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 researchers harness dialysis for new wastewater treatment process

waste not

By employing medical field technology dialysis, researchers at Rice University and the Guangdong University of Technology in China uncovered a new way to treat high-salinity organic wastewater.

In the medical field, dialysis uses a machine called a dialyzer to filter waste and excess fluid from the blood. In a study published in Nature Water, Rice’s team found that mimicking dialysis can separate salts from organic substances with minimal dilution of the wastewater, addressing some of the limitations of previous methods.

The researchers say this has the potential to lower costs, recover valuable resources across a range of industrial sectors and reduce environmental impacts.

“Traditional methods often demand a lot of energy and require repeated dilutions,” Yuanmiaoliang “Selina” Chen, a co-first author and postdoctoral associate in Elimelech’s lab at Rice, said in a news release. “Dialysis eliminates many of these pain points, reducing water consumption and operational overheads.”

Various industries generate high-salinity organic wastewater, including petrochemical, pharmaceutical and textile manufacturing. The wastewater’s high salt and organic content can present challenges for existing treatment processes. Biological and advanced oxidation treatments become less effective with higher salinity levels. Thermal methods are considered “energy intensive” and susceptible to corrosion.

Ultimately, the researchers found that dialysis effectively removed salt from water without requiring large amounts of fresh water. This process allows salts to move into the dialysate stream while keeping most organic compounds in the original solution. Because dialysis relies on diffusion instead of pressure, salts and organics cross the membrane at different speeds, making the separation method more efficient.

“Dialysis was astonishingly effective in separating the salts from the organics in our trials,” Menachem Elimelech, a corresponding author on the study and professor of civil and environmental engineering and chemical and biomolecular engineering at Rice, said in a news release. “It’s an exciting discovery with the potential to redefine how we handle some of our most intractable wastewater challenges.”

Virtual power plant from Houston-area company debuts at CES

Powering Up

Brookshire, Texas-based decentralized energy solution company AISPEX Inc. debuted its virtual power plant (VPP) platform, known as EnerVision, earlier this month at CES in Las Vegas.

EnerVision offers energy efficiency, savings and performance for residential, commercial and industrial users by combining state-of-the-art hardware with an AI-powered cloud platform. The VPP technology enables users to sell excess energy back to the grid during demand peaks.

AISPEX, or Advanced Integrated Systems for Power Exchange, has evolved from an EV charging solutions company into an energy systems innovator since it was founded in 2018. It focuses on integrating solar energy and decentralized systems to overcome grid limitations, reduce upgrade costs and accelerate electrification.

Regarding grid issues, the company hopes by leveraging decentralized solar power and Battery Energy Storage Systems (BESS), EnerVision can help bring energy generation closer to consumption, which can ease grid strain and enhance stability. EnerVision plans to do this by addressing “aging infrastructure, grid congestion, increasing electrification and the need for resilience against extreme weather and cyber threats,” according to the company.

One of the company's latest VPP products is SuperHub, which is an all-in-one charging station designed to combine components like solar panels, energy storage systems, fast EV chargers, mobile EV chargers and LCD display screens, into a unified, efficient solution.

“It supports clean energy generation and storage but also ensures seamless charging for electric vehicles while providing opportunities for communication or advertising through its built-in displays,” says Vivian Nie, a representative from AISPEX.

Also at CES, AISPEX displayed its REP Services, which offer flexible pricing, peak load management, and renewable energy options for end-to-end solutions, and its Integrated Systems, which combine solar power, battery storage, EV charging and LCD displays.

“We had the opportunity to meet new partners, reconnect with so many old friends, and dive into discussions about the future of e-mobility and energy solutions,” CEO Paul Nie said on LinkedIn.

In 2024, AISPEX installed its DC Fast chargers at two California Volkswagen locations.