Rice University's new Bachelor of Science in AI will be one of only a few in the country. Photo via Getty Images.

Rice University announced this month that it plans to introduce a Bachelor of Science in AI in the fall 2025 semester.

The new degree program will be part of the university's department of computer science in the George R. Brown School of Engineering and Computing and is one of only a few like it in the country. It aims to focus on "responsible and interdisciplinary approaches to AI," according to a news release from the university.

“We are in a moment of rapid transformation driven by AI, and Rice is committed to preparing students not just to participate in that future but to shape it responsibly,” Amy Dittmar, the Howard R. Hughes Provost and executive vice president for academic affairs, said in the release. “This new major builds on our strengths in computing and education and is a vital part of our broader vision to lead in ethical AI and deliver real-world solutions across health, sustainability and resilient communities.”

John Greiner, an assistant teaching professor of computer science in Rice's online Master of Computer Science program, will serve as the new program's director. Vicente Ordóñez-Román, an associate professor of computer science, was also instrumental in developing and approving the new major.

Until now, Rice students could study AI through elective courses and an advanced degree. The new bachelor's degree program opens up deeper learning opportunities to undergrads by blending traditional engineering and math requirements with other courses on ethics and philosophy as they relate to AI.

“With the major, we’re really setting out a curriculum that makes sense as a whole,” Greiner said in the release. “We are not simply taking a collection of courses that have been created already and putting a new wrapper around them. We’re actually creating a brand new curriculum. Most of the required courses are brand new courses designed for this major.”

Students in the program will also benefit from resources through Rice’s growing AI ecosystem, like the Ken Kennedy Institute, which focuses on AI solutions and ethical AI. The university also opened its new AI-focused "innovation factory," Rice Nexus, earlier this year.

“We have been building expertise in artificial intelligence,” Ordóñez-Román added in the release. “There are people working here on natural language processing, information retrieval systems for machine learning, more theoretical machine learning, quantum machine learning. We have a lot of expertise in these areas, and I think we’re trying to leverage that strength we’re building.”

Tempest Droneworx won the Best Speed Pitch award at SXSW Pitch earlier this year. Photo via LinkedIn.

Here's what's next for Houston’s Tempest Droneworx after SXSW Pitch win

winner, winner

It’s not easy to be a standout at South by Southwest, especially during SXSW Interactive, which is the subsection of the festival that focuses on new media, technology and entrepreneurship.

But it’s even more difficult to win at SXSW Pitch, the competition for startups and entrepreneurs that showcases innovative new technology to a panel of industry experts, high-profile media professionals, venture capital investor, and angel investors.

Tempest Droneworx, a Houston-based company that provides real-time intelligence collected through drones, robots and sensors, did just that in March, taking home the Best Speed Pitch award. It was also named a finalist and alternate in the full SXSW Pitch competition. The company is known for it flagship product, Harbinger, a software solution that agnostically gathers data at virtually any scale and presents that data in easy-to-understand visualizations using a video game engine.

Tempest CEO and founder Ty Audronis says his company won based on its merits and the impact it’s making and will make on the world. Audronis founded the company after his hometown of Paradise, California, was destroyed by a wildfire in 2018.

“(SXSW) was a huge moment for our team,” says Audronis, whose background is in science visualization, data visualization and visual effects for the movie industry. “This is about what everyone at Tempest Droneworx has created, and our mission to make sure that issues—like the one that befell Paradise, California, my hometown, and the inspiration for our Harbinger software—don’t become the full-blown (disasters)."

Audronis shares that the company is working to release an agriculture beta this summer and is raising a Tactical Funding Increase (TACFI) round through the AFWERX, the Department of the Air Force’s innovation arm.

Tempest’s Harbinger is impressing investors and clients alike, but what is it exactly and what does it do?

The best way to explain the solution is in how it’s redefining the agriculture space. Tempest has deployed the product at Grand Farm in North Dakota, an agtech operation that seeks to promote sustainable, climate-resilient farming using applied technology.

