From chatbots to autonomous vehicles, Artificial Intelligence (AI) is seamlessly being integrated into our daily life.
Food and beverage giant Nestlé is working with IBM to develop new tools that leverage AI and deep tech to bring breakthrough innovations to life. This research collaboration has led to the development of a generative AI tool that can identify novel high-barrier packaging materials.
Packaging helps to protect food and beverages while also preventing food waste. Nestlé is continuously reducing the use of virgin plastic, pioneering the use alternative materials and novel technologies, and moving to recyclable mono-material and paper-based solutions.
Identifying new packaging materials that meet each product’s functional needs while ensuring food safety and quality is often meticulous. In some cases, this requires years of research.
Nestlé and IBM leveraged AI-based processing techniques to construct a knowledge base of known materials from public and proprietary documents. Subsequently, the team fine-tuned a fit-for-purpose chemical language model on this curated corpus, enabling it to learn the representation of the molecular structures.
Using that knowledge, the teams leveraged the recently developed regression transformerby IBM Research to learn the correlation between key structural molecular features and the resulting physical-chemical properties.
The resulting model can now propose entirely new high-barrier packaging materials that shield sensitive products from moisture, temperature swings and oxygen.
Stefan Palzer, Nestlé Chief Technology Officer, says this novel AI-powered language model, developed in collaboration with IBM Research, illustrates how Nestlé is leading the digital transformation within the food and beverage industry.
“In the future, such breakthrough technology could be used to optimize the development of more sustainable packaging solutions across product categories.”
Generative AI
Alessandro Curioni, IBM Research VP Europe & Africa, believe that Generative AI will continue to disrupt scientific discovery, impacting the core business of all knowledge-based industries, allowing critical differentiation and sustainable growth.
Nestlé will utilize this novel technology to identify future packaging materials, while considering cost, recyclability, and functionality. The brand continues to leverage AI, machine learning, data science and automation to support innovation and help manage complexities.
It has developed a recipe optimization tool that uses advanced algorithms to help product developers better manage tradeoffs between ingredients, nutrition, cost and sustainability, while still meeting consumer expectations.
Nestlé also uses digital twins of equipment and production lines to optimize manufacturing processes and has developed digital tools to deliver personalized nutrition solutions for people and pets.
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