Texas A&M University technology used to prevent outages and wildfires

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Two researches at Texas A&M University have developed a diagnostic software for monitoring electrical equipment to prevent outages and even wildfires. Getty Images

The threat of wildfires is on most people's minds as Australia suffers from devastating, uncontrollable fires in its southeastern region. While Australia's fires are alleged to be caused by natural occurrences, some, like the California wildfires of late 2019, are caused by electrical malfunctions and sparks

Engineers at Texas A&M University have found a solution for preventing these electricity-caused wildfires — and the subsequently caused electrical outages — with their diagnostic software called Distribution Fault Anticipation, or DFA. The software can interpret variations in the electrical current on utility circuits — usually caused by issues with the equipment — that can cause outages or spark fires.

A Texas A&M research team — spearheaded by B. Don Russell, professor of electrical and computer engineering, and research professor Carl L. Benner — is behind the DFA software.

The technology has been tested at over a dozen utilities in Texas over the past six years, according to a news release, and now two Californian utility companies — Pacific Gas & Electric and Southern California Edison — will be testing DFA. In 2018, a state law from the California Public Utilities Commission began requiring utilities to submit Wildfire Mitigation Plans, per the release.

Up next: The researchers are preparing to test the software in Australia and New Zealand.

DFA's specific algorithms are based on and refined through 15 years of research. Russell and Benner liken DFA to the diagnostic tools cars use, and, comparatively, the utilities industry is way behind the times.

"Utility systems operate today like my 1950s Chevy," Russell says in the release. "They have some fuses and breakers and things, but they really don't have anything diagnostic. They don't have that computer under the hood telling them what's about to go wrong."

B. Don Russell, professor of electrical and computer engineering, led the research at A&M. Photo via A&M

Normal wear and tear on electrical equipment is inevitable, but it's hard for inspectors to visually see this damage. Until this DFA software, utilities had no choice but to react to failures or outages, rather than put money into prevention. The software allows for these companies to better see what could potentially cause issues. And, now with the ability to factor in dry conditions and weather, the software can even predict potential wildfires.

"Power is being turned off with nothing known to be wrong with a given circuit," Russell says in the release. "Utilities need a crystal ball, something telling them which circuit is going to start a fire tomorrow because it is already unhealthy. We are kind of that crystal ball."

DFA has the potential to prevent outages and devastation caused by wildfires, and it also is a huge economic solution for utilities companies — especially the ones reeling from the recent fires in California.

Pacific Gas & Electric, which is testing nine DFA devices, is the state's largest utility company and recently filed for bankruptcy due to a near $100 billion required from settlements following recent fires. By comparison, a DFA device costs only $15,000, according to the release.

"DFA is a new tool, allowing utilities to transform their operating procedures to find and fix problems before catastrophic failures." Russell says in the release. "Utilities operators need real time situational awareness of the health of their circuits…..DFA does that."

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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.”

Houston energy trailblazer Fervo closes $462 million Series E

Fresh Funds

Houston-based geothermal energy company Fervo Energy has closed an oversubscribed $462 million series E funding round, led by new investor B Capital.

“Fervo is setting the pace for the next era of clean, affordable, and reliable power in the U.S.,” Jeff Johnson, general partner at B Capital, said in a news release.

“With surging demand from AI and electrification, the grid urgently needs scalable, always-on solutions, and we believe enhanced geothermal energy is uniquely positioned to deliver. We’re proud to support a team with the technical leadership, commercial traction, and leading execution capabilities to bring the world’s largest next-generation geothermal project online and make 24/7 carbon-free power a reality.”

The financing reflects “strong market confidence in Fervo’s opportunity to make geothermal energy a cornerstone of the 24/7 carbon-free power future,” according to the company. The round also included participation from Google, a longtime Fervo Partner, and other new and returning investors like Devon Energy, Mitsui & Co., Ltd., Mitsubishi Heavy Industries and Centaurus Capital. Centaurus Capital also recently committed $75 million in preferred equity to support the construction of Cape Station Phase I, Fervo noted in the release.

The latest funding will support the continued buildout of Fervo’s Utah-based Cape Station development, which is slated to start delivering 100 MW of clean power to the grid beginning in 2026. Cape Station is expected to be the world's largest next-generation geothermal development, according to Fervo. The development of several other projects will also be included in the new round of funding.

“This funding sharpens our path from breakthrough technology to large-scale deployment at Cape Station and beyond,” Tim Latimer, CEO and co-founder of Fervo, added in the news release. “We’re building the clean, firm power fleet the next decade requires, and we’re doing it now.”

Fervo recently won Scaleup of the Year at the 2025 Houston Innovation Awards, and previously raised $205.6 million in capital to help finance the Cape Station earlier this year. The company fully contracted the project's capacity with the addition of a major power purchase agreement from Shell this spring. Fervo’s valuation has been estimated at $1.4 billion and includes investments and support from Bill Gates.

“This new investment makes one thing clear: the time for geothermal is now,” Latimer added in a LinkedIn post. “The world desperately needs new power sources, and with geothermal, that power is clean and reliable. We are ready to meet the moment, and thrilled to have so many great partners on board.”

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This article originally appeared on EnergyCapitalHTX.com.

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

NIH funding

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

The center was originally funded by an NIH grant, and its models have contributed to the discovery of several new rare disease genes and new symptoms caused by known disease genes. It hosts an online portal that allows physicians, families and advocacy groups to nominate genetic variants or rare diseases that need further investigation or new treatments.

Since its founding in 2020, it has received 156 disease/variant nominations, accepted 63 for modeling and produced more than 200 precision models, according to Baylor.

The center plans to use the latest round of funding to bring together more experts in rare disease research, animal modeling and bioinformatics, and to expand its focus and model more complex diseases.

Dr. Jason Heaney, associate professor in the Department of Molecular and Human Genetics at BCM, serves as the lead principal investigator of the center.

“The Department of Molecular and Human Genetics is uniquely equipped to bring together the diverse expertise needed to connect clinical human genetics, animal research and advanced bioinformatics tools,” Heaney added in the release. “This integration allows us to drive personalized medicine forward using precision animal models and to turn those discoveries into better care for patients.”

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