By combining the genetic sequencing and analysis of the microbes in a milk sample with artificial intelligence (AI), researchers were able to detect anomalies in milk production, such as contamination or unauthorized additives. The new approach could help improve dairy safety, according to the study authors from Penn State, Cornell University and IBM Research. By combining the genetic sequencing and analysis of the microbes in a milk sample with artificial intelligence (AI), researchers were able to detect anomalies in milk production, such as contamination or unauthorized additives. The new approach could help improve dairy safety, according to the study authors from Penn State, Cornell University and IBM Research. Cell & Microbiology Agriculture Phys.org – latest science and technology news stories
AI decodes microbes’ message in milk safety testing approach
