Rice University President David Leebron was joined by dignitaries for the Oct. 30 opening ceremony of the Rice University National Security Research Accelerator laboratories in Dell Butcher Hall. Photo via Rice.edu

A collaboration between Rice University and the United States Army has taken entered into a new phase with the opening of the Rice University National Security Research Accelerator laboratories in Dell Butcher Hall.

RUNSRA, which launched in 2019 with support from Army Futures Command and the Army Research Laboratory, premiered its new home on the Rice campus at a hybrid event. Most attendees tuned in via webcast while university president, David Leebron, and Provost Reggie DesRoches hosted U.S. Army Futures Command Lt. Gen. Thomas Todd III and U.S. Rep. Dan Crenshaw, R-Texas.

"The accelerator is the first-of-its-kind, collaborative research facility designed to deploy and develop new technologies for economic and national security," DesRoches says at the event. "The facility includes space for visiting Army Research Lab and (Department of Defense) scientists. We see this as a new model for truly collaborative research that brings together research teams from across the country and across agencies to work on mission-critical technologies."

"We are the only university in the world with a deployed software-defined network already in place," DesRoches continues. "The materials we will discover here with our ARL partners will be rapidly prototyped into devices and deployed."

Walter Jones, executive director of RUNSRA, is a the former executive director of the Office of Naval Research and former director of plans and programs at the Air Force Research Laboratory and joined Rice in June. The goal of the lab and the program is to research technologies to advance the Army's modernization.

"The accelerating pace of technology will continue to change our world," says Todd. "It will require us to re-examine how we compete and, if required, how we win on the future battlefield. And it will require us to develop new technologies that let us compete and win by expanding what is possible, which starts at a place like Rice University.

"I know that tremendous benefit will come from this research accelerator," Todd continues. "And truly, it's meant to be what it says, an accelerator of technologies into the hands of soldiers."

Watch below to view the press conference and ribnbon cutting.

The Rice University National Security Research Acceleratorwww.youtube.com

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Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”