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.
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How Houston innovators played a role in the historic Artemis II splashdown

safe landing

Research from Rice University played a critical role in the safe return of U.S. astronauts aboard NASA’s Artemis II mission this month.

Rice mechanical engineer Tayfun E. Tezduyar and longtime collaborator Kenji Takizawa developed a key computational parachute fluid-structure interaction (FSI) analysis system that proved vital in NASA’s Orion capsule’s descent into the Pacific Ocean. The FSI system, originally developed in 2013 alongside NASA Johnson Space Center, was critical in Orion’s three-parachute design, which slowed the capsule as it returned to Earth, according to Rice.

The model helped ensure that the parachute design was large enough to slow the capsule for a safe landing while also being stable enough to prevent the capsule from oscillating as it descended.

“You cannot separate the aerodynamics from the structural dynamics,” Tezduyar said in a news release. “They influence each other continuously and even more so for large spacecraft parachutes, so the analysis must capture that interaction in a robustly coupled way.”

The end result was a final parachute system, refined through NASA drop tests and Rice’s computational FSI analysis, that eliminated fluctuations and produced a stable descent profile.

Apart from the dynamic challenges in design, modeling Orion’s parachutes also required solving complex equations that considered airflow and fabric deformation and accounted for features like ringsail canopy construction and aerodynamic interactions among multiple parachutes in a cluster.

“Essentially, my entire group was dedicated to that work, because I considered it a national priority,” Tezduyar added in the release. “Kenji and I were personally involved in every computer simulation. Some of the best graduate students and research associates I met in my career worked on the project, creating unique, first-of-its-kind parachute computer simulations, one after the other.”

Current Intuitive Machines engineer Mario Romero also worked on Orion during his time at NASA. From 2018 to 2021, Romero was a member of the Orion Crew Capsule Recovery Team, which focused on creating likely scenarios that crewmembers could encounter in Orion.

The team trained in NASA’s 6.2-million-gallon pool, using wave machines to replicate a range of sea conditions. They also simulated worst-case scenarios by cutting the lights, blasting high-powered fans and tipping a mock capsule to mimic distress situations. In some drills, mock crew members were treated as “injured,” requiring the team to practice safe, controlled egress procedures.

“It’s hard to find the appropriate descriptors that can fully encapsulate the feeling of getting to witness all the work we, and everyone else, did being put into action,” Romero tells InnovationMap. “I loved seeing the reactions of everyone, but especially of the Houston communities—that brought me a real sense of gratitude and joy.”

Intuitive Machines was also selected to support the Artemis II mission using its Space Data Network and ground station infrastructure. The company monitored radio signals sent from the Orion spacecraft and used Doppler measurements to help determine the spacecraft's precise position and speed.

Tim Crain, Chief Technology Officer at Intuitive Machines, wrote about the experience last week.

"I specialized in orbital mechanics and deep space navigation in graduate school,” Crain shared. “But seeing the theory behind tracking spacecraft come to life as they thread through planetary gravity fields on ultra-precise trajectories still seems like magic."

UH breakthrough moves superconductivity closer to real-world use

Energy Breakthrough

University of Houston researchers have set a new benchmark in the field of superconductivity.

Researchers from the UH physics department and the Texas Center for Superconductivity (TcSUH) have broken the transition temperature record for superconductivity at ambient pressure. The accomplishment could lead to more efficient ways to generate, transmit and store energy, which researchers believe could improve power grids, medical technologies and energy systems by enabling electricity to flow without resistance, according to a release from UH.

To break the record, UH researchers achieved a transition temperature 151 Kelvin, which is the highest ever recorded at ambient pressure since the discovery of superconductivity in 1911.

The transition temperature represents the point just before a material becomes superconducting, where electricity can flow through it without resistance. Scientists have been working for decades to push transition temperature closer to room temperature, which would make superconducting technologies more practical and affordable.

Currently, most superconductors must be cooled to extremely low temperatures, making them more expensive and difficult to operate.

UH physicists Ching-Wu Chu and Liangzi Deng published the research in the Proceedings of the National Academy of Sciences earlier this month. It was funded by Intellectual Ventures and the state of Texas via TcSUH and other foundations. Chu, founding director and chief scientist at TcSUH, previously made the breakthrough discovery that the material YBCO reaches superconductivity at minus 93 K in 1987. This helped begin a global competition to develop high-temperature superconductors.

“Transmitting electricity in the grid loses about 8% of the electricity,” Chu, who’s also a professor of physics at UH and the paper’s senior author, said in a news release. “If we conserve that energy, that’s billions of dollars of savings and it also saves us lots of effort and reduces environmental impacts.”

Chu and his team used a technique known as pressure quenching, which has been adapted from techniques used to create diamonds. With pressure quenching, researchers first apply intense pressure to the material to enhance its superconducting properties and raise its transition temperature.

Next, researchers are targeting ambient-pressure, room-temperature superconductivity of around 300 K. In a companion PNAS paper, Chu and Deng point to pressure quenching as a promising approach to help bridge the gap between current results and that goal.

“Room-temperature superconductivity has been seen as a ‘holy grail’ by scientists for over a century,” Rohit Prasankumar, director of superconductivity research at Intellectual Ventures, said in the release. “The UH team’s result shows that this goal is closer than ever before. However, the distance between the new record set in this study and room temperature is still about 140 C. Closing this gap will require concerted, intentional efforts by the broader scientific community, including materials scientists, chemists, and engineers, as well as physicists.”

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This article originally appeared on EnergyCapitalHTX.com.