The University of Houston's College of Technology is looking to optimize the shopping experience. Photo via UH.edu

A new AI-powered lab at the University of Houston will supply real-time intelligence about the behavior of retail shoppers to help spur development of new technology for the retail industry.

The University of Houston College of Technology and Houston-based Relationshop announced the launch of the AI Retail Innovation Lab on November 10. Relationshop provides digital engagement and shopper loyalty technology to customers like Albertsons, United Supermarkets, Save On Foods, Market Street, and Big Y Foods.

The cloud-based lab, located at the College of Technology building in Sugar Land, will enable students, faculty, and industry professionals from across the U.S. to sift through in-store and online shopper data and then come up with new technology for the retail sector.

"This academic and commercial partnership with Relationshop accelerates the understanding and advancement of applied technology to keep pace with the unparalleled growth of digital retail as a result of COVID," Anthony Ambler, dean of the UH College of Technology, says in a news release.

The news release indicates new technology arising from the lab-supplied data "will optimize the shopper journey through more personalized and curated digital interactions across all forms of digital engagement and commerce … ."

Randy Crimmins, president of Relationshop, says his company will work alongside UH faculty and data science teams to advance the use of AI and big data in the retail sector.

"We see this partnership as a perfect blending of our strengths, with great synergy in the incredible work they are doing in academia, and our key areas of focus and experience in the retail marketplace," Crimmins says.

The AI lab, part of the College of Technology's Advanced Technology Innovation & Research Center, also will be a hub for industry training, undergraduate and graduate studies, and other initiatives.

The lab's activities will be carried out in concert with the AI Innovation Consortium, a think tank of IT and advanced technology thought leaders. Aside from UH, members of the consortium include Pennsylvania State University, Louisiana State University, and the University of Louisville.

The UH announcement comes two days after the official debut of a retail innovation lab at McGill University in Montreal. The lab, which includes a "fully frictionless" Couche-Tard Connecté convenience store, fosters collaboration among key players in the retail, emerging technology, and startup communities.

"By combining artificial intelligence and retail management, this retail innovation lab at the Bensadoun School of Retail Management will allow our researchers to develop new initiatives and technologies to improve the customer experience for the retail sector with the help of industry partners," says professor Morty Yalovsky, dean of McGill's Desautels Faculty of Management.

In the U.S., Alimentation Couche-Tard is the parent company of the Circle K chain of convenience stores. Circle K currently is rolling out frictionless technology, including AI-supported self-checkout systems, at stores in Tempe and Tucson, Arizona.

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Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”