A clawlike contraption lurched forward, like a bird pecking at feed, to snatch dishes holding a faux-chicken cutlet and potatoes, then inserted them onto a metal track that snakes through a 650-degree-Fahrenheit oven. Seven minutes, some automatic food dispensers, and two conveyor belts later (with a healthy assist from human hands), my meal was sitting on a shelf of mint-green cubbies. It was a vegan fried-chicken sandwich, a cucumber salad, crispy potatoes, and a smattering of other sides. This is Kernel, a fast-casual venture that opened its first store, in Manhattan, this February. Its founder, Steve Ells, kicked off the lunch-bowl boom when he started Chipotle in 1993.

Assuming that the term 'metaverse' could be understood as a computer-based implementation of multiverse applications, we started to look in the present work for a logic that would be powerful enough to handle the situations arising both in the real and in the fictional underlying application domains. Realizing that first-order logic fails to account for the unstable behavior of even the most simpleminded information system domains, we resorted to non-conventional extensions, in an attempt to sketch a minimal composite logic strategy. The discussion was kept at a rather informal level, always trying to convey the intuition behind the theoretical notions in natural language terms, and appealing to an AI agent, namely ChatGPT, in the hope that algorithmic and common-sense approaches can be usefully combined.

In this study, Nobel Laureate Orhan Pamuk's works are chosen as examples of Turkish literature. By counting the number of letters and words in his texts, we find it possible to study his works statistically. It has been known that there is a geometrical order in text structures. Here the method based on the basic assumption of fractal geometry is introduced for calculating the fractal dimensions of Pamuk's texts. The results are compared with the applications of Zipf's law, which is successfully applied for letters and words, where two concepts, namely Zipf's dimension and Zipf's order, are introduced. The Zipf dimension of the novel My Name is Red is found to be much different than his other novels. However, it is linguistically observed that there is no fundamental difference between his corpora. The results are interpreted in terms of fractal dimensions and the Turkish language.

The rise of restaurant robots is upon us. Major fast-food chains are employing robots to flip burgers, brew espressos and greet customers - and it is a fraction of the cost compared to paying human workers. White Castle is testing the Flippy robot at 100 locations and Chipotle uses a one-armed robot to make tortilla chips at 73 sites - both cost $3,000 a month - and Starbucks has $18,000 AI-powered espresso machines in at least 1,200 locations. As food costs rise and an intense labor shortage grips the US, paying monthly rentals for machines has become a cost-effective option. The National Restaurant Association recently reported that four in five operators are understaffed and have been since the COVID-19 pandemic hit in 2020.

More fast food chains than ever are testing robots and AI to cut costs. Advanced technology can be used to decrease the number of workers needed for food preparation and service. Robots are being used to take orders, prepare food, and even deliver it to customers. More fast food chains than ever are testing robots and AI to cut costs. Advanced technology can be used to decrease the number of workers needed for food preparation and service.

You can count burger-flipping robots as one pandemic innovation that's here to stay. White Castle announced today that it will be bringing Flippy 2, a robot chef that can essentially perform the same tasks as a team of fry cooks, to 100 more locations this year. This amounts to roughly a third of White Castle restaurants nationwide, so it's likely Flippy may become a permanent addition to this burger chain's workforce. Last fall the burger chain first teamed up with Miso Robotics, the makers of Flippy, to launch a pilot program in its Chicagoland location. The company then unveiled Flippy 2, the latest iteration of the chef robot, back in November.

Read on for CPW's highlights of the year's most significant events concerning biometric litigation, as well as our predictions for what 2022 may bring. One of the most critical consumer privacy statutes for biometric litigation has been Illinois' Biometric Information Privacy Act ("BIPA"), which regulates the collection, processing, disclosure, and security of the biometric information of Illinois residents. BIPA protects the "biometric information" of Illinois residents, which is any information based on "biometric identifiers" that identifies a specific person--regardless of how it is captured, converted, stored, or shared. Biometric identifiers are "a retina or iris scan, fingerprint, voiceprint, or scan of hand or face geometry." BIPA has found itself to be one of the most frequent targets for class actions, as it includes a private right of action with liquidated statutory damages, unlike many other data privacy statutes.

A robot chef named Flippy, designed to cook 300 burgers a day, has been upgraded and can now also fill up baskets of fries and place them in the deep fat fryer. Built by Miso Robotics, a food services startup from Pasadena, California, it is now capable of working an entire fry station and can do twice as many food preparation jobs as the first Flippy, including basket filling, emptying, and returning. White Castle has partnered with Miso on the Flippy project, giving feedback that has allowed the startup to improve the functionality of the product. They deployed the original Flippy to a location in the Chicagoland area in September 2020. Automatic Dispenser for high volume foods: New Automatic Dispenser options make Flippy 2 autonomous.

Miso Robotics the startup transforming the foodservice industry with intelligent automation unveiled the newest model of Flippy, its flagship product, aptly named Flippy 2. Based on key learnings and feedback from innovation partner White Castle, who deployed the original Flippy to a location in the Chicagoland area in September 2020 and plans to expand to additional locations once the pilot is over, Flippy 2 takes over the work for an entire fry station and performs more than twice as many food preparation tasks compared to the previous version including basket filling, emptying and returning. Back-of-house positions at quick-service restaurants (QSRs) have historically been labor-intensive, physically demanding and can be hazardous given the proximity to hot oil and grills in compact kitchens. Flippy 2 looks to alleviate these pain points and create a better working environment for its human coworkers, while also maximizing the efficiency of the kitchen. Recommended AI News: GigLabs Raises $4.5 Million Seed Round Led By Dapper Labs and Panoramic Ventures to Help Brands Launch NFTs Over the course of Flippy's deployment at White Castle, the fast-food hamburger chain has been impressed and pleased with the productivity gains Flippy has brought to daily operations. While Flippy helped team members stay in their designated locations, employees noted during the pilot that there was a need for human assistance on both sides of the robot – from the initial point of contact with the uncooked product to when the cooked food gets placed in the holding area – requiring one or two employees at several steps.

Back in 2020, Miso Robotics teamed up with White Castle to pilot a kitchen robot that can cook sliders called Flippy in select locations. Now, thanks to data and employee feedback gathered from the pilot, Miso was able to create a new version of the machine called Flippy 2, which works faster and doesn't need human intervention. Apparently, one of the main things Miso learned from the pilot was that human assistance was still needed on both sides during operation. Since basket management wasn't automated, human employees would still need to help load the uncooked product and unload the cooked food in the holding area. Miso has designed an "AutoBin" system for the Flippy 2 that solves that problem, specifically for lower volume and specialty foods like onion rings and chicken tenders.