The project was part of a year-long senior design capstone by six students, known as Team Bay-Max, in Rice's Oshman Engineering Design Kitchen. Photo by Jeff Fitlow/Rice University

A team of Rice University engineering students has developed a new way for underwater robots to move around, save power and work more efficiently and quietly.

The robot uses reversible hydrogen fuel cell-based buoyancy control devices that convert water into hydrogen and oxygen (and the reverse) using electricity. Traditional underwater robots use thrusters or large pumps and propellers to change and hold depth, which can be heavy, have higher costs and use more energy. The use of reversible hydrogen fuel cells with balloons, allows the new robot to smoothly adjust its depth with less energy usage, according to a statement from Rice.

The project was part of a year-long senior design capstone by six students, known as Team Bay-Max, in Rice's Oshman Engineering Design Kitchen.

The students—Andrew Bare, Spencer Darwall, Noah Elzner, Rafe Neathery, Ethan Peck and Dan Zislis— won second place in the Willy Revolution Award for Outstanding Innovation at the Huff OEDK Engineering Design Showcase held at the Ion last month.

“Having spent a year on it now and putting so much time into it, getting to see the result of all that work come together is really rewarding,” Peck said in the statement.

“With a project like this, integration was critical,” Zislis added. “Another takeaway for me is the importance of determining a clear scope for any given project. With this robot, we could have focused on a lot of different things. For instance, we could have worked on improving fuel cell efficiency or making a robotic arm. Instead, we chose to keep these other elements simple so as not to divert focus away from the main part, which is the buoyancy control device. This kind of decision-making process is not just part of good engineering, but it’s relevant with everything in life.”

Elzner, for instance, focused on the dashboard that the robot feeds information to as it collects data from different sensors. It displays core system information, real-time graphs of the robot’s location and a simulation of its relative orientation, according to the statement.

Darwall, took a " deep dive into control theory and learn(ed) new software" to incorporate the video game joystick that allows the robot to combine manual control with an automatic stabilizing algorithm.

The proof-of-concept robot has potential applications in environmental monitoring, oceanographic research, and military and industrial tasks, according to Rice.

The team based the project on an academic paper by Houston researchers that showed that fuel cell-enabled depth control could reduce autonomous underwater vehicles’ energy consumption by as much as 85 percent.

It was authored by Rice professor Fathi Ghorbel and members of the University of Houston's Zheng Chen lab.

“This collaborative research aims to develop tetherless continuum soft engines that utilize reversible proton exchange membrane fuel cells and water electrolyzers to drive volume-mass transformation," Ghorbel said in a statement. "Through this design project, the BayMax team proved the efficacy of this technology in AUV interaction with the physical world.”

Ghorbel, Rice mechanical engineering lecturer David Trevas, and Professor in the Practice, Electrical and Computer and Engineering Gary Woods mentored the team.

Last month Rice also held its 24th annual Rice Business Plan Competition, doling out more than $1.5 million in investment and cash prizes to the top teams. Click here to see what student-led startups took home awards.
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Tesla self-driving mode wasn't to blame in Houston-area crash, report suggests

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Federal safety investigators looking into a runaway Tesla that killed a grandmother in her home say the driver had pressed the accelerator to full speed, suggesting the vehicle's self-driving software was not to blame.

The driver had told police that he had the self-driving software turned on, but a report from the National Transportation Safety Board concluded that he had actually overridden that feature when he pushed hard on the pedal. Moments later the Tesla Model 3 raced down a residential street in Katy, Texas, at highway speeds, slammed into a brick home and killed a 76-year-old woman standing in the front room.

The crash last month drew national attention because Tesla CEO Elon Musk is seeking to reassure the public its self-driving feature is safe as he prepares to turn hundreds of thousands of Teslas already on the road into fully automatic vehicles and begin selling two-seated Cybercabs missing steering wheels and pedals.

The crash came two months after officials at a separate federal agency, the National Highway Traffic Safety Administration, announced it was elevating a 2024 investigation of the self-driving feature to new “engineering analysis” level, raising the possibility of a recall of 3.2 million Tesla vehicles.

That NHTSA probe was triggered by crashes where the self-driving feature failed to alert drivers to take control in fog and other poor visibility conditions.

The agency opened an investigation last year into 58 incidents in which Teslas reportedly violated traffic safety laws while using self-driving technology, leading to more than a dozen crashes and fires and nearly two dozen injuries.

Separate from the National Transportation Safety Board, NHTSA is also looking into the Tesla house crash in Texas, one of 46 “special crash” investigations of Tesla's self-driving or driver-assistance technology in the past decade, according to the agency’s records. In more than a dozen of those crashes, at least one person — a driver, passenger or pedestrian — was killed.

Tesla had originally called its driver assistance software Full Self-Driving, or FSD, but auto experts and regulators complained it was misleading because drivers must always keep their eyes on the road and be ready to take over at any time.

The company has since changed the name to Full Self-Driving (Supervised).

