The Federal Ministry of Education and Research funded junior research group TRABBI has used artificial intelligence (AI) to create a global overview of over 5.6 million bioeconomy-related patents for bio-based products, services and processes.
Researchers have trained a language model with patent summaries that is able to identify bio-based products, services and processes with a high degree of accuracy.
As the researchers report in the journal Nature, 5.6 million bioeconomy-related patents were successfully identified from 67 million data sets using AI. ‘This approach exceeded the limits of traditional methods by allowing for linguistic and contextual variations in patent descriptions,’ the authors write.
