The project will focus on testing 5G networks for "stability, interoperability, energy efficiency and communication performance." Photo via Getty Images

A team of Rice University engineers has secured a $1.9 million grant from the U.S. Department of Commerce’s National Telecommunications and Information Administration to develop a new way to test 5G networks.

The project will focus on testing 5G networks for software-centric architectures, according to a statement from Rice. The funds come from the NTIA's most recent round of grants, totaling about $80 million, as part of the $1.5 billion Public Wireless Supply Chain Innovation Fund. Other awards went to Virginia Tech, Northeastern University, DISH Wireless, and more.

The project at Rice will be led by Rahman Doost-Mohammady, an assistant research professor of electrical and computer engineering; and Ashutosh Sabharwal, the Ernest Dell Butcher Professor of Engineering and chair of the Department of Electrical and Computer Engineering. Santiago Segarra, assistant professor of electrical and computer engineering and an expert in machine learning for wireless network design, is also a co-principal investigator on this project.

"Current testing methodologies for wireless products have predominantly focused on the communication dimension, evaluating aspects such as load testing and channel emulation,” said Doost-Mohammady said in a statement. “But with the escalating trend toward software-based wireless products, it’s imperative that we take a more holistic approach to testing."

The new framework will be used to "assess the stability, interoperability, energy efficiency and communication performance of software-based machine learning-enabled 5G radio access networks (RANs)," according to Rice, known as ETHOS.

Once created, the team of researchers will use the framework for extensive testing using novel machine learning algorithms for 5G RAN with California-based NVIDIA's Aerial Research Cloud (ARC) platform. The team also plans to partner with other industry contacts in the future, according to Rice.

“The broader impacts of this project are far-reaching, with the potential to revolutionize software-based and machine learning-enabled wireless product testing by making it more comprehensive and responsive to the complexities of real-world network environments,” Sabharwal said in the statement. “By providing the industry with advanced tools to evaluate and ensure the stability, energy efficiency and throughput of their products, our research is poised to contribute to the successful deployment of 5G and beyond wireless networks.”

Late last year, the Houston location of Greentown Labs also landed funds from the Department of Commerce. The climatetech startup incubator was named to of the Economic Development Administration's 10th cohort of its Build to Scale program and will receive $400,000 with a $400,000 local match confirmed.

Houston-based nonprofit accelerator, BioWell, also received funding from the Build to Scale program.


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This article originally ran on InnovationMap.

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University of Houston collaborates with county on future-facing sustainability efforts

dream team

Researchers at the University of Houston are partnering with the Harris County Office of County Administration’s Sustainability Office, the Harris County Energy Management Team, and other county staff in an effort to develop a comprehensive baseline of energy use and energy-use intensity that will aim to reduce energy costs and emissions in county facilities.

Once fully established, the team will work on tracking progress and evaluating the effectiveness of energy-saving measures over time. They will begin to build the foundation for future programs aimed at maximizing savings, reducing energy consumption, and increasing the use of renewable energy sources in county operations.

Harris County energy managers, Glen Rhoden and Yas Ahmadi, will work with UH professionals, including:

  • Jian Shi, UH Cullen College of Engineering associate professor of engineering technology and electrical and computer engineering
  • Zhu Han, Moores professor of electrical and computer engineering
  • Xidan "Delia" Zhang, UH research intern

The group began collaborating a year ago, and analyzed energy consumption data from county facilities.They were able to successfully identify key summertime energy-saving opportunities and completed retro-commissioning of four county buildings. Those efforts saved over $230,000 annually in electricity costs.

“This project is a prime example of how impactful research at UH can be when applied to real-world challenges, delivering tangible benefits to both the environment and the communities we serve,” Shi says in a news release.

The team will plan to do additional building projects, which includes the development of solar energy and heat pump initiatives, building automation system upgrades, and LED lighting installations. The goal is to reduce electricity usage by at least 5 percent per year for county facilities by 2030 and cut greenhouse gas emissions by 50 percent over the next 5 years for county buildings.

“Addressing climate change and the energy transition requires a collaborative effort that is not only data-driven and action-oriented but also human-centric,” Shi adds. “It’s about more than just technology—it’s about improving the quality of life for Texans.”

