with all our analytical data. This will fundamentally change the way we do food research.”
The MathWorks application engineers and development team were willing to adjust to the researchers’ agenda, maximizing the gains from the training sessions. This adaptability was crucial in ensuring the success of the project. According to Professor Bro, “The whole group really went from very moderate insight to truly being able to apply and play around competently after just a very short but heavily tailored course.”
By investing in LLMs and generative AI now, the research team at the University of Copenhagen is setting the stage for future innovations and advancements. The collaboration between MathWorks and the University of Copenhagen exemplifies the power of tailored training and advanced tools in driving research forward. As the team continues to leverage generative AI and text analytics, they are poised to make significant contributions to the field of food science, showcasing the versatility and impact of MATLAB in diverse research domains.