“We decided to go down the road of agriculture,” Audronis says. “We're currently installed at the Grand Farm in North Dakota, which is a farm that is very closely tied to Microsoft. They do third-party verification of new soils and fertilizers, and we are helping them with visualizing the data that they're getting from their sensors.”

Additionally, Audronis and his co-founder and wife, Dana Abramovitz, spearhead a pilot program at Doubting Thomas Farms, an organic farm in Minnesota, where the company has installed 22 in-ground sensors that can measure volatile organic emissions.

To further optimize their solutions approach, Tempest Droneworx will also train artificial intelligence to look for overspray from neighboring non-organic farms. This will help maintain organic certification and reduce insurance claims for lost crops.

“This will save Doubting Thomas Farms and other organic farms a boatload of cash,” Audronis says.

During an exclusive tour with InnovationMap, Audronis pulled up a live feed of sensors buried around the Minnesota farm up on the conference room display. The feed did, in fact, look like a video game, with the sensors giving real-time data about the farm’s temperature, moisture level, humidity, CO2 and nitrogen.

Harbinger will collect, extract and extrapolate all of the data and later provide a digital almanac for farmers to track the history of their crops.

As the office tour continued, Audronis pointed out the company’s expanding partnership with the U.S. Military.

As a retired U.S. Navy veteran with over two decades of experience designing, building and piloting drones, Audronis understands that Harbinger has multiple military applications that will ultimately save lives—a core tenet of his company’s mission.

The company has launched a robotic dog known as UBU, developed by Tempest partner Ghost Robotics, that enables faster, more accurate ground surveys for explosive devices. This task previously required multiple airmen and hours to complete, Audronis says.

With agriculture and military initiatives in progress and making an impact, Audronis hopes to one day bring his original vision for Tempest Droneworx and Harbinger full circle by getting the call to combat California’s next catastrophic wildfire.

“We're proving our technology in military and in agriculture right now,” Audronis says. “Eventually, I would like to still save some lives with wildfire. That's really the purpose of the company … Whether it's agriculture, smart cities, the bottom line is saving lives through real-time situational awareness."

Axiom Space and Intuitive Machines have shared updates on some of their latest projects. Photo courtesy of NASA

Houston space tech startups share latest updates on lunar missions and more

space update

Houston-based space tech companies Axiom Space and Intuitive Machines recently shared updates on innovative projects and missions, each set to launch by 2027.

Axiom Space

Axiom Space, developer of the world’s first commercial space station and other space infrastructure, is gearing up to launch two orbital data center nodes to low-earth orbit by the end of 2025.

The Axiom Space nodes will lay the foundation for space-based cloud computing. Axiom says orbital data centers provide cloud-enabled data storage and processing, artificial intelligence, and machine learning directly to satellites, constellations, and other spacecraft in Earth’s orbit. This innovation will reduce reliance on earth-based systems, enhance wireless mesh networks and improve real-time operation of space-borne assets, according to Axiom.

Axiom has been working on the development of orbital data centers since 2022. The two nodes going into space in 2025 will be part of Kepler Communications’ 10-satellite data relay network, which is scheduled to launch by the end of this year. Axiom Space and Kepler Communications have been collaborating since 2023.

Kam Ghaffarian, co-founder, executive chairman, and CEO of Axiom, says his company already has deals in place with buyers of space-based cloud computing services. Orbital data centers “are integral to Axiom Space’s vision of era-defining space infrastructure, unlocking transformational capabilities and economic growth,” he says.

Axiom Space says it will be able to buy additional payloads on Kepler’s network to boost capacity for orbital data centers. The two companies will team up to provide network and orbital data center services to various customers.

Intuitive Machines

Meanwhile, Intuitive Machines, a space exploration, infrastructure and services company, has picked SpaceX’s Falcon 9 rocket to launch its fourth delivery mission to the moon. The launch will include two lunar data relay satellites for NASA.