Houston-based autonomous trucking tech co. raises $20M

fresh funding

A Houston-based autonomous vehicle technology company has raised early funding.

Bot Auto has announced the completion of its pre-series A funding round which was oversubscribed and raised $20 million. The round was led by investments from Brightway Future Capital, Cherubic Ventures, EnvisionX Capital, First Star Ventures, Linear Capital, M31 Capital, Taihill Venture, Uphonest Capital, and Welight Capital.

“As true believers in autonomous trucking, we're thankful for our investors' shared vision,” Xiaodi Hou, founder and CEO of Bot Auto, says in a news release. “Our strong commitment, combined with recent AI advancements and a sharpened focus on operational efficiency, has created a clear path to commercialization.”

The funds raised will be focused on developing the technology and will opt to avoid unnecessary hiring ahead of operational maturity, scaling the operational footprint prior to product readiness, over expansion and partnership debt. The company aims for a more sustainable and efficient future, and is hoping its engineers and AV executives help Bot Auto become an autonomous trucking game changer.

The Investment is expected to help expand Bot Auto's tech development in autonomous trucking that will focus on safety and operation efficiency.

“Our prospects for success have never been more promising,” Hou adds. “ We march forward, committed to bringing this transformative technology to humanity for a brighter future.”

Bot Auto’s vision aligns with the pioneering spirit of Houston’s legacy in space exploration, striving to achieve remarkable feats in technology and transportation. The company is dedicated to leveraging this investment to make significant strides in the US autonomous trucking industry, ultimately contributing to a more sustainable and efficient future.

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This article originally ran on InnovationMap.

Texas-based Tesla posts first quarterly increase in deliveries, but shares slump

mixed feelings

Low interest financing, sweet lease deals, price cuts and free charging boosted Tesla’s global deliveries in the third quarter, the first increase this year for the electric vehicle maker.

The Austin, Texas, company said Wednesday that it delivered 462,890 vehicles from July through September, bolstered by loans as low as 1.99%, and $299 monthly leases on the Model 3, its least expensive vehicle. It delivered 435,059 vehicles during the same period last year.

The figures for July through September came in slightly higher than analyst estimates of 462,000 for the period, according to data provider FactSet.

However, shares of Tesla Inc. dropped sharply in morning trading, down nearly 4%.

The deliveries were “good and a step in the right direction,” wrote Dan Ives of Wedbush, but that there would be pressure on the company's stock because investors had been hoping for even better.

“Overall, this is a clear improvement from the first half and we believe getting in the range of 1.8 million for the year is still the key and important bogey,” Ives said.

Tesla has struggled much of the year to sell its aging model lineup as growth in electric vehicle sales in the U.S. and Europe slowed due to concerns with range, price and the ability to charge on trips.

Falling sales early in the year led to once-unheard of discounts for the automaker, cutting into its industry leading profit margins. Analysts estimated that Tesla’s average vehicle sales price was $42,500 for the third quarter, the lowest price in four years.

The sales decline likely will pull down third quarter earnings when they are announced on Oct. 23.

Tesla’s sales decline comes as competition is increasing from legacy and startup automakers, which are trying to nibble away at the company’s market share.

Nearly all of Tesla’s sales came from the smaller and less-expensive Models 3 and Y, with the company selling only 22,915 of its more expensive models that include X and S, as well as the new Cybertruck.

Wedbush analyst Dan Ives wrote in a note to investors Tuesday that third-quarter sales would bring a rebound as China sales continue to increase and price and demand stabilizes.” As China continues to heat up on the demand story for Tesla with favorable leasing/financing terms and pent-up demand in the region, we are confident that we will see a significant growth figure in the region,” he wrote.

Europe will continue to be slow with macroeconomic pressures, and U.S. demand should stabilize, Ives wrote.

But BNP Paribas Exane said in an investor note that long term expectations of the market are somewhat high for Tesla. The company said its sales estimates for 2026 and 2027 “remain 10% to 15% below the street, respectively.”

Tesla is scheduled to unveil a purpose built robotaxi at an event next week.