Through the project, the UH-led team will use AI can to address issues relating to the "procurement, distribution, access, and utilization of food resources in underserved communities." Photo via uh.edu

The University of Houston announced this month that it will use funds from the National Science Foundation to develop an artificial intelligence program that aims to help food-insecure Texans and eliminate inefficiencies within the food charity system.

The program is backed by a $750,000 grant from the NSF's Convergence Accelerator, which focuses on challenges related to food , nutrition and agriculture. UH's project was among 16 others in the country that received a total of $11 million from the accelerator, which were announced late last year.

The research team from UH includes Norma Olvera, professor of education and a USDA E. Kika de la Garza Fellow; Elizabeth Anderson-Fletcher, associate professor of supply chain management in the C. T. Bauer College of Business and Hobby School of Public Affairs; and Susie Gronseth, professor of education. From the University of Texas is Junfeng Jiao, associate professor and director of the Urban Information Lab in the School of Architecture.

Alison Reese, executive director of digital fundraising nonprofit Souper Bowl of Caring, is also partnering with the team on the project.

Through the project, the UH-led team will use AI can to address issues relating to the "procurement, distribution, access, and utilization of food resources in underserved communities," according to the project's abstract.

In addition to meeting nutritional needs in the community, the team also is focused on finding better ways to address cultural preferences among food-insecure individuals. It will also look to streamline efforts and improve supply chain issues among food charities.

The program will also look to use food delivery services, like DoorDash, and award food donors with NFTs.

"The commitment of our team is to help our fellow neighbors," Ioannis Kakadiaris, principal investigator and Hugh Roy and Lillie Cranz Cullen Distinguished University Professor of Computer Science at UH's College of Natural Sciences and Mathematics, said in a statement. "This is evident in everything we do and permeates all our work."

Currently the team has been funded through Phase 1, which allows them to develop proofs of concept and early-stage prototyping, identify new partners and participate in curriculum from NSF.

Teams that have been awarded funds from the Convergence Accelerator will have an opportunity to submit proposals for up to $5 million in funding for Phase 2.

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Houston VC funding surged nearly 50% in Q1 2026, report says

VC victories

First-quarter venture capital funding for Houston-area startups climbed nearly 50 percent compared to the same time last year, according to the PitchBook-NVCA Venture Monitor.

In Q1 2026, Houston-area startups raised $532.3 million, a 49 percent jump from $320.2 million in Q1 2025, according to the PitchBook-NVCA Venture Monitor.

However, the Q1 total fell 23 percent from the $671.05 million raised in Q4 2025.

Among the first-quarter funding highlights in Houston were:

  • Utility Global, which focuses on industrial decarbonization, announced a first close of $100 million for its Series D round.
  • Sage Geosystems raised a $97 million Series B round to support its geothermal energy storage technology.

Those funding rounds underscore Houston’s evolution as a magnet for VC in the energy sector.

“Today, the energy sector is increasingly extending into the startup economy as venture capital flows into companies developing the technologies that will shape the future of global energy,” the Greater Houston Partnership says.

The energy industry accounted for nearly 40 percent of Houston-area VC funding last year, according to market research and lead generation service Growth List.

Adding to Houston’s stature in VC for energy startups are investors like Chevron Technology Ventures, the investment arm of Houston-based oil and gas giant Chevron; Goose Capital; Mercury Fund; and Quantum Energy Partners.

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."