Walmart this morning unveiled a new "store of the future" and test grounds for emerging technologies, including AI-enabled cameras and interactive displays. The store, a working concept called the Intelligent Retail Lab -- or "IRL" for short -- operates out of a Walmart Neighborhood Market in Levittown, N.Y. The store is open to customers and is one of Walmart's busiest Neighborhood Market stores, containing more than 30,000 items, the retailer says, which allows it to test out technology in a real-world environment. Similar to Amazon Go's convenience stores, the store has a suite of cameras mounted in the ceiling. But unlike Amazon Go, which is a grab-and-go store with smaller square footage, Walmart's IRL spans 50,000 square feet of retail space and is staffed by more than 100 employees.

We consider the problem of defining the significance of an itemset. We say that the itemset is significant if we are surprised by its frequency when compared to the frequencies of its sub-itemsets. In other words, we estimate the frequency of the itemset from the frequencies of its sub-itemsets and compute the deviation between the real value and the estimate. For the estimation we use Maximum Entropy and for measuring the deviation we use Kullback-Leibler divergence. A major advantage compared to the previous methods is that we are able to use richer models whereas the previous approaches only measure the deviation from the independence model. We show that our measure of significance goes to zero for derivable itemsets and that we can use the rank as a statistical test. Our empirical results demonstrate that for our real datasets the independence assumption is too strong but applying more flexible models leads to good results.

Inside one of Walmart's busiest Neighborhood Market grocery stores, high resolution cameras suspended from the ceiling point to a table of bananas. They can tell how ripe the bananas are from their color. When a banana starts to bruise, the cameras send an alert to a worker. Normally, that task would have relied on the subjective assessment of a human, who likely doesn't have time to inspect every piece of fruit. Welcome to Walmart's Intelligent Retail Lab -- the retail giant's biggest attempt to digitize the physical store.

The thousands of cameras are a key feature of the lab, which officially opens inside this 50,000-square-foot store on Thursday. Walmart envisions using them, combined with other technology like sensors on shelves, to monitor the store in real time so its workers can quickly react to replenish products or fix other problems. The technology, shown to The Associated Press, will also be able to track when shelves need to be restocked or if shopping carts are running low. It can spot spills on the floor and even detect when cash registers need to be opened up before long lines start forming.

Retail has been one of the industries most impacted by the advancements of artificial intelligence (AI). Shopping is becoming more and more frictionless to the point where customers can simply say "order more garbage bags" and their home virtual assistant can do the rest. Product warehouses are highly automated and one day those purchases will be delivered by an autonomous car or drone. Shoppers can now enter a brick and mortar store, or shopping area, scan a credit card or loyalty card, take what they want off the shelves and walk out without having to checkout at a counter. All of these new advancements are made possible by artificial intelligence.

Turns out after they've been trained on enormous datasets, algorithms can not only tell what a picture is such as knowing a cat is a cat but can also generate absolutely original images. The artificial intelligence that makes this possible has matured significantly in recent years and in some applications is very proficient, but in other ways, still has a long way to go. Artificial Intelligence Can Now Generate Amazing Images – What Does The Mean For Humans? It's taken two decades for computer scientists to train and develop machines that can "see" the world around them--another example of an everyday skill humans take for granted yet one that is quite challenging to train a machine to do. Facial recognition technology, used both in retail and security, is one way AI and its ability to "see" the world is starting to be commonplace. Retailers use facial recognition technology to better market and sell to their target audience.

If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. Get your Nordstrom cards out, people. There is a sale going on right now at the beloved retailer, and it's good. I literally shopped the entire sale online, so I can confirm: this is a must-shop event (my bank account is shaking).

With Earth Day just around the corner, Apple announced it's quadrupling the number of locations US customers can send their iPhones for recycling. The company's recycling robot, Daisy, will now disassemble select iPhones returned to Best Buy stores in the US, KPN retailers in the Netherlands, as well as those recycled at any Apple Store or online through the Apple Trade In program. According to Apple, each of the Daisy robots can disassemble 1.2 million devices per year, or 15 different iPhone models at a rate of 200 per hour. Recovered materials are recycled back into the manufacturing process, and Apple sends the iPhone batteries Daisy removes to select manufacturing sites. There, for the first time, the cobalt is recovered, combined with scrap and used to make new batteries.

Wish there was a place to shop where you could compare prices from multiple retailers at once and get the best deal on your favorite products, while also getting everything you need shipped quickly and efficiently right to your door? Say hello to Google Express, the online shopping service that's designed to give you that experience. While it's been around for years, this constantly evolving platform is part of Google's attempt to unseat Amazon's hegemony in the online shopping world. The service aims to make buying products online more convenient and accessible. But chances are, you've never even heard of it before.

A new tech trend has emerged at the world's largest retailer, as Walmart brings on board thousands of robots in nearly 5,000 of its 11,348 stores. According to CNN Business, these robots will be scrubbing floors, scanning boxes, unloading trucks and tracking shelf inventory at mostly domestic U.S. locations. Robots will replace lower-level jobs--serving in janitorial functions as well as performing basic inventory work--in order to manage rising costs. A new robot unloader has already been used on the docks in hundreds of stores, pulling boxes from delivery trucks while automatically scanning and sorting merchandise. The unloader will be deployed at over 1,100 retail locations in the near future.