Video of the Katy, Texas, accident shows the Tesla traveling at more than 70 mph (112.65 kilometers per hour), jumping a curb then tearing across a lawn before crushing through a brick wall of a home. A woman standing feet away, Martha Avila, was found amid piles of crumbling plaster, split beams and bits of furniture and rushed to a hospital but died.

Sales of Tesla cars still haven't recovered fully from boycotts last year over Musk's political stands, but the stock is rising anyway as he has successfully shifted attention away from the sales figures. He says they matter less now that the company is on the cusp of major technological advances, such as turning Teslas into hands-free vehicles and having its Optimus robots take over for humans for tasks at home and work.

Tesla stock has risen 22% in the past year and is currently trading at 170 times expected annual earnings compared to 20 for the S&P 500.

For its second-quarter financial results, financial analysts surveyed by FactSet expect earnings per share will barely budge — 32 cents versus 33 cents a year earlier — continuing a sixth quarter streak of flat or falling profits.

London AI startup selects Houston for first U.S. office after $20M raise

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London-based AI firm Applied Computing has announced a $20 million Series A round and a new office in Houston.

The new Bayou City office is Applied Computing’s first in the United States and part of its North American expansion. The company is known for its Orbital AI platform, which is tailored for energy operations.

The funding round was led by Houston-based KBR Inc., with participation from San Francisco-based Databricks Ventures. KBR’s investment was first announced in March.

KBR and Applied Computing have also entered into a multi-year agreement to deliver exclusive AI products for the energy sector. KBR already has integrated Orbital into its INSITE 3.0 platform for energy projects, and is also using the product for ammonia production.

Applied Computing’s Orbital platform combines physics-grounded intelligence with models across chemical engineering, time-series forecasting and language, according to the company. The system analyzes sensor readings and can recognize a facility’s equipment constraints and operator activity. The platform can also allow technicians to run simulations of how a change to a facility could affect the rest of its operations.

According to TechCrunch, Applied Computing will use the $20 million to further explore projects and deployments with the energy sector, hire engineering and research positions, and continue to expand internationally, potentially into the Middle East.

The company is also working on deals with a major U.S. stream operator, TechCrunch reports. And Applied Computing shared on LinkedIn that it plans to announce its first partnership with a major European oil company in the coming weeks.

“Yesterday we showed Orbital live in deployments at our demo day at the Energy Institute in London,” Callum Adamson, CEO and co-founder of Applied Computing, posted on LinkedIn on July 16. “Today, we're announcing the capital to scale it globally as well as the launch of our new offices in Houston and Bangalore. In the weeks following, there will be more announcements on our progress, partnerships and deployments.”

The company opened its Bangalore offices in December.

Texas is no longer America's No. 1 most financially distressed state

Report Rebound

After spending an unfortunate year as the No. 1 state with the most people in financial distress, Texas has slightly recovered. But the Lone Star State isn't out of the woods yet: it's still among the five most financially distressed states in America for 2026.

According to WalletHub's 2026 report, Texas sits in the No. 4 spot this year, while Kansas, Louisiana, and Florida moved up to become the top three states with the most financially distressed residents.

The personal finance website's experts compared all 50 states based on residents' average credit scores, the share of people with "accounts in distress" (meaning an account that's in forbearance or has deferred payments), the one-year change in bankruptcy filings from March 2025, and search interest indexes for "debt" and "loans."

Despite improving in the overall ranking, the study found Texas has had the fourth-biggest spike in bankruptcy filings nationally from March 2025 to March 2026. Texas residents also have the 10th worst average credit scores in the country, according to the findings.

This is how Texas ranked across the study's six key dimensions, where No. 1 means "most distressed:"

  • No. 4 – Change in bankruptcy filings from March 2024 to March 2025 rank
  • No. 5 – Average number of accounts in distress rank
  • No. 8 – "Loans" search interest index rank
  • No. 8 – People with accounts in distress rank
  • No. 12 – Credit score rank
  • No. 13 – “Debt” search interest index rank

It feels like inflation and affordability have been top-of-mind for many Americans over recent years, and uncertainty around the national economy also adds another level of distress. That's especially true for Houston residents, which were dubbed the second most financially distressed people in America earlier in 2026.

"Americans have faced significant financial challenges in recent years, as inflation, shifting unemployment levels, public health emergencies, and natural disasters have made it more difficult for many households to stay on top of their bills," the report said.

The top three states that have the least financially distressed residents are Maine (No. 50), Rhode Island (No. 49), and Hawaii (No. 48).

The top 10 most financially distressed states in America for 2026 are:

  • No. 1 – Kansas
  • No. 2 – Lousiana
  • No. 3 – Florida
  • No. 4 – Texas
  • No. 5 – South Carolina
  • No. 6 – Wyoming
  • No. 7 – Georgia
  • No. 8 – California
  • No. 9 – North Carolina
  • No. 10 – Kentucky
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A version of this article originally appeared on CultureMap.com.