A team of students from Rice University won Accenture’s 2023 Innovation Challenge with extended reality project. Photo via accenture.com

A team of students from Rice University may see their award-winning idea incorporated into programming from the nonprofit Smithsonian Institution — the world’s largest museum, education, and research complex.

Rice’s Team Night Owls, made up of four undergraduates, recently won Accenture’s 2023 Innovation Challenge. The team’s winning concept: a three-month, six-town mobile bus exhibit designed to expose the Smithsonian to residents of rural areas in the U.S. One of the highlights of the exhibit would be an augmented reality/virtual reality feature.

The Rice team competed against more than 1,100 applicants. Participants were asked to “envision ways to deliver the spirit and wonder of in-person visits” at the Smithsonian to rural communities nationwide.

“Our biggest takeaway from the challenge was learning how to generate innovative ideas and then combine the best aspects from each one to include into one coherent solution,” says one of the team members, Sean Bishop.

Accenture is providing pro bono support to the Smithsonian to help turn the Rice team’s “Rural Routes” concept into reality. Ideally, the Smithsonian hopes to incorporate the team’s idea into its 2026 celebration of the country’s 250th birthday.

Officials say they liked the Rice team’s proposal because it would be a way for the organization to familiarize rural America with the Smithsonian while also collecting and displaying the stories of rural residents.

“We hope to amplify the voices of rural Americans and raise the visibility of their cultural stories,” the Smithsonian says in a statement provided to InnovationMap.

Nico Motta, a rising junior studying business and data science at Rice, says his team’s idea was born out of a desire to bring the Smithsonian to people and bring people to the Smithsonian.

“From there, two different ideas emerged that we eventually brought together. First, we connected the idea of campaign buses that allow political candidates to travel to smaller communities,” Motta tells InnovationMap. “Second, we researched existing Smithsonian initiatives and were intrigued by the Crossroads program, a stationary exhibit shipped out to community centers.”

The team then brainstormed ways to marry the two ideas. The result: the Rural Routes project.

Aside from Motta and Bishop, members of the Rice team are Eva Moughan, a rising junior studying math and operations research at Rice, and Austin Tran, a rising junior studying business and statistics.

Bishop, a rising senior studying chemical and biomolecular engineering at Rice, says the Rural Routes entry stood out partly because the team:

  • Dug into how to finance the exhibit.
  • Supplied examples of similar projects that have achieved success.
  • Folded augmented reality/virtual reality into the project.

Organizers believe the Rice team’s winning entry embodies the competition’s goal this year to generate “bold ideas and innovative thinking” about introducing more Americans to the Smithsonian.

“The Accenture Innovation Challenge invites students seeking to do well and do good to collaborate on solving real and real-time business challenges for leading nonprofits. The students’ innovative ideas make the nonprofit better able to achieve its mission, and together we work to implement the winning solution,” says Marty Rodgers, senior managing director of Accenture’s U.S. south region and executive sponsor of the Accenture Innovation Challenge.

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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.”