Intuitive Machines says its fourth lunar delivery mission is scheduled for 2027. The mission will comprise six NASA commercial lunar payloads, including a European Space Agency drill set designed to search for water at the moon’s south pole.

“Lunar surface delivery and data relay satellites are central to our strategy to commercialize the moon,” Intuitive Machines CEO Steve Altemus says.

The first of five lunar data relay satellites will be included in the company’s third delivery mission to the moon. The fourth mission, featuring two more satellites, will be followed by two other satellite-delivery missions.

Nvidia will produce AI supercomputers in the U.S. for the first time. Getty Images

Nvidia announces plans to produce AI supercomputers at new Texas plants

Manufacturing News

Nvidia announced Monday that it will produce its artificial intelligence supercomputers in the United States for the first time.

The tech giant said it has commissioned more than 1 million square feet of manufacturing space to build and test its specialized Blackwell chips in Arizona and AI supercomputers in Texas — part of an investment the company said will produce up to half a trillion dollars of AI infrastructure in the next four years.

“The engines of the world’s AI infrastructure are being built in the United States for the first time,” Nvidia founder Jensen Huang said in a statement. “Adding American manufacturing helps us better meet the incredible and growing demand for AI chips and supercomputers, strengthens our supply chain and boosts our resiliency.”

Nvidia’s announcement comes as the Trump administration has said that tariff exemptions on electronics like smartphones and laptops are only a temporary reprieve until officials develop a new tariff approach specific to the semiconductor industry.

White House officials, including President Donald Trump himself, spent Sunday downplaying the significance of exemptions that lessen but won’t eliminate the effect of U.S. tariffs on imports of popular consumer devices and their key components.

“They’re exempt from the reciprocal tariffs but they’re included in the semiconductor tariffs, which are coming in probably a month or two,” U.S. Commerce Secretary Howard Lutnick told ABC’s “This Week” on Sunday.

Nvidia said in a post on its website that it has started Blackwell production at Taiwan Semiconductor Manufacturing Co. chip plants in Phoenix. The Santa Clara, California-based chip company is also building supercomputer manufacturing plants in Texas — with Foxconn in Houston and Wistron in Dallas.

Nvidia's AI super computers will serve as the engines for AI factories, “a new type of data center created for the sole purpose of processing artificial intelligence,” the company said, adding that manufacturing in the U.S. will create “hundreds of thousands of jobs and drive trillions of dollars in economic security over the coming decades."

Mass production at both plants is expected to ramp up in the next 12-15 months, Nvidia said. The company also plans on partnering with Taiwan-based company SPIL and Amkor for “packaging and testing operations” in Arizona.

In a statement Monday, the White House called Nvidia’s move “the Trump Effect in action.”

Trump “has made U.S.-based chips manufacturing a priority as part of his relentless pursuit of an American manufacturing renaissance, and it’s paying off — with trillions of dollars in new investments secured in the tech sector alone,” the White House said.

Earlier this year, Trump announced a joint venture investing up to $500 billion for infrastructure tied to artificial intelligence by a new partnership formed by OpenAI, Oracle and SoftBank. The new entity, Stargate, was tasked with building out data centers and the electricity generation needed for the further development of the fast-evolving AI in Texas, according to the White House.

The initial investment is expected to be $100 billion and could reach five times that sum.

Texans appear to be OK with embracing AI. Image via Getty Images

New report reveals how much Texans are warming up to AI

eyes on ai

When new technology emerges, many of us approach it with a certain amount of skepticism. That’s certainly true with artificial intelligence, which is creeping into practically every part of our existence. Pew Research Center surveys show that more than half (52 percent) of Americans are increasingly cautious about the growing presence of AI in their everyday lives.

So, how wary are Texans of AI? A new ranking from ZapCap, whose AI generates captions for videos, gives us a clue. Texas ranks 15th among the states that are most trusting of AI, with a trust score of 85 out of 100.

Translation: Texans appear to be OK with embracing AI.

