The Austin, Texas, company supposedly fixed its self-driving software for more than 2 million vehicles, but the U.S. National Highway Traffic Safety Administration still has concerns. Photo courtesy of Tesla

Federal highway safety investigators want Austin-based Tesla to tell them how and why it developed the fix in a recall of more than 2 million vehicles equipped with the company's Autopilot partially automated driving system.

Investigators with the U.S. National Highway Traffic Safety Administration have concerns about whether the recall remedy worked because Tesla has reported 20 crashes since the remedy was sent out as an online software update in December.

The recall fix also was to address whether Autopilot should be allowed to operate on roads other than limited access highways. The fix for that was increased warnings to the driver on roads with intersections.

But in a letter to Tesla posted on the agency's website Tuesday, investigators wrote that they could not find a difference between warnings to the driver to pay attention before the recall and after the new software was released. The agency said it will evaluate whether driver warnings are adequate, especially when a driver-monitoring camera is covered.

The agency asked for volumes of information about how Tesla developed the fix, and zeroed in on how it used human behavior to test the recall effectiveness.

Phil Koopman, a professor at Carnegie Mellon University who studies automated driving safety, said the letter shows that the recall did little to solve problems with Autopilot and was an attempt to pacify NHTSA, which demanded the recall after more than two years of investigation.

“It’s pretty clear to everyone watching that Tesla tried to do the least possible remedy to see what they could get away with,” Koopman said. “And NHTSA has to respond forcefully or other car companies will start pushing out inadequate remedies.”

Safety advocates have long expressed concern that Autopilot, which can keep a vehicle in its lane and a distance from objects in front of it, was not designed to operate on roads other than limited access highways.

Missy Cummings, a professor of engineering and computing at George Mason University who studies automated vehicles, said NHTSA is responding to criticism from legislators for a perceived lack of action on automated vehicles.

“As clunky as our government is, the feedback loop is working,” Cummings said. “I think the NHTSA leadership is convinced now that this is a problem.”

The 18-page NHTSA letter asks how Tesla used human behavior science in designing Autopilot, and the company's assessment of the importance of evaluating human factors.

It also wants Tesla to identify every job involved in human behavior evaluation and the qualifications of the workers. And it asks Tesla to say whether the positions still exist.

A message was left by The Associated Press early Tuesday seeking comment from Tesla about the letter.

Tesla is in the process of laying off about 10% of its workforce, about 14,000 people, in an effort to cut costs to deal with falling global sales.

Cummings said she suspects that CEO Elon Musk would have laid off anyone with human behavior knowledge, a key skill needed to deploy partially automated systems like Autopilot, which can't drive themselves and require humans to be ready to intervene at all times.

“If you're going to have a technology that depends upon human interaction, you better have someone on your team that knows what they are doing in that space,” she said.

Cummings said her research has shown that once a driving system takes over steering from humans, there is little left for the human brain to do. Many drivers tend to overly rely on the system and check out.

“You can have your head fixed in one position, you can potentially have your eyes on the road, and you can be a million miles away in your head,” she said. “All the driver monitoring technologies in the world are still not going to force you to pay attention.”

In its letter, NHTSA also asks Tesla for information about how the recall remedy addresses driver confusion over whether Autopilot has been turned off if force is put on the steering wheel. Previously, if Autopilot was de-activated, drivers might not notice quickly that they have to take over driving.

The recall added a function that gives a “more pronounced slowdown” to alert drivers when Autopilot has been disengaged. But the recall remedy doesn’t activate the function automatically — drivers have to do it. Investigators asked how many drivers have taken that step.

NHTSA is asking Telsa “What do you mean you have a remedy and it doesn’t actually get turned on?” Koopman said.

The letter, he said, shows NHTSA is looking at whether Tesla did tests to make sure the fixes actually worked. “Looking at the remedy I struggled to believe that there’s a lot of analysis proving that these will improve safety,” Koopman said.

The agency also says Tesla made safety updates after the recall fix was sent out, including an attempt to reduce crashes caused by hydroplaning and to reduce collisions in high speed turn lanes. NHTSA said it will look at why Tesla didn't include the updates in the original recall.

NHTSA could seek further recall remedies, make Tesla limit where Autopilot can work, or even force the company to disable the system until it is fixed, safety experts said.

