University of Houston launches innovation lab focused on the shopping experience

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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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Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”

Houston energy trailblazer Fervo closes $462 million Series E

Fresh Funds

Houston-based geothermal energy company Fervo Energy has closed an oversubscribed $462 million series E funding round, led by new investor B Capital.

“Fervo is setting the pace for the next era of clean, affordable, and reliable power in the U.S.,” Jeff Johnson, general partner at B Capital, said in a news release.

“With surging demand from AI and electrification, the grid urgently needs scalable, always-on solutions, and we believe enhanced geothermal energy is uniquely positioned to deliver. We’re proud to support a team with the technical leadership, commercial traction, and leading execution capabilities to bring the world’s largest next-generation geothermal project online and make 24/7 carbon-free power a reality.”

The financing reflects “strong market confidence in Fervo’s opportunity to make geothermal energy a cornerstone of the 24/7 carbon-free power future,” according to the company. The round also included participation from Google, a longtime Fervo Partner, and other new and returning investors like Devon Energy, Mitsui & Co., Ltd., Mitsubishi Heavy Industries and Centaurus Capital. Centaurus Capital also recently committed $75 million in preferred equity to support the construction of Cape Station Phase I, Fervo noted in the release.

The latest funding will support the continued buildout of Fervo’s Utah-based Cape Station development, which is slated to start delivering 100 MW of clean power to the grid beginning in 2026. Cape Station is expected to be the world's largest next-generation geothermal development, according to Fervo. The development of several other projects will also be included in the new round of funding.

“This funding sharpens our path from breakthrough technology to large-scale deployment at Cape Station and beyond,” Tim Latimer, CEO and co-founder of Fervo, added in the news release. “We’re building the clean, firm power fleet the next decade requires, and we’re doing it now.”

Fervo recently won Scaleup of the Year at the 2025 Houston Innovation Awards, and previously raised $205.6 million in capital to help finance the Cape Station earlier this year. The company fully contracted the project's capacity with the addition of a major power purchase agreement from Shell this spring. Fervo’s valuation has been estimated at $1.4 billion and includes investments and support from Bill Gates.

“This new investment makes one thing clear: the time for geothermal is now,” Latimer added in a LinkedIn post. “The world desperately needs new power sources, and with geothermal, that power is clean and reliable. We are ready to meet the moment, and thrilled to have so many great partners on board.”

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This article originally appeared on EnergyCapitalHTX.com.

Baylor center receives $10M NIH grant to continue rare disease research

NIH funding

Baylor College of Medicine’s Center for Precision Medicine Models received a $10 million, five-year grant from the National Institutes of Health last month that will allow it to continue its work studying rare genetic diseases.

The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments.

The center was originally funded by an NIH grant, and its models have contributed to the discovery of several new rare disease genes and new symptoms caused by known disease genes. It hosts an online portal that allows physicians, families and advocacy groups to nominate genetic variants or rare diseases that need further investigation or new treatments.

Since its founding in 2020, it has received 156 disease/variant nominations, accepted 63 for modeling and produced more than 200 precision models, according to Baylor.

The center plans to use the latest round of funding to bring together more experts in rare disease research, animal modeling and bioinformatics, and to expand its focus and model more complex diseases.

Dr. Jason Heaney, associate professor in the Department of Molecular and Human Genetics at BCM, serves as the lead principal investigator of the center.

“The Department of Molecular and Human Genetics is uniquely equipped to bring together the diverse expertise needed to connect clinical human genetics, animal research and advanced bioinformatics tools,” Heaney added in the release. “This integration allows us to drive personalized medicine forward using precision animal models and to turn those discoveries into better care for patients.”

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