To develop the ranking, ZapCap collected search volume data for AI-related queries, including terms such as “best AI tools,” “best AI assistants,” “how to use AI” and “ChatGPT.” ZapCap then calculated a trust score based on each state’s search activity and population.

“This research provides an insightful look into AI engagement patterns across the U.S., highlighting the states where AI is most actively explored and potentially trusted,” says ZapCap.

With an off-the-charts score of 116, California tops the list. California “demonstrates extraordinary AI engagement with over 44 million ChatGPT searches and 77,910 Claude.AI queries, marking the highest AI tool adoption rates across all metrics,” says ZapCap.

Here’s the rest of the top five, including their AI trust scores:

  • New York — 108
  • Massachusetts — 106
  • Virginia — 102
  • New Jersey — 99

The state with the least amount of AI trust is Minnesota, which received a ZapCap score of 22.

“What’s fascinating is that innovation is blooming far beyond the usual tech hotspots,” ZapCap’s Jessica Bui said in a release. “While California and New York continue to lead, states like Massachusetts and Virginia are rising as innovation powerhouses. Their rapid adoption of new technology proves that it's not about market size — it’s about fostering a culture where businesses and everyday people feel confident exploring what's next.”

See the full findings here.

ChatGPT enhances creativity and problem-solving in ways that traditional search tools can’t match. Photo courtesy of Rice Business Wisdom

Houston researchers find AI provides fresh perspectives to everyday problems

houston voices

We all know ChatGPT has forever changed how we do business. It’s modified how we access information, compose content and analyze data. It’s revolutionized the future of work and education. And it has transformed the way we interact with technology.

Now, thanks to a recent paper by Jaeyeon (Jae) Chung (Rice Business), we also know it’s making us better problem solvers.

Key findings:

  • A recent study finds ChatGPT-generated ideas are deemed an average of 15% more creative than traditional methods.
  • ChatGPT enhances “incremental,” but not “radical,” innovation.
  • ChatGPT boosts creativity in tasks normally associated with human traits, like empathy-based challenges.

According to the study published in Nature Human Behavior by Chung and Byung Cheol Lee (University of Houston), ChatGPT enhances our problem-solving abilities, especially with everyday challenges. Whether coming up with gifts for your teenage niece or pondering what to do with an old tennis racquet, ChatGPT has a unique ability to generate creative ideas.

“Creative problem-solving often requires connecting different concepts in a cohesive way,” Chung says. “ChatGPT excels at this because it pulls from a vast range of data, enabling it to generate new combinations of ideas.”

Can ChatGPT Really Make Us More Creative?

Chung and Lee sought to answer a central question: Can ChatGPT help people think more creatively than traditional search engines? To answer this, they conducted five experiments.

Each experiment asked participants to generate ideas for solving challenges, such as how to repurpose household items. Depending on the experiment, participants were divided into one of two or three groups: one that used ChatGPT; one that used conventional web search tools (e.g., Google); and one that used no external tool at all. The resulting ideas were evaluated by both laypeople and business experts based on two critical aspects of creativity: originality and appropriateness (i.e., practicality).

In one standout experiment, participants were asked to come up with an idea for a dining table that doesn’t exist on the market. The ChatGPT group came up with suggestions like a “rotating table,” a “floating table” and even “a table that adjusts its height based on the dining experience.” According to both judges and experts, the ChatGPT group consistently delivered the most creative solutions.

On average, across all experiments, ideas generated with ChatGPT were rated 15% more creative than those produced by traditional methods. This was true even when tasks were specifically designed to require empathy or involved multiple constraints — tasks we typically assume humans might be better at performing.

However, Chung and Lee also found a caveat: While ChatGPT excels at generating ideas that are “incrementally” new — i.e., building on existing concepts — it struggles to produce “radically” new ideas that break from established patterns. “ChatGPT is an incredible tool for tweaking and improving existing ideas, but when it comes to disruptive innovation, humans still hold the upper hand,” Chung notes.

