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 food safety


Chipotle Is Working With Palantir to Track Food Safety Risks

WIRED

The burrito chain has enlisted Palantir for a platform that monitors pest incidents, employee illnesses, and other factors. The partnership comes after a nightmare summer for food safety across the US. Fast-casual burrito chain Chipotle is working with the data infrastructure giant Palantir . The company is working on a "food safety risk platform" hosted on Palantir's flagship software platform Foundry, according to screenshots viewed by WIRED. The platform appears to analyze factors like a store's health department scores, pest incidents, and employee illnesses to assign a food safety score--basically, the store's risk level.


You might be eating too much protein

Popular Science

Proteinmaxxing isn't always healthier, especially as we age. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Mark Dones (right) won a rib eating contest after eating seven ribs in two minutes at Toronto's RibFest in Centennial Park. But is all that protein actually good for him? Breakthroughs, discoveries, and DIY tips sent six days a week.


10 Foods That Food Safety Experts Never Eat

TIME - Tech

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Chef 'not embarrassed' by one-star hygiene rating at Michelin-starred restaurant

BBC News

The chef behind Wales' only two-Michelin-star restaurant has said he is not embarrassed after it was awarded a one-star hygiene rating. Ynyshir Restaurant and Rooms, near Machynlleth in Ceredigion, which charges nearly ยฃ500 per head, received the rating after a visit by food safety officers on 5 November. According to the Food Standards Agency (FSA), a score of one out of five means major improvement is necessary. But chef patron Gareth Ward, a contestant on MasterChef The Professionals, said the restaurant was working at the highest standard in the world and doing something different with how it approaches raw ingredients and techniques. Ynyshir offers a high-end dining experience starting at ยฃ468 per person, including a 30-course tasting menu and an in-house DJ.


Machine Learning Applied to the Detection of Mycotoxin in Food: A Review

arXiv.org Artificial Intelligence

Mycotoxins are a group of naturally occurring, toxic chemical compounds produced by certain species of moulds (fungi), during growth on various crops and foodstuffs, including cereals, nuts, spices and dairy products (The World Health Organization (WHO), 2023). The ingestion of certain mycotoxins has been linked to a range of harmful health impacts on both humans and animals, from short-term poisoning to long-term consequences such as liver cancer, and in some cases, death (Mavrommatis et al., 2021; Marroquรญn-Cardona et al., 2014; Liu and Wu, 2010). Mycotoxins are secondary metabolites (that is, compounds produced by an organism that are not essential for its primary life processes) and are often produced during the pre-harvest, harvest, and storage phases under favourable conditions of humidity and temperature (Marroquรญn-Cardona et al., 2014; Van der Fels-Klerx et al., 2022). The most prevalent mycotoxins include aflatoxins, tricothecenes, fumonisins, zearalenones, ochratoxins and patulin, and are produced by certain plant-pathogenic species of Aspergillus, Fusarium, and Penicillium (Tola and Kebede, 2016). Mycotoxin contamination in crop products has been found to vary significantly across different geographical locations and is influenced by annual weather conditions (Logrieco et al., 2021; Leggieri et al., 2020).


How artificial intelligence can make our food safer

#artificialintelligence

Food recalls could be a thing of the past if artificial intelligence (AI) is utilized in food production, according to a recent study from UBC and the University of Guelph. The average cost of a food recall due to bacterial or microbial contamination, like E. coli, is US$10 million according to study co-author Dr. Rickey Yada, a professor and the dean of the UBC faculty of land and food systems. We spoke with Dr. Yada about how AI can help optimize the current systems used in the food processing industry, and how it can help make our food supply safer. What are some of the current limitations when it comes to food processing? The current challenge is that food safety problems tend to show up after the fact once the products have been shipped, sold, or in some cases already consumed.


Key Technology adds artificial intelligence to sorters

#artificialintelligence

On July 14, Key Technology debuted its new FM Alert software driven by artificial intelligence (AI). The new AI alert system can help processors control foreign materials entering product streams, as well as improving documentation and overall food safety. It will be a part of the company's exhibit at Pack Expo in October at booth S-3547. The AI system captures and saves images of foreign materials (FMs) that a sorter detects and rejects from its stream, with data available immediately to alert operators. "Thanks to the application of advanced artificial intelligence, our new FM Alert software achieves uniquely accurate results -- identifying, recording and acting on true FM findings on the line," said Marco Azzaretti, director of marketing at Key. "The food processing industry continues to focus more and more on elevating food safety. By making product safer, this effective FM-fighting tool helps customers protect their brand's reputation and avoid costly recalls. Every food processor wants to prevent contamination, making FM Alert universally beneficial across all applications."


Key Technology Unveils FM Alert with Artificial Intelligence

#artificialintelligence

Key Technology introduces AI-driven FM alert software for its digital sorting systems. This powerful tool captures and saves digital images of critical foreign material (FM) contaminants that the sorter detects and rejects from the product stream. Data outputs from the software can be utilized to immediately alert operators and/or signal a downstream device. AI-enhanced FM Alert helps processors better control FM and improve documentation to protect food safety. "Thanks to the application of advanced artificial intelligence, our new FM Alert software achieves uniquely accurate results โ€“ identifying, recording, and acting on true FM findings on the line," said Marco Azzaretti, director of marketing at Key. "The food processing industry continues to focus more and more on elevating food safety. By making product safer, this effective FM-fighting tool helps customers protect their brand's reputation and avoid costly recalls. Every food processor wants to prevent contamination, making FM Alert universally beneficial across all applications."


Inside AI: Food Processing and Distribution in the Era of Artificial Intelligence

#artificialintelligence

Many of these challenges are caused by inefficiencies in the food processing and distribution supply chain, which is a vital value-added step in our food system. The pieces of the puzzle are all there: ubiquitous sensors and devices that generate data with unprecedented volume, velocity and veracity; mature computational methods to make use of them; connected markets that can take advantage of these innovations at a global scale; and a need to transform antiquated, obsolete components of the current system, whether because of consumer demand for personalization and empowerment, or the need for global food safety and sustainability. Millions are spent every year in both the private and public sector to bring forth innovative solutions in capturing market preference, food safety, food security, provenance and traceability, all the while creating superior products that taste good, are good for your health and don't break the bank.


Topical Classification of Food Safety Publications with a Knowledge Base

arXiv.org Artificial Intelligence

The vast body of scientific publications presents an increasing challenge of finding those that are relevant to a given research question, and making informed decisions on their basis. This becomes extremely difficult without the use of automated tools. Here, one possible area for improvement is automatic classification of publication abstracts according to their topic. This work introduces a novel, knowledge base-oriented publication classifier. The proposed method focuses on achieving scalability and easy adaptability to other domains. Classification speed and accuracy are shown to be satisfactory, in the very demanding field of food safety. Further development and evaluation of the method is needed, as the proposed approach shows much potential.