Houston is now home to Kodiak and Ryder's autonomous "truckport" facility. Photo courtesy of Kodiak

In a major step toward driverless freight trucks hitting Houston-area roads, a facility for loading and unloading autonomous trucks opened recently near George Bush Intercontinental/Houston Airport

Miami-based transportation and logistics company Ryder operates the “truckport” for Mountain View, California-based Kodiak Robotics, which runs a network of autonomous freight trucks. The facility, located at 888 E. Airtex Dr., opened in December. It’s next to a Ryder maintenance center.

“The truckport can currently receive several truckloads per day, and the size of the Ryder facility provides the opportunity to scale much larger than that,” says Daniel Goff, director of external affairs at Kodiak.

“The number of employees stationed at the facility fluctuates day by day,” Goff adds. “Kodiak’s team that staffs the facility in this initial phase operates on a flexible schedule to align with the needs of the trucks that are utilizing the truckport.”

The Houston site is the first Kodiak truckport to be located at a Ryder facility. It serves freight routes to and from Houston, Dallas, and Oklahoma City.

Kodiak currently operates all routes with drivers on board, including its Houston-Dallas and Houston-Oklahoma City routes. The company plans to roll out its first driverless operations on Dallas-Houston route later this year, with the new Houston facility serving as a launchpad.

“Ryder’s industry-leading fleet services and vast footprint of service locations makes it an ideal partner as we scale autonomous trucks,” Don Burnette, founder and CEO of Kodiak, says in a news release. “Expanding our network of truckports with Ryder will enable us to operate autonomous trucks at scale with our customers.”

The most recent version of Kodiak’s truck debuted in Las Vegas at the recent 2024 Consumer Electronics Show (CES). Kodiak says the truck is equipped with safety-oriented software and hardware (including braking, steering and sensors).

Kodiak’s sixth-generation truck builds on the company’s track record of real-world testing, which includes carrying 5,000 loads over more than 2.5 million miles.

Founded in 2018, Kodiak has been delivering freight in Texas since mid-2019, including on the Houston-Dallas route. Kodiak announced in 2022 that it had teamed up with Swedish retailer IKEA to pilot autonomous freight deliveries in Texas between the IKEA warehouse in Baytown and the IKEA store in Frisco.

Kodiak Robotics unveiled its driverless semi-truck technology this month, which is expected to hit Texas roads later this year. Photo via Kodiak

Driverless semi-truck tech to launch between Houston and Dallas later this year

coming soon

Kodiak Robotics is scaling up its driverless semi truck, which will initially carry cargo on a Houston-to-Dallas route that’s set to formally launch this year.

The most recent version of Kodiak’s truck debuted in Las Vegas at the recent 2024 Consumer Electronics Show (CES). Mountain View, California-based Kodiak Robotics says the truck is equipped with safety-critical software and hardware (including braking, steering and sensors).

Kodiak’s sixth-generation truck builds on the company’s five years of real-world testing, which includes carrying 5,000 loads over more than 2.5 million miles.

“We’re the first and only company to have developed a feature-complete driverless semitruck with the level of automotive-grade safety redundancy necessary to deploy on public roads,” Don Burnette, founder and CEO of Kodiak, says in a news release.

“Over the course of 2.5 million miles, we’ve successfully demonstrated that our self-driving trucks can withstand the harsh environment of long-haul trucking from both a platform integrity and a software perspective,” he adds. “This truck fundamentally demonstrates that we’ve done the work necessary to safely handle driverless operations.”

Among the highlights of the sixth-generation truck are:

  • A pneumatic braking system controlled by Kodiak’s proprietary software.
  • A redundant steering system.
  • A proprietary safety computer.
  • A redundant power system.
  • Proprietary SensorPods for housing sensors.
  • Microphones designed to detect the presence of the sirens of emergency vehicles and other suspicious sounds.
  • An advanced communication system.

Founded in 2018, Kodiak has been delivering freight in Texas since mid-2019, including a Houston-to-Dallas route. Kodiak announced in 2022 that it had teamed up with Swedish retailer IKEA to pilot autonomous freight deliveries in Texas between the IKEA warehouse in Baytown and the IKEA store in Frisco.