Charting the Next Steps in AI and Creativity

Chung and Lee’s paper opens the door to many exciting avenues for future study. For example, researchers could explore whether ChatGPT’s creative abilities extend to more complex, high-stakes problem-solving environments. Could AI be harnessed to develop groundbreaking solutions in fields like medicine, engineering or social policy? Understanding the nuances of the collaboration between humans and AI could shape the future of education, work and even (as many people fear) art.

For professionals in creative fields like product design or marketing, the study holds especially significant implications. The ability to rapidly generate fresh ideas can be a game-changer in industries where staying ahead of trends is vital. For now, take a second before you throw out that old tennis racquet. Ask ChatGPT for inspiration — you’ll be surprised at how many ideas it comes up with, and how quickly.

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This article originally appeared on Rice Business Wisdom. Based on research by Jaeyeon (Jae) Chung and Byung Cheol Lee (University of Houston). Lee and Chung, “An empirical investigation of the impact of ChatGPT on creativity.” Nature Human Behavior (2024): https://doi.org/10.1038/s41562-024-01953-1.


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UH student earns prestigious award for cancer vaccine research

up-and-comer

Cole Woody, a biology major in the College of Natural Sciences and Mathematics at the University of Houston, has been awarded a Barry Goldwater Scholarship, becoming the first sophomore in UH history to earn the prestigious prize for research in natural sciences, mathematics and engineering.

Woody was recognized for his research on developing potential cancer vaccines through chimeric RNAs. The work specifically investigates how a vaccine can more aggressively target cancers.

Woody developed the MHCole Pipeline, a bioinformatic tool that predicts peptide-HLA binding affinities with nearly 100 percent improvement in data processing efficiency. The MHCole Pipeline aims to find cancer-specific targets and develop personalized vaccines. Woody is also a junior research associate at the UH Sequencing Core and works in Dr. Steven Hsesheng Lin’s lab at MD Anderson Cancer Center.

“Cole’s work ethic and dedication are unmatched,” Preethi Gunaratne, director of the UH Sequencing Core and professor of Biology & Biochemistry at NSM, said in a news release. “He consistently worked 60 to 70 hours a week, committing himself to learning new techniques and coding the MHCole pipeline.”

Woody plans to earn his MD-PhD and has been accepted into the Harvard/MIT MD-PhD Early Access to Research Training (HEART) program. According to UH, recipients of the Goldwater Scholarship often go on to win various nationally prestigious awards.

"Cole’s ability to independently design and implement such a transformative tool at such an early stage in his career demonstrates his exceptional technical acumen and creative problem-solving skills, which should go a long way towards a promising career in immuno-oncology,” Gunaratne added in the release.

Houston founder on shaping the future of medicine through biotechnology and resilience

Guest Column

Living with chronic disease has shaped my life in profound ways. My journey began in 5th grade when I was diagnosed with Scheuermann’s disease, a degenerative disc condition that kept me sidelined for an entire year. Later, I was diagnosed with hereditary neuropathy with liability to pressure palsies (HNPP), a condition that significantly impacts nerve recovery. These experiences didn’t just challenge me physically, they reshaped my perspective on healthcare — and ultimately set me on my path to entrepreneurship. What started as personal health struggles evolved into a mission to transform patient care through innovative biotechnology.

A defining part of living with these conditions was the diagnostic process. I underwent nerve tests that involved electrical shocks to my hands and arms — without anesthesia — to measure nerve activity. The pain was intense, and each test left me thinking: There has to be a better way. Even in those difficult moments, I found myself thinking about how to improve the tools and processes used in healthcare.

HNPP, in particular, has been a frustrating condition. For most people, sleeping on an arm might cause temporary numbness that disappears in an hour. For me, that same numbness can last six months. Even more debilitating is the loss of strength and fine motor skills. Living with this reality forced me to take an active role in understanding my health and seeking solutions, a mindset that would later shape my approach to leadership.

