Texas A&M will work with DARPA to test fully automated and semi-automated helicopters to combat wildfires in the state. Image by Colie Wertz. Courtesy DARPA.

Texas A&M University's George H.W. Bush Combat Development Complex will receive $59.8 million to develop a way for autonomous helicopters to fight to wildfires in the state.

The funds appropriated from the Texas legislature will go toward acquiring up to four UH-60 Blackhawk helicopters and developing their autonomous configuration, as well as to facilities, tools and equipment for research, testing and integration of firefighting capabilities over the next two years, according to a release from Texas A&M.

The BCDC was also selected to work with the Defense Advanced Research Projects Agency (DARPA) on its Aircrew Labor In-cockpit Automation System (ALIAS), which works to reduce risks for pilots and aircraft in high-risk missions.

"Working together with Texas, we have an opportunity to use autonomous helicopters to completely change the conversation around wildfires from containing them to extinguishing them,” Stuart Young, DARPA program manager for ALIAS, said in a release from DARPA.

The BCDC program will incorporate DARPA's automation toolkit, known as MATRIX, which has already demonstrated fully autonomous flight capabilities on approximately 20 aircraft platforms. MATRIX, which was developed by California-based Sikorsky Aircraft, was previously tested in proof-of-concept demonstrations of autonomous fire suppression in California and Connecticut earlier this year, according to DARPA.

“I am proud we are working with DARPA in a manner that will benefit Texas, the Department of Defense, and commercial industry,” retired Maj. Gen. Tim Green, director of the BCDC, said in the release. “Wildland firefighting will be the first mission application fully developed to take advantage of over a decade of work by DARPA on its Aircrew Labor In-cockpit Automation System (ALIAS).”

The BDC will test fully automated and semi-automated ALIAS-equipped aircraft on highly complex firefighting tasks. The complex will also work with Texas A&M University–Corpus Christi’s Autonomy Research Institute, the Texas Division of Emergency Management, the Texas A&M Engineering Extension Service, the Texas A&M Forest Service and the Texas A&M Engineering Experiment Station on the project.

John Diem, director of the innovation proving grounds at BCDC, will serve as principal investigator for the project.

“Advancing system capabilities through the last stages of technology maturation, operational testing, and concept development is always hugely exciting and rewarding,” Diem added in the release. “The best part of my career has been seeing systems I tested move into the hands of warfighters. Now, I’m proud to help ensure ALIAS is safe and effective in protecting life and property – and we will do that through realistic and challenging testing.”

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

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

hot tech

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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Austin company to bring AI-powered school to The Woodlands

AI education

Austin-based Alpha School, which operates AI-powered private schools, is opening its first Houston-area location in The Woodlands.

The 8,000-square-foot school, scheduled to be ready for the 2026-27 academic year, initially will serve students in kindergarten through eighth grade. Alpha says the school will offer “open workshop spaces and innovative classrooms that support personalized instruction, core academics, leadership development, and real-world life skills.”

Alpha sets aside two hours each school day for the AI-driven, self-paced study of core subjects like math, reading and science. The rest of each school day consists of life-skills workshops focusing on topics such as leadership and financial literacy.

Alpha’s school in The Woodlands has begun accepting applications for the 2026-27 school year. Annual tuition costs $40,000.

“The Woodlands is one of the most dynamic, forward-thinking communities in Texas, and Alpha is proud to bring

an innovative educational model that complements its strong academic foundation,” says Rachel Goodlad, head

of expansion for Alpha.

Founded in 2014, Alpha School combines adaptive technology-driven instruction with immersive life-skills workshops. Its model emphasizes mastery-based learning in core subjects alongside development of communication, critical thinking, financial literacy and leadership skills. It operates more than 15 schools across the country.

Elsewhere in Texas, Alpha operates schools in Austin, Brownsville, Fort Worth and Plano. Alpha also operates 12 Texas Sports Academy campuses in Texas, including locations in Houston, Pearland and Richmond, along with a NextGen Academy esports school in Austin, a school for gifted students in Georgetown, and lower-cost Nova Academy campuses in Austin and Bastrop.

Alpha has fans and critics. While supporters tout students’ high achievement rates, detractors complain about the high tuition and the AI-influenced depersonalization of education.

“Students and our country need to be in relationship with other human beings,” Randi Weingarten, president of the American Federation of Teachers, a teachers union, tells The New York Times. “When you have a school that is strictly AI, it is violating that core precept of the human endeavor and of education.”

Alpha co-founder MacKenzie Price, a podcaster and social media influencer, doesn’t share Weingarten’s views.

“Parents and teachers: We need to embrace this change,” Price wrote after President Trump signed an executive order promoting AI in schools.

The Times notes that Alpha doesn’t employ AI as a tutor or a supplement. Rather, the newspaper says, AI is “the school’s primary educational driver to move students through academic content.”

Houston researcher secures $1.7M to develop drug for aggressive form of breast cancer

cancer research

A University of Houston researcher has joined a $3.2 million effort to develop a new drug designed to attack a cancer-driving protein commonly found in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is one of the most difficult-to-treat forms of cancer and accounts for 10 percent to 15 percent of all breast cancer cases. The disease gets its name because tumors associated with it test negative for estrogen receptors, progesterone receptors and excess HER2 protein, making it difficult to target. Due to this, TNBC is often treated with general chemotherapy, which can come with negative side effects and drug resistance, according to UH.

UH College of Pharmacy research associate professor Wei Wang is developing a drug that can target the disease more specifically. The drug will target MDM2, a protein often overproduced in TNBC that also contributes to faster tumor growth.

Wang is working on a team led by Wei Li, director of the University of Tennessee Health Science Center College of Pharmacy’s Drug Discovery Center. She has received $1.7 million to support the research.

Wang and UH professor of pharmacology and toxicology Ruiwen Zhang have discovered a compound that can break down MDM2. In early laboratory models, the compound has shown the ability to shrink tumors.

Wang and Zhang will focus on understanding how the treatment works and monitoring its effectiveness in models that closely mirror human disease.

“We will study how the drug targets MDM2 and evaluate the most promising drug candidates to determine effective dosing, understand how the drug behaves in the body, compare it with existing treatments and assess early safety,” Wang said in a news release.

Li’s team at the University of Tennessee will be working on the chemistry and drug design end of the project.

“This work could lead to an entirely new class of therapies for triple-negative breast cancer,” Li added in the release. “We’re hopeful that by directly removing the MDM2 protein from cancer cells, we can help more patients respond to treatment regardless of their tumor type.”