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Food, Beverage & Tobacco


Kitchens in the cloud: AI is restoring consumer trust in the food delivery business - Microsoft Stories India

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Before COVID-19 struck India, Rajesh Agrawal and his wife, Meenakshi, would often get food from restaurants delivered to their home. A weekly treat of chicken tikka masala or lamb biryani would be a break from the vegetarian dishes they cook at home. It's been nearly a year since the Agrawals stopped ordering in food from their favorite restaurants. "There's no way to tell how clean and hygienic the restaurant kitchens are really," Mr. Agrawal says. "Sure, the government has released processes for restaurants during the pandemic. But we can't be certain that they're following those, can we?"


This Winery And Tomato Processor Used Artificial Intelligence To Make Their Crops Better

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CUYAMA, CA - APRIL 28: Overhead irrigation of this newly planted crop of carrots is putting ... [ ] pressure on the available groundwater supplies as viewed on April 28, 2020, in Cuyama, California. Located in the northeastern corner of Santa Barbara County, the sparsely populated and extremely arid Cuyama Valley has become an important agricultural region, producing such diverse crops as carrots, pistachios, lettuce, and wine grapes. The global precision farming market includes technology like robotics, imagery, sensors, artificial intelligence (AI), big data and bio-engineering is expected to reach more than $16 billion by 2028, according to a March 2021 report from Grand View Research. What if you could combine AI and traditional aerial imagery to build data sets that help farmers and food processors gain insight into crop heartiness while it was still growing in the field? Saul Alarcon, an Agronomist at The Morningstar Company that sources and processes tomatoes for several tomato-based products, says that new agriculture technologies based on AI can improve farming decisions.


Artificial intelligence for reducing food waste

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Over 30 percent of that is already destroyed in the production process. In the Resource-efficient Intelligent Foodchain ("REIF") project, the Fraunhofer Institute for Casting, Composite and Processing Technology IGCV is working with partners to combat this food waste. In this undertaking, artificial intelligence can be a valuable asset. Cheese, bread, meat, and other food products can be efficiently produced using data-based algorithms. Germany has committed to the United Nations goal to reduce food waste by half by the year 2030.


Building a Scalable ML Feature Store with Redis

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When a company with millions of consumers such as DoorDash builds machine learning (ML) models, the amount of feature data can grow to billions of records with millions actively retrieved during model inference under low latency constraints. These challenges warrant a deeper look into selection and design of a feature store -- the system responsible for storing and serving feature data. The decisions made here can prevent overrunning cost budgets, compromising runtime performance during model inference, and curbing model deployment velocity. Features are the input variables fed to an ML model for inference. A feature store, simply put, is a key-value store that makes this feature data available to models in production. At DoorDash, our existing feature store was built on top of Redis, but had a lot of inefficiencies and came close to running out of capacity. We ran a full-fledged benchmark evaluation on five different key-value stores to compare their cost and performance metrics.


A Review of What the Fast-Food Industry's Adoption of AI Means for Youth Entering The Workforce

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With the onslaught of issues, pre- and post- pandemic, It's difficult for me to pinpoint the most important issue facing young people entering the workforce. There are just so many barriers between youth and economic and professional success, I find it to be dizzying. CNN's article on February 26, 2021 "McDonald's and other chains are giving their drive-thrus the Jetsons treatment" – https://apple.news/A-FCm-jkWTn6DVTxLUqkt1A


How artificial intelligence is helping make food production smarter

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IMAGE: Smart data packages are providing food producers with greater insight, making production greener and more cost-efficient, but also generating new revenue streams - all thanks to the Evarest platform currently... view more Food production is a complex process involving the careful monitoring and management of raw materials, supply chains, market prices and much more besides. Access to smart data enables food producers to plan intelligently and to optimize their production processes allowing them to produce the required quantities more cheaply and in a more environmentally friendly way. But this data can also be used to create additional revenue streams for producers - something that will be demonstrated at this year's digital edition of Hannover Messe by members of a research consortium led by Professor of Business Informatics Wolfgang Maaß of Saarland University and the German Research Center for Artificial Intelligence (DFKI). In their'Evarest' research project, the team turns proprietary data into a commodity that can be traded securely without disclosing any intellectual property or trade secrets. What is next year's harvest of cocoa beans or strawberries going to be like?


AI-controlled vertical farm produces 400 times more food per acre than a flat farm

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National Geographic recently predicted that by 2050, there would be more than two billion additional mouths to feed By 2050. However, the Earth's irrigable land remains essentially the same, so feeding this ever-growing population is getting harder and harder. Vertical farming seems to be a critical tool for feeding them – and without the massive carbon footprint that comes with shipping food from distant farms. Plenty, an ag-tech startup in San Francisco co-founded by Nate Storey, has been able to increase its productivity and production quality by using artificial intelligence and its new farming strategy. The company's farm farms take up only 2 acres yet produce 720 acres worth of fruit and vegetables.


Upkar J. S. Dhaliwal on LinkedIn: AI-Enabled Automation for Food Quality Assessment - 2021 Summit

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Grab your seat at this session by Miku Jha, Founder & CEO of AgShift. She'll demonstrate how AI-enabled automation can make food quality assessment better...


10 Parallels Between Whiskey Tasting and Artificial Intelligence

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In today's world, the power of artificial intelligence is everywhere. From agriculture to healthcare, from shopping to dating, from the vehicles we drive to the way we do business, our experiences are increasingly shaped by AI. This is true even when it comes to whiskey tasting, although in this case the intelligence is driven by our senses and our reasoning rather than sophisticated algorithms. This is a topic that is close to my heart, given that I'm a director of AI, data analytics and high performance computing sales who moonlights as a whiskey sommelier. I often have occasion to reflect on the amazing parallels between the principles of AI and the process of tasting whisky.


Serendipity Brands is launching a 'Friends' ice cream pint, plus 3 movie-themed lines

FOX News

Learn how to whip up one of Serendipity 3's iconic desserts. Serendipity's new ice cream flavor will be there for you. At least it will be if you're a "Friends" fan who can't resist the brand's newest pint, which takes inspiration from the hit '90s TV show. Serendipity Brands announced it created a Central Perk Coffee Almond Fudge ice cream in partnership with Warner Bros. Consumer Products, according to a press release issued Tuesday. The Central Perk Coffee Almond Fudge comes in a purple carton and features the show's iconic logo and orange couch.