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.

UH's Sugar Land campus has a new innovation hub focused on machine learning in the energy industry. Photo via UH.edu

University of Houston launches new AI lab geared toward oilfield tech

The University of Houston at Sugar Land is now home to an innovative lab that will work to find new ways to use artificial intelligence in the oilfield.

Dubbed the Artificial Intelligence Industry Incubator and Digital Oilfield Lab at the University of Houston, the facility will allow faculty, students, and energy professionals to develop technologies and solutions to increase efficiency and boost oil field safety through machine learning, according to a release from UH.

The lab opened in late 2020 and is part of the College of Technology's Advanced Technology and Innovation Laboratory. It represents a partnership with the UH College of Technology and the AI Innovation Consortium based in Louisville, Kentucky.

The consortium also includes Pennsylvania State University, the University of Louisville, Louisiana State University, and a number of corporations.

According to the release from UH, several companies have already agreed to work with the lab on projects that will find ways to use AI for predictive analytics, visual inspection, and health and safety measures.

"This incubator program emphasizes the need to build projects grounded in clear business value, with technologically rich and hands-on initiatives, and an engaging industry/academia partnership," Konrad Konarski, chair and director of operations at AIIC, says in a statement. "This allows us to focus on the most relevant AI technologies that have immediate impact and value to the oil and gas industry."

Too, the lab aims to provide students with valuable experiences that they can likely leverage into a job upon graduation.

"The laboratory and incubator will allow our students to contribute to the various applied research and proof of concept work currently underway and in the future," David Crawley, professor of practice in the College of Technology, says in a statement. "This includes working with the AIIC's commercial partners to create opportunities to move their incubator experience and advanced academic background into jobs at participating operations."

The university has also made headway in recent months using machine learning to better the search for "super hard" materials, such as diamonds. It also launched a new drug discovery institute in November.
Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

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.”

12 winners named at CERAWeek clean tech pitch competition in Houston

top teams

Twelve teams from around the country, including several from Houston, took home top honors at this year's Energy Venture Day and Pitch Competition at CERAWeek.

The fast-paced event, held March 25, put on by Rice Alliance, Houston Energy Transition Initiative and TEX-E, invited 36 industry startups and five Texas-based student teams focused on driving efficiency and advancements in the energy transition to present 3.5-minute pitches before investors and industry partners during CERAWeek's Agora program.

The competition is a qualifying event for the Startup World Cup, where teams compete for a $1 million investment prize.

PolyJoule won in the Track C competition and was named the overall winner of the pitch event. The Boston-based company will go on to compete in the Startup World Cup held this fall in San Francisco.

PolyJoule was spun out of MIT and is developing conductive polymer battery technology for energy storage.

Rice University's Resonant Thermal Systems won the second-place prize and $15,000 in the student track, known as TEX-E. The team's STREED solution converts high-salinity water into fresh water while recovering valuable minerals.

Teams from the University of Texas won first and second place in the TEX-E competition, bringing home $25,000 and $10,000, respectively. The student winners were:

Companies that pitched in the three industry tracts competed for non-monetary awards. Here are the companies named "most-promising" by the judges:

Track A | Industrial Efficiency & Decarbonization

Track B | Advanced Manufacturing, Materials, & Other Advanced Technologies

  • First: Licube, based in Houston
  • Second: ZettaJoule, based in Houston and Maryland
  • Third: Oleo

Track C | Innovations for Traditional Energy, Electricity, & the Grid

The teams at this year's Energy Venture Day have collectively raised $707 million in funding, according to Rice. They represent six countries and 12 states. See the full list of companies and investor groups that participated here.

---

This article originally appeared on our sister site, EnergyCapitalHTX.com.