Intuitive Machines, Rhodium Scientific and San Jacinto College will partner to train future workers for space-based pharma recovery. Photo courtesy Intuitive Machines.

Intuitive Machines, a Houston-based space technology, infrastructure and services company, has forged a partnership with San Jacinto College to develop a program for training workers to handle biopharmaceutical materials delivered to Earth on Intuitive Machines’ re-entry vehicle.

Intuitive Machines is working with biotech company Rhodium Scientific on the project. Rhodium, also based in Houston, is developing biomanufacturing payloads for Intuitive Machines’ re-entry vehicle.

“Delivering life-improving pharmaceuticals from orbit is only valuable with reliable recovery and processes on Earth,” Tim Crain, chief technology officer at Intuitive Machines, said in a news release. “That requires more than a spacecraft — it demands the workforce, facilities, and regulatory alignment to support safe, repeatable operations. San Jacinto College has the credibility and technical depth to make this vision a reality.”

San Jacinto College provides training certified by the National Institute for Bioprocessing Research and Training. Christopher Wild, assistant vice chancellor and vice president of biotechnology at San Jacinto College, said that with this certification and the college’s presence at Houston Spaceport, the school “is uniquely positioned to train the workforce needed (for) commercial space-based pharma recovery.”

The first-phase grant supporting Intuitive Machines’ Earth re-entry program will culminate in a full-scale mockup tailored to real payloads and use cases in early 2026.

Intuitive Machines said the collaborations with San Jacinto College and Rhodium “aim to align future landing infrastructure, research opportunities, and funding pathways that deliver lasting economic impact from space.”

Lawrence Schwartz — CEO of Trivie, a tech-enabled workforce training solution — shares how employees forgetting training is one of the biggest challenges for businesses. Photo via Getty Images

Texas expert: Tapping into tech can help you overcome training challenges with your workforce

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Forgetting is the hobgoblin of businesses everywhere. Globally, more than $300 billion is spent annually by companies hoping to train their employees to do their jobs successfully and safely. Yet, learning professionals know that people will forget 80 percent or more of what they learned after 30 to 90 days unless it's reinforced.

It's a human biology problem — people forget. However, if that were the only issue, it would have been solved long ago. Instead, it's a holistic issue that includes how people learn and forget, how people engage with training, and how knowledge gaps are identified and addressed across entire organizations.

How do we get people to remember what we need them to know to do their job more effectively? And how do we do it without it taking up so much of their time that training becomes impossibly expensive?

Therein lies the problem. Neuroscientists have done extensive research on how the brain remembers things long-term, and it's not what most people think.

We've grown up in a culture of cramming. Review the content over and over right before a test, take the test, pass it, and you're done. Check the box. Unfortunately, your brain is done with that material too, and over time, it will purge itself of that information unless you do something about it.

The act of forgetting allows our brains to strengthen their neurological pathways to help us remember. This is called "retrieval practice" and according to Dr. Henry Roediger, one of the authors of the book, Make It Stick: "Retrieval practice via quizzes spaced out over time helps to consolidate knowledge and keep it on employees' 'mental fingertips,' so it is easy to access when needed." In essence, you re-introduce something learned so that the brain "recalls" it, and if done enough over a certain period, it is more likely that people will remember this information longer.

With today's technology, we can automate spaced repetition. Artificial intelligence can predict when people will forget and proactively nudge employees to avoid creating knowledge gaps across organizations. Delivering information in a personalized way, such that every learner has their own proficiency map, enables knowledge retention with very little time expenditure.

It's human nature that when someone knows more, they are more confident in their abilities. This translates to better performance across nearly all use cases within a business. Top salespeople know their product like the back of their hands to identify solutions for customers quickly. The best customer service teams don't just reference knowledge bases; they are familiar with the product, processes, or services that allow them to be responsive and think holistically about issues. The safest work environments are a product of employees knowing what they need to do to keep themselves, and each other, safe. Knowledge retention powers high-performing people and organizations.

Forgetting can never be eliminated. Rather, businesses that leverage forgetting as opportunities to strengthen their people's knowledge will create a culture of continuous learning. Employees will feel more empowered and confident. Knowledge silos will be broken down, and the analog ways that knowledge was retained across peer interactions will become digital. An open network of knowledge will emerge and supplement our brains, making what was once a weakness in human biology, forgetting, an opportunity to remember.

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Lawrence Schwartz is the co-founder and CEO of Texas-based Trivie.

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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.”