Growing up in Houston, I was surrounded by innovation. My grandfather, a pioneering urologist, was among the first to introduce kidney dialysis in the city in the 1950s. His dedication to advancing patient care initially inspired me to pursue medicine. Though my path eventually led me to healthcare administration and eventually biotech, his influence instilled in me a lifelong commitment to medicine and making a difference.

Houston’s thriving medical and entrepreneurial ecosystems played a critical role in my journey. The city’s culture of innovation and collaboration provided opportunities to explore solutions to unmet medical needs. When I transitioned from healthcare administration to founding biotech companies, I drew on the same resilience I had developed while managing my own health challenges.

My experience with chronic disease also shaped my leadership philosophy. Rather than accepting diagnoses passively, I took a proactive approach questioning assumptions, collaborating with experts, and seeking new solutions. These same principles now guide decision-making at FibroBiologics, where we are committed to developing groundbreaking therapies that go beyond symptom management to address the root causes of disease.

The resilience I built through my health struggles has been invaluable in navigating business challenges. While my early career in healthcare administration provided industry insights, launching and leading companies required the same determination I had relied on in my personal health journey.

I believe the future of healthcare lies in curative treatments, not just symptom management. Fibroblast cells hold the promise of engaging the body’s own healing processes — the most powerful cure for chronic diseases. Cell therapy represents both a scientific breakthrough and a significant business opportunity, one that has the potential to improve patient outcomes while reducing long-term healthcare costs.

Innovation in medicine isn’t just about technology; it’s about reimagining what’s possible. The future of healthcare is being written today. At FibroBiologics, our mission is driven by more than just financial success. We are focused on making a meaningful impact on patients’ lives, and this purpose-driven approach helps attract talent, engage stakeholders, and differentiate in the marketplace. Aligning business goals with patient needs isn’t just the right thing to do, it’s a powerful model for sustainable growth and lasting innovation in biotech.

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Pete O’Heeron is the CEO and founder of FibroBiologics, a Houston-based regenerative medicine company.


Houston researchers make headway on affordable, sustainable sodium-ion battery

Energy Solutions

A new study by researchers from Rice University’s Department of Materials Science and NanoEngineering, Baylor University and the Indian Institute of Science Education and Research Thiruvananthapuram has introduced a solution that could help develop more affordable and sustainable sodium-ion batteries.

The findings were recently published in the journal Advanced Functional Materials.

The team worked with tiny cone- and disc-shaped carbon materials from oil and gas industry byproducts with a pure graphitic structure. The forms allow for more efficient energy storage with larger sodium and potassium ions, which is a challenge for anodes in battery research. Sodium and potassium are more widely available and cheaper than lithium.

“For years, we’ve known that sodium and potassium are attractive alternatives to lithium,” Pulickel Ajayan, the Benjamin M. and Mary Greenwood Anderson Professor of Engineering at Rice, said in a news release. “But the challenge has always been finding carbon-based anode materials that can store these larger ions efficiently.”

Lithium-ion batteries traditionally rely on graphite as an anode material. However, traditional graphite structures cannot efficiently store sodium or potassium energy, since the atoms are too big and interactions become too complex to slide in and out of graphite’s layers. The cone and disc structures “offer curvature and spacing that welcome sodium and potassium ions without the need for chemical doping (the process of intentionally adding small amounts of specific atoms or molecules to change its properties) or other artificial modifications,” according to the study.

“This is one of the first clear demonstrations of sodium-ion intercalation in pure graphitic materials with such stability,” Atin Pramanik, first author of the study and a postdoctoral associate in Ajayan’s lab, said in the release. “It challenges the belief that pure graphite can’t work with sodium.”

In lab tests, the carbon cones and discs stored about 230 milliamp-hours of charge per gram (mAh/g) by using sodium ions. They still held 151 mAh/g even after 2,000 fast charging cycles. They also worked with potassium-ion batteries.

“We believe this discovery opens up a new design space for battery anodes,” Ajayan added in the release. “Instead of changing the chemistry, we’re changing the shape, and that’s proving to be just as interesting.”

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This story originally appeared on EnergyCapitalHTX.com.