Chinese officials told Tesla that Beijing has tentatively approved the automaker's plan to launch its “Full Self-Driving,” or FSD, software feature in the country. Photo via tesla.com

Authorities in Washington have determined that a Tesla that hit and killed a motorcyclist near Seattle in April was operating on the company's “Full Self Driving” system at the time of the crash.

Investigators from the Washington State Patrol made the discovery after downloading information from the event-data recorder on the 2022 Tesla Model S, agency spokesman Capt. Deion Glover said Tuesday.

“The investigation is still ongoing in this case,” Glover said in an email to The Associated Press. The Snohomish County Prosecutor will determine if any charges are filed in the case, he said.

Tesla CEO Elon Musk said last week that “Full Self Driving” should be able to run without human supervision by the end of this year. He has been promising a fleet of robotaxis for several years. During the company’s earnings conference call, he acknowledged that his predictions on the issue “have been overly optimistic in the past.”

A message was left Tuesday seeking comment from Texas-based Tesla.

After the crash in a suburban area about 15 miles (24 kilometers) northeast of Seattle, the driver told a trooper that he was using Tesla's Autopilot system and looked at his cellphone while the Tesla was moving.

“The next thing he knew there was a bang and the vehicle lurched forward as it accelerated and collided with the motorcycle in front of him,” the trooper wrote in a probable-cause document.

The 56-year-old driver was arrested for investigation of vehicular homicide “based on the admitted inattention to driving, while on Autopilot mode, and the distraction of the cell phone while moving forward, putting trust in the machine to drive for him,” the affidavit said.

The motorcyclist, Jeffrey Nissen, 28, of Stanwood, Washington, was under the car and pronounced dead at the scene, authorities reported.

Nissen's death is at least the second in the U.S. involving Tesla's “Full Self-Driving” system. In investigative documents, the U.S. National Highway Traffic Safety Administration said earlier it had found one fatality and 75 crashes while the system was being used. It wasn't clear whether the system was at fault in the fatality.

Tesla has two partially automated driving systems, “Full Self-Driving,” which can take on many driving tasks even on city streets, and Autopilot, which can keep a car in its lane and away from objects in front of it. Sometimes the names are confused by Tesla owners and the public.

Tesla says at present neither system can drive itself and that human drivers must be ready to take control at any time.

“Full Self-Driving” is being tested on public roads by selected Tesla owners. The company recently has been calling it FSD Supervised.

Musk said last week that he did not think approval by government regulators would be a limiting factor in deploying robotaxis. “If you’ve got billions of miles that show that in the future, unsupervised FSD is safer than humans, what regulator could really stand in the way of that?” he asked.

But Phil Koopman, a professor at Carnegie Mellon University who studies autonomous vehicle safety, said he doesn't see Tesla running robotaxis without human drivers on nearly all roads for another decade.

The safety record Musk cites is based on having a human driver supervise the automated system, he said. “Unless you have data showing that the driver never has to supervise the automation, then there's no basis for claiming they're going to be acceptably safe,” he said.

Musk has said Tesla will unveil a dedicated robotaxi vehicle at an event on Oct. 10. The event was delayed from Aug. 8 to make changes in the vehicle that Musk wanted.

Musk has been telling investors that Tesla is less of a car company and more of a robotics and artificial intelligence company. Many investors have put money into the company based on long-term prospects for robotics technology.

Musk has been touting self-driving vehicles as a growth catalyst for Tesla since “Full Self Driving” hardware went on sale late in 2015.

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Houston cleantech company closes $12M seed round

fresh funding

Houston-based Helix Earth Technologies has closed a $12 million Seed 2 funding round to scale manufacturing of its energy-efficient commercial HVAC add-on technology.

Veriten, a Houston-based energy investment firm, led the round. Rua Ventures, Carnrite Ventures, Skywriter LLC and Textbook Ventures also participated.

Helix Earth—which was founded based on NASA technology, spun out of Rice University and has been incubated at Greentown Labs—is developing high-efficiency retrofit dehumidification systems that aim to reduce the energy consumption of commercial HVAC units. The company reports that its technology can lead to "healthier indoor air, lower energy bills, reduced building maintenance, and more comfortable spaces for building owners and occupants."

"Building owners are dealing with rising energy costs, uncontrolled humidity, and aging infrastructure with no viable, cost-effective path forward. We are in the field today solving these problems for commercial customers, and this capital puts us on an aggressive path to scale,” Rawand Rasheed, Helix Earth co-founder and CEO, said in a news release.

“The strength of this round reinforces our team's conviction that we can transform innovation-starved sectors with transformational solutions that deliver order-of-magnitude improvements to owners and operators, for both their bottom line and the environment,” Rasheed added.

Maynard Holt, Veriten’s founder and CEO, said that the investment firm is tripling its investment in Helix Earth.

"The team has built breakthrough technology with real applicability across multiple industries,” Holt said in the release. “Their first product will have an immediate and measurable impact on our energy system, and they are already pursuing adjacent innovations to help heavy industries operate more efficiently and with less waste. This is a well-rounded team with a proven track record of strong execution and disciplined capital management.”

Helix Earth also closed a $5.6 million seed funding round in 2024, led by Veriten.

Last year, the company secured a $1.2 million Small Business Innovation Research (SBIR) Phase II grant and won in the Smart Cities, Transportation & Sustainability contest at the 2025 SXSW Pitch Showcase. Rasheed was also named to the Forbes 30 Under 30 Energy and Green Tech list for 2025.

SLB and NVIDIA expand partnership to scale AI across energy sector

AI partnership

Houston-based energy technology company SLB has expanded its 18-year tech collaboration with chipmaker NVIDIA to include the development of an “AI factory for energy.”

Through their partnership, SLB and NVIDIA will create AI infrastructure and models built around SLB’s existing digital platforms to help energy companies scale AI for data and operations.

In addition to the development of the “AI factory,” SLB will:

  • Provide modular design services to enhance NVIDIA’s blueprint for building, launching and operating gigawatt-scale AI data centers. In this case, modular design involves manufacturing data center components off-site.
  • Use NVIDIA’s AI infrastructure to improve the processing of large datasets and AI models across SLB’s digital platforms.

Energy companies generate vast amounts of operational data, which can slow down and silo decision-making, SLB says. By combining NVIDIA’s Omniverse libraries and its Nemotron open models with SLB’s digital and AI platforms, the companies aim to more rapidly transform data into actionable insights.

Omniverse libraries are sets of prebuilt 3D elements, such as objects, surfaces and interactive features, that make it easier to construct detailed virtual spaces without having to design everything manually. They’re commonly used for building immersive environments, digital replicas of real-world systems and simulation scenarios.

Nemotron open models are AI models that are freely available to download and modify. Instead of relying on a hosted service, you can run them on your own infrastructure and tailor them to fit specific needs.

Vladimir Troy, vice president of AI infrastructure at NVIDIA, says the energy sector is at the forefront of AI driving a “new industrial revolution.”

“The winners in AI will be companies with the best data, the deepest domain expertise, and the ability to scale,” Demos Pafitis, SLB’s chief technology officer, added. “By collaborating with NVIDIA to advance modular data center construction and harness our domain expertise and digital platforms, we’re enabling the energy industry to deploy AI at scale and transform operational data into smarter decisions.”