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

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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$5B Austin medical center, anchored by MD Anderson, to break ground this fall

moving forward

Construction on the $1 billion first phase of the AI-native University of Texas Dell Medical Center in Austin—which will feature a hospital operated by Houston’s UT MD Anderson Cancer Center—is set to start this fall.

The UT System Board of Regents approved funding for first-phase construction on Aug. 12.

The medical center—now expected to cost $5 billion, up from the initial $2.9 billion estimate—will span about 2.5 million square feet. It will include 300 to 500 patient beds, outpatient facilities, an emergency department and specialized care for cancer patients.

MD Anderson will bring its world-renowned oncology programs to the center’s integrated health care model, Dr. Claudia Lucchinetti, senior vice president of medical affairs at UT Austin and dean of the university’s Dell Medical School, tells Health Leaders.

Earlier this year, Austin tech billionaire Michael Dell and his wife, Susan, pledged $750 million for development of the medical center. The medical center, scheduled for completion in December 2030, will be a cornerstone of the new 300-acre UT Dell Campus for Advanced Research, a medical education and research hub.

“Through this new campus and medical center, Texas will lead America in health care innovation,” Gov. Greg Abbott said when the research campus was announced in April. “The next generation of medical breakthroughs will take place in Central Texas.”

The medical center will fold AI tools and other technology into the infrastructure, rather than having them added after it’s built. Among other capabilities, the technology will monitor real-time medical data, automate data entry, and help health care professionals quickly predict and identify risks to patients, according to Health Leaders.

“We are not just building a new medical center,” Lucchinetti says. “We are building a fundamentally new model of health. It’s not just a new facility. It’s not just a new collaboration. It is a convergence of capabilities that rarely come together at the same time.”

Rice lands $15M U.S. Army award to launch next-gen wireless research center

defense funding

The U.S. Army Research Office has awarded Rice University $15 million to establish a new center for next-generation sensing and communications.

The five-year research center—dubbed the Center for Large Aperture Secure Sensing, Imaging and Communications (CLASSIC)—will unite researchers from universities and national laboratories to develop advanced antenna technologies for future wireless systems. Edward Knightly, the Sheafor-Lindsay Professor of Electrical and Computer Engineering at Rice, will lead the center that “combines expertise in wireless networking, antennas, radar, artificial intelligence, circuits and physics to address growing demands on wireless systems,” according to Rice.

“The challenges we’re tackling require advances that span physics, hardware, communications and computing," Knightly said in a news release. “By combining those strengths in a single center, we can accelerate the development and demonstration of technologies that would not be possible through individual efforts alone.”

Joining Knightly will be Ashutosh Sabharwal of Rice, Sensen Li of the University of Texas at Austin, Hou-Tong Chen of Los Alamos National Laboratory, Danijela Cabric of UCLA, Josep M. Jornet and Tommaso Melodia of Northeastern University, Daniel M. Mittleman of Brown University, and Willie Padilla of Duke University.

Industry partners include Booz Allen Hamilton, Intel, Keysight, Lockheed Martin, MITRE, Northrop Grumman, Qualcomm and Raytheon.

CLASSIC researchers will investigate how large-scale antenna arrays (ELSAAs) can expand the capabilities of wireless systems where technology is limited.

ELSAAs use thousands of coordinated antenna elements to direct radio waves. Researchers aim to develop ways to use the technology to help maintain steady communication when signals are blocked or disrupted and to detect and generate detailed images of concealed objects.

Along with ELSAAs, the center will work to develop sensing techniques for threat detection, study wireless jamming and build resilient high-speed wireless networks. Researchers will ultimately validate the technology in labs and via drone-based field trials.

CLASSIC will also work on developing an AI-driven modeling framework that will simulate complex electromagnetic environments in real time.

“This award demonstrates Rice’s leadership in tackling complex national research challenges through collaboration across disciplines and institutions,” David Sholl, executive vice president for research at Rice, added in the release.