NHTSA began its Autopilot investigation in 2021, after receiving 11 reports that Teslas using Autopilot struck parked emergency vehicles. In documents explaining why the investigation was ended due to the recall, NHTSA said it ultimately found 467 crashes involving Autopilot resulting in 54 injuries and 14 deaths.

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Rice University spinout lands $500K NSF grant to boost chip sustainability

cooler computing

HEXAspec, a spinout from Rice University's Liu Idea Lab for Innovation and Entrepreneurship, was recently awarded a $500,000 National Science Foundation Partnership for Innovation grant.

The team says it will use the funding to continue enhancing semiconductor chips’ thermal conductivity to boost computing power. According to a release from Rice, HEXAspec has developed breakthrough inorganic fillers that allow graphic processing units (GPUs) to use less water and electricity and generate less heat.

The technology has major implications for the future of computing with AI sustainably.

“With the huge scale of investment in new computing infrastructure, the problem of managing the heat produced by these GPUs and semiconductors has grown exponentially. We’re excited to use this award to further our material to meet the needs of existing and emerging industry partners and unlock a new era of computing,” HEXAspec co-founder Tianshu Zhai said in the release.

HEXAspec was founded by Zhai and Chen-Yang Lin, who both participated in the Rice Innovation Fellows program. A third co-founder, Jing Zhang, also worked as a postdoctoral researcher and a research scientist at Rice, according to HEXAspec's website.

The HEXASpec team won the Liu Idea Lab for Innovation and Entrepreneurship's H. Albert Napier Rice Launch Challenge in 2024. More recently, it also won this year's Energy Venture Day and Pitch Competition during CERAWeek in the TEX-E student track, taking home $25,000.

"The grant from the NSF is a game-changer, accelerating the path to market for this transformative technology," Kyle Judah, executive director of Lilie, added in the release.

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This article originally ran on InnovationMap.

Rice research team's study keeps CO2-to-fuel devices running 50 times longer

new findings

In a new study published in the journal Science, a team of Rice University researchers shared findings on how acid bubbles can improve the stability of electrochemical devices that convert carbon dioxide into useful fuels and chemicals.

The team led by Rice associate professor Hoatian Wang addressed an issue in the performance and stability of CO2 reduction systems. The gas flow channels in the systems often clog due to salt buildup, reducing efficiency and causing the devices to fail prematurely after about 80 hours of operation.

“Salt precipitation blocks CO2 transport and floods the gas diffusion electrode, which leads to performance failure,” Wang said in a news release. “This typically happens within a few hundred hours, which is far from commercial viability.”

By using an acid-humidified CO2 technique, the team was able to extend the operational life of a CO2 reduction system more than 50-fold, demonstrating more than 4,500 hours of stable operation in a scaled-up reactor.

The Rice team made a simple swap with a significant impact. Instead of using water to humidify the CO2 gas input into the reactor, the team bubbled the gas through an acid solution such as hydrochloric, formic or acetic acid. This process made more soluble salt formations that did not crystallize or block the channels.

The process has major implications for an emerging green technology known as electrochemical CO2 reduction, or CO2RR, that transforms climate-warming CO2 into products like carbon monoxide, ethylene, or alcohols. The products can be further refined into fuels or feedstocks.

“Using the traditional method of water-humidified CO2 could lead to salt formation in the cathode gas flow channels,” Shaoyun Hao, postdoctoral research associate in chemical and biomolecular engineering at Rice and co-first author, explained in the news release. “We hypothesized — and confirmed — that acid vapor could dissolve the salt and convert the low solubility KHCO3 into salt with higher solubility, thus shifting the solubility balance just enough to avoid clogging without affecting catalyst performance.”

The Rice team believes the work can lead to more scalable CO2 electrolyzers, which is vital if the technology is to be deployed at industrial scales as part of carbon capture and utilization strategies. Since the approach itself is relatively simple, it could lead to a more cost-effective and efficient solution. It also worked well with multiple catalyst types, including zinc oxide, copper oxide and bismuth oxide, which are allo used to target different CO2RR products.

“Our method addresses a long-standing obstacle with a low-cost, easily implementable solution,” Ahmad Elgazzar, co-first author and graduate student in chemical and biomolecular engineering at Rice, added in the release. “It’s a step toward making carbon utilization technologies more commercially viable and more sustainable.”

A team led by Wang and in collaboration with researchers from the University of Houston also shared findings on salt precipitation buildup and CO2RR in a recent edition of the journal Nature Energy. Read more here.