The artificial intelligence (AI) rollout is intended to improve operational efficiency by enabling the creation of more complex AI workflows to assist with multi-step tasks, including pre-market reviews, review validation, post-market surveillance, and inspections and compliance.
In this episode of Food Safety Matters, we speak with Mr. Tom Black, representing Codex Alimentarius and the Australian Government, and Dr. Gabor Molnar, representing UNIDO, about international food safety standards and trends in an increasingly digitalized and AI-driven world, as well as the work efforts of their organizations.
Despite growing enthusiasm about and application of artificial intelligence (AI) for food safety management and regulatory oversight, the report underscores persistent challenges, the need for robust governance, and other factors to consider for responsible adoption.
On October 14, as part of the FAO Science and Innovation Forum, FAO will hold a webinar on the role of artificial intelligence (AI) in enhancing food safety management. Registration for online participation in the event is now open.
Rhombus Insights is a new AI-powered solution that enables businesses to measure “virtually anything their cameras can see,” providing operational insights without ongoing and time-intensive human intervention.
This episode of Food Safety Five discusses three recent studies that examine the risk of Listeria monocytogenes growth from multi-species biofilm contamination, how imported seafood may spread antibiotic resistance genes, and a promising AI mycotoxin detection method.
This episode of Food Safety Five discusses two scientific developments that could help address the risk posed by Cronobacter in powdered infant formula: an AI-powered analysis of genetic data for C. sakazakii, providing new insight into why it persists in low-moisture foods, and the development of a promising new assay.
A new study led by the University of South Australia offers a promising real-time mycotoxin detection method for the food industry that is based in artificial intelligence (AI) technology, and overcomes some of the limitations of traditional detection methods.
Using an artificial intelligence (AI) model to standardize and analyze a massive, global set of whole genome sequencing (WGS) data for Cronobacter sakazakii, University of Maryland researchers have discovered genetic traits that may explain the pathogen’s persistence and virulence in low-moisture foods like powdered infant formula.
GrubMarket has launched the first-ever artificial intelligence (AI) -powered agent for the food supply chain, designed specifically to help food wholesalers and distributors streamline and automate critical inventory workflows.