The company wants to make Texas "the home of self-driving trucks." PRNewsfoto/Kodiak Robotics

Self-driving semi trucks are now hauling cargo in and out of Houston

Autopilot

The Interstate 45 freight corridor between Houston and Dallas now serves as a testing ground for self-driving cargo trucks.

Silicon Valley startup Kodiak Robotics Inc. recently began sending its autonomous 18-wheel trucks on trips between Texas' two largest metro areas, co-founder and CEO Don Burnette says. The trucks are carrying paid cargo, but Kodiak won't identify the customer or customers. The company also won't say how many trips the trucks are making each day.

The Texas initiative represents Kodiak's first foray into commercial deliveries. Wired.com notes that pretty much every player in the autonomous truck sector has conducted tests in Texas or is carrying commercial loads in the Lone Star State, which boasts more than 2,300 miles of interstate highways.

For its part, Kodiak aims to make Texas "the home of self-driving trucks."

According to a 2016 report from the Texas Department of Transportation, nearly half of all truck freight in Texas goes through the I-45 corridor's 11 counties. In some spots, trucks make up more than one-fourth of the traffic in the corridor, which runs 276 miles from Galveston to where I-45 intersects with Interstate 20 in Dallas County, the TxDOT report says.

"The importance of the I‐45 freight corridor to the movement of goods extends beyond Texas because much of the freight originating or passing through the corridor is destined to other domestic and international markets," the report says.

For now, Burnette says, two people are aboard each Kodiak truck traveling between Houston and Dallas — a safety driver and a safety engineer.

"Dallas will be our home base for testing and operations for the foreseeable future," Burnette says. "Kodiak plans to continue refining and testing its trucks until the last truck-involved accident happens on public roads."

Kodiak's Dallas office, which opened in March, employs eight people. The company plans to relocate soon to new office space in the Dallas suburb of Lancaster, Burnette says.

At this time, Kodiak doesn't plan to hire any workers in Houston, he says.

From its base in the Dallas area, Kodiak envisions expanding its service to routes throughout Texas, but it's focusing solely on the Houston-to-Dallas route for the time being, Burnette says.

Kodiak picked Texas for its truck tests, in part, because of the "warm welcome" extended by Gov. Greg Abbott, TxDOT, the Texas Department of Public Safety, the Texas A&M Transportation Institute, and other segments of the public sector, he says.

In addition, Burnette says, Kodiak chose Texas "because of its great people, freight-rich economy, reasonable regulatory structure, and robust infrastructure."

In 2017, Texas enacted laws enabling driverless vehicles, including long-haul trucks, to operate on the state's roads.

"Texas is a leader in the testing and implementation of connected and automated vehicles, and Kodiak's willingness to partner with academia and public agencies to ensure safe deployment of new technology will add significant value to our transportation system," Christopher Poe, assistant director of the Texas A&M Transportation Institute, says in a release.

Burnette, co-founder of Otto Trucking LLC, a self-driving truck startup purchased in 2016 by Uber Technologies Inc., and fellow entrepreneur Paz Eshel established Kodiak in 2018 to "redefine" long-haul trucking through self-driving technology.

Kodiak says its autonomous technology is designed to ease pressures facing the trucking industry, including a shortage of drivers and high turnover among drivers, while improving highway safety, fostering business efficiency, reducing traffic congestion, and cutting down on harmful emissions.

"Long-haul trucking is primed for autonomous technology," Kodiak says in a post on Medium. "Highway driving is more structured and predictable than urban driving. This means there are fewer decisions for drivers to make and [it's] a better fit for autonomous vehicles."

"As hard as it is to navigate city streets, autonomous vehicles are much closer to being able to drive on more structured interstate highways, which have no jaywalking pedestrians, no aggressive cyclists, and no runaway pets," Kodiak adds. "That's why we've focused on building technology specifically for long-haul trucks driving on highway routes, often referred to as the 'middle mile.'"

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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

jobs report

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.”