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

guest column

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 researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”

12 winners named at CERAWeek clean tech pitch competition in Houston

top teams

Twelve teams from around the country, including several from Houston, took home top honors at this year's Energy Venture Day and Pitch Competition at CERAWeek.

The fast-paced event, held March 25, put on by Rice Alliance, Houston Energy Transition Initiative and TEX-E, invited 36 industry startups and five Texas-based student teams focused on driving efficiency and advancements in the energy transition to present 3.5-minute pitches before investors and industry partners during CERAWeek's Agora program.

The competition is a qualifying event for the Startup World Cup, where teams compete for a $1 million investment prize.

PolyJoule won in the Track C competition and was named the overall winner of the pitch event. The Boston-based company will go on to compete in the Startup World Cup held this fall in San Francisco.

PolyJoule was spun out of MIT and is developing conductive polymer battery technology for energy storage.

Rice University's Resonant Thermal Systems won the second-place prize and $15,000 in the student track, known as TEX-E. The team's STREED solution converts high-salinity water into fresh water while recovering valuable minerals.

Teams from the University of Texas won first and second place in the TEX-E competition, bringing home $25,000 and $10,000, respectively. The student winners were:

Companies that pitched in the three industry tracts competed for non-monetary awards. Here are the companies named "most-promising" by the judges:

Track A | Industrial Efficiency & Decarbonization

Track B | Advanced Manufacturing, Materials, & Other Advanced Technologies

  • First: Licube, based in Houston
  • Second: ZettaJoule, based in Houston and Maryland
  • Third: Oleo

Track C | Innovations for Traditional Energy, Electricity, & the Grid

The teams at this year's Energy Venture Day have collectively raised $707 million in funding, according to Rice. They represent six countries and 12 states. See the full list of companies and investor groups that participated here.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.