#food-recognition

#food-recognition

"Consumers want healthy foods, but at the time of purchase, cravings often prevail. The high oil content adds flavor, but it also contains a lot of energy and calories."

The new tracker features a simplified progress bar that shows just four stages of pizza creation. The new design was rolled out to all platforms, and there's also new Lock Screen widgets for iOS that bring the pizza chain's most famous tech feature to the Liquid Glass age.

Amazon's latest upgrade to Alexa+, its next-generation AI assistant, allows you to order food from popular delivery services Uber Eats and Grubhub in a conversational manner, just as if you were chatting with a waiter at a restaurant or placing an order at a drive-thru.

The savings disappear the moment you hit real-world complexity. Disparate data sources and messy inputs, ambiguous situations without clear rule sets, or actually any domain where the rules aren't already obvious. And someone still has to write all those rules.

Whole Foods shelves sit empty after a data breach shut down its wholesale distributor. Meat packers working for JBS Foods are paralyzed as an $11 million ransomware attack takes out their processing facilities. Some 2.2 million workers at Stop & Shop and Hannaford have their personal data exposed as the result of a cyberattack on parent company Ahold Delhaize USA. These scenarios, straight from a William Gibson novel, are becoming increasingly common in supply chains across the world.

How will we be fed? That's the biggest question not seriously being addressed amid all this talk about whether or not artificial intelligence will end up taking over all of our jobs. Formidable though the technology appears, similar fears have popped up repeatedly since the Industrial Revolution, and most working-age adults remain employed. Still, what is sorely missing is a serious debate about what to do if this future in fact materializes.

The Brain Science Here's where neuropsychology enters the vineyard. The human brain's relationship with wine is deeply emotional and multisensory. When we taste wine, our orbitofrontal cortex integrates sensory information with memory and emotion; it's why a particular bottle might remind us of our grandmother's kitchen or that study-abroad summer in Tuscany. This neural complexity is what makes wine special, and it's also what makes AI's role in the industry controversial.

Yaghi describes AI not as a silver bullet, but as an advanced form of statistical pattern recognition-tools that can identify trends in data that may be difficult or time-consuming for people to uncover on their own. The real opportunity, he says, depends heavily on what farms are already doing. Operations that are consistently collecting and digitizing high-quality data are better positioned to benefit, whether the goal is lowering per-cow costs in a dairy, improving financial analysis, or identifying operational efficiencies.

The issue is, the recipe was wrong and it claims it is from Inspired Taste, when it really wasn't. So Glenn would be cooking up this recipe, thinking it is from Inspired Taste, then when it comes out bad, he would not be happy with his favorite recipe blogger and fault them. But the truth is, it is Google's fault for providing the wrong recipe, due to its AI.

IoT tech is seeing increased use and paying dividends, fuelling operational efficiency, improving front-of-house guest experiences and reducing downtime in the kitchen, according to research from MachineQ. The 2026 restaurant readiness: ops meets tech report, conducted by independent research firm Censuswide, took the opinion of more than 400 US-based quick service and fast casual restaurant leaders about the effects of technology in their industry, highlighting how technology adoption is transforming day-to-day restaurant operations.

The system collects data on restaurant operations and shares it via "Patty," a voice that talks to employees through their headsets. If the drink machine is low on Diet Coke, Patty will tell the store's manager. If a customer uses a QR code to report a messy bathroom, the manager will be alerted.

One scientist at MIT, Cyrus Clarke, is working to do just that. Alongside a team of fellow researchers, Clarke has developed a physical machine called the Anemoia Device, which uses a generative AI model to analyze an archival photograph, describe it in a short sentence, and, following the user's own inputs, convert that description into a unique fragrance. The word "anemoia" was coined by author John Koenig and included in his 2021 book, The Dictionary of Obscure Sorrows.