Texas A&M pilots $59M program for autonomous helicopters to fight wildfires

Autonomous firefighting

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.”

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A&M's Research Integration Center, which will house data and act as an innovation hub for innovators and military specialists, is expected to be completed next fall. Photo via tamu.edu

Texas A&M University approves $60.3M for military innovation project

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Texas A&M University is in the process of building a $200 million, multi-building facility just off its main campus in College Station and Bryan, Texas. As of this week, the project has fresh funds from the A&M Board of Regents to continue on with construction.

The board approved a $60.3 million projects at the George H.W. Bush Combat Development Complex, or BCDC, on the RELLIS Campus in Bryan, according to a press release from the university. According to a news release from the university, $22.5 million approved will go toward hypersonic and directed energy testing range called BAM — which stands for Ballistic, Aero-Optics, and Materials. At one kilometer long and two meters in diameter, BAM is expected to the largest enclosed hypersonic testing facility in the nation.

"There will be no other place like it in the world," says John Sharp, chancellor of the Texas A&M System, in the release.

BAM's construction is scheduled to begin in February — with completion by October 2022.

The other $37.8 million of the recent funds approved will go toward for a vehicle test track called the Innovation Proving Ground, or IPG. That's set to break ground in May 2021, and completion is expected a year later.

In addition to the construction at the BCDC, A&M's RELLIS Campus is also working on a few military innovation projects. Construction is currently underway on the Research Integration Center, or RIC, that will house all the data for the BCDC and act as a place to meet and collaborate for innovators and government personnel. The three-story innovation hub broke ground in October 2019 and is expected to be completed in the fall of 2021.

The complex is being supported by an initial $135 million investment from the state of Texas, the Texas A&M Engineering Experiment Station, and the Texas A&M University System. The U.S. Army Futures Command, or AFC) will invest up to $65 million over five years.

The plans come from a collaboration between the AFC, the U.S. Army Combat Capabilities Development Command Army Research Laboratory, other military branches, NASA, and other federal agencies, according to a release.

"Some universities talk about, 'Here's what we are going to do for you,'" says Sharp, in a release. "At Texas A&M, we ask, 'What do you want us to do for you?'"

Texas A&M's RELLIS campus sits about 10 miles down the road from the main campus. Photo via tamu.edu

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

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

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

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

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

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.”

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