Items Tagged with 'artificial intelligence'

Researchers from CDC, FDA, and USDA trained an artificial intelligence (AI) machine learning model to conduct food source attribution for human cases of salmonellosis by analyzing whole genome sequencing (WGS) data for Salmonella isolates. The model showed promise, estimating that the majority of salmonellosis cases are caused by chicken and vegetables

In a new study, the UK Health Security Agency (UKHSA) evaluated the ability of artificial intelligence (AI) to detect foodborne illness outbreaks by analyzing online restaurant reviews. Although several challenges were identified that must be overcome before AI can be used routinely in epidemiological investigations, UKHSA believes the approach shows promise. 

An expanded range of jointly developed pest traps from BrightAI and Pelsis bring new artificial intelligence (AI) -powered pest detection devices to a wider range of food facilities.

A researcher from Southern Illinois University Carbondale has received a $150,000 grant from USDA-NIFA to develop an AI-based rapid detection method for Salmonella on onions.

Trustwell recently added an Allergen Identification feature to its Genesis Foods platform, which uses artificial intelligence (AI) to recognize and alert users of potential allergens for submitted ingredients, helping inform accurate labeling and potential corrective actions.

On November 6, the Food and Agriculture Organization of the United Nations (FAO) will hold a technical seminar on artificial intelligence (AI) for food safety, a virtual livestream of which will be available for public viewing. 

Combining genomic sequencing data and artificial intelligence (AI), researchers have demonstrated the efficacy of a new approach for the untargeted detection of contaminants, antibiotics, and other food safety anomalies in bulk milk samples.  

As concerns mount regarding climate change and its profound impacts on global food safety and security, innovative solutions are imperative. Artificial intelligence (AI) emerges as a powerful ally against climate challenges, offering cutting-edge tools to mitigate risks and fortify food safety measures.

Certain components of the food safety plan, like preventive maintenance and environmental monitoring, can benefit from the predictive characteristics of AI; however, the quality of the data fed into the system is critical.

The Institute of Food Technologists (IFT) is rolling out an updated version of its popular, four-session virtual workshop on the food industry applications of Artificial Intelligence (AI), beginning on April 23, 2024.