The effect of Hurricane Beryl on Houston's Johnson Space Center, home to the control centers for both NASA and Boeing, also contributed to the delay for NASA test pilots Butch Wilmore and Suni Williams. Photo via Boeing

Two astronauts who should have been back on Earth weeks ago said Wednesday that they’re confident that Boeing’s space capsule can return them safely, despite a string of vexing breakdowns.

NASA test pilots Butch Wilmore and Suni Williams launched aboard Boeing’s new Starliner capsule early last month, the first people to ride it. Helium leaks and thruster failures almost derailed their arrival at the International Space Station, and have kept them there much longer than planned. Now the earliest they could return may be the end of July, officials said.

In their first news conference from orbit, the pair said they expect to return once thruster testing is complete here on Earth. They said they’re not complaining about getting extra time in orbit, and are enjoying helping the station crew. Both have previously spent stints at the orbiting lab, which is also home to seven others.

“I have a real good feeling in my heart that the spacecraft will bring us home, no problem," Williams told reporters.

The test flight should have lasted eight days, ending on June 14.

NASA's commercial crew program director Steve Stich said the earliest the Starliner astronauts might return is the end of July. The goal is to get them back before SpaceX delivers a fresh crew in mid-August, but that, too, could change, he noted.

Hurricane Beryl slowed some of the work. Johnson Space Center in Houston, home to the control centers for both NASA and Boeing, was closed earlier this week to all but the most critical staff.

This week, NASA and Boeing are trying to duplicate the Starliner's thruster problems on a brand new unit at White Sands Missile Range in New Mexico, one of the prime landing sites in the U.S. western desert. The trouble is in the propulsion system, used to maneuver the spacecraft.

Five thrusters failed as the capsule approached the space station on June 6, a day after liftoff. Four have since been reactivated. Wilmore said there should be enough working thrusters to get him and Williams out of orbit. There are also bigger engines that could fill in, if necessary.

“That mantra you’ve heard, failure is not an option, that’s why we are staying here now," Wilmore said. “We trust that the tests that we’re doing are the ones we need to do to get the right answers, to give us the data that we need to come back.”

Boeing and NASA consider the ground tests essential to determine what might have gone wrong since that part of the capsule — the service module — is discarded before landing. The leaks also are located in this disposable section.

So far, testing has not replicated the hot temperatures reached during the flight, according to Stich. Managers want to make sure the suspect thrusters are not damaged, before bringing Starliner back. They were fired more frequently than anticipated early in the flight, and the extra demand on them may have caused them to fail, Stich noted.

At the same time, ground tests are being conducted to better understand the helium leaks, which could stem from bad seals. Officials have previously said there is ample helium left for the trip home.

Boeing's Mark Nappi stressed that in an emergency, Starliner and its crew could return right now. While the company does not believe the thrusters are damaged, "we want to fill in the blanks and run this test to assure ourselves of that."

NASA ordered up the Starliner and SpaceX Dragon capsules a decade ago for astronaut flights to and from the space station, paying each company billions of dollars. SpaceX's first taxi flight with astronauts was in 2020. Boeing's first crew flight was repeatedly delayed because of software and other issues.

There have been no discussions with SpaceX about sending up a rescue capsule, Stich said.

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

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

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health 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. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

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.”