Waymo plans to launch its robotaxi service in Munich by the end of 2027, marking the Google-owned company's first expansion into the European Union. "It already operates in 11 cities in the United States and has applied for a license in the United Kingdom to launch its robotaxis in London this year," notes Reuters. From the report: The Google subsidiary will start rolling out vehicles in the German city this year, which will be manually driven while the company "starts with high-definition mapping of local street networks" and testing with safety drivers, Waymo said in a statement. "Bavaria is determined to live up to its pioneering role and be an international leader in autonomous driving," Florian Herrmann, the head of the Bavarian state chancellery, said in the statement. "Now we need to move quickly from testing to real-world deployment." [...] German authorities gave autonomous vehicles the green light in 2021 to operate in the country in approved geographical areas. Other countries are looking at following suit, though the EU's broader autonomous driving rules are set by the U.N.

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RAMageddon could soon push car prices higher as modern vehicles rely on ever more RAM and powerful centralized computers to run everything from infotainment to driver-assistance systems. Analysts cited by The Atlantic estimate the shortage could add a few percentage points to vehicle prices, which might not sound like much, but could potentially translate to around $2,000 on a $50,000 vehicle. The broader shift toward software-heavy vehicles could also make used cars even less affordable. An anonymous reader quotes an excerpt from the report: Just like laptops, cars depend on microprocessors and RAM, or random-access memory, to run all of their computations. "There's just a baseline level of tech, and thus a baseline level of cost, required of every vehicle," Karl Brauer, the executive analyst at iSeeCars, an automotive-research platform, told me. Technology is a major reason the average price of a new car in the U.S. has reached some $50,000, and that was before RAM became one of the most prized commodities in the world. AI companies are snatching up as much memory as possible for their data centers, causing a RAM shortage that has significantly raised the prices of phones, laptops, and just about any consumer-electronic device. Cars are next. [...] Over the next year, the memory shortage -- sometimes known as RAMageddon -- will likely raise vehicle prices by a few percentage points, on average, [said Sam Abuelsamid, an analyst at Telemetry and a former automotive engineer]. The relative amount would be smaller than the shocking double-digit jumps for gaming consoles and MacBooks but in some ways more significant: A 4 percent price hike for cars amounts to some $2,000 on average. Cars with those centralized computers will be affected the most, but no vehicle will be spared. "Even if you don't need the high-end chips, you're going to pay more even for the low-end chips just because of the supply constraint," Abuelsamid said. On a recent earnings call, Ford's chief financial officer said that the company had paid $1 billion in higher materials costs due to the memory shortage and inflation. GM and Volkswagen, too, have noted rising chip costs to investors. (Ford and GM did not respond to a request for comment. A spokesperson for Volkswagen told me that the company has "recognized an increased demand for memory chips, primarily driven by growing requirements in other industries," and that in recent years, Volkswagen has taken measures to "mitigate supply risks.") RAMageddon is poised to last for several years, but the consequences for car buyers may be permanent. Consider what happened during the pandemic, when supply-chain disruptions and rising demand for electronics produced a major chip shortage. Nearly every major car company had to slash production because they simply couldn't procure enough chips, and shifted their focus to selling higher-end and higher-profit vehicles. Potential customers already willing to spend six figures on a car are much less likely to care about a 5 or 10 percent price hike, [said Ivan Drury, the director of insights at Edmunds]. Even now, car companies are continuing to focus on selling more profitable models. Since the pandemic, the average price of a new vehicle has jumped $11,000. The AI-fueled chip crisis could play out more severely. The average price of a new car could, before long, jump to $60,000 and beyond. These rising costs are making cars even more similar to computers and all of the software they run: Perhaps in an effort to mitigate higher prices, some automakers are also introducing in-car advertisements and putting certain features, such as heated seats, behind a paywall. As cars have morphed into computers, the inevitable next step is for automakers to behave like modern tech companies.

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Amazon says its Prime Air drone delivery service will expand sixfold to nearly 500 U.S. cities and towns by the end of 2026, including metro areas around Chicago, Syracuse, Cleveland, Atlanta, and Boise. According to Amazon Prime Air vice president David Carbon, the service has already delivered "hundreds of thousands of packages to customers" this year, typically within about an hour. The Verge reports: These will join 11 locations across the US where Amazon already offers drone deliveries, with each Prime Air site serving an area of approximately 175 square miles. The service aims to quickly deliver packages of up to 5 pounds or less [...]. Amazon reiterated its drone safety features alongside these expansion plans, including Prime Air's "industry-leading Detect-and-Avoid system." That's likely an attempt to minimize any concerns raised by the communities where the service is expanding, given these drones have already been scrutinized for crashing into cranes, internet cables, gardens, and an apartment building.

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Longtime Slashdot reader AmiMoJo shares a report from Electrek: Waymo co-CEO Dmitri Dolgov laid out the clearest technical case yet for why cameras alone can't take a self-driving system to full autonomy, arguing that "weak sensing" hits a safety ceiling long before it reaches superhuman performance. [...] Dolgov made the comments in a talk at Y Combinator's Startup School, walking through the lessons Waymo has learned building its driver over close to two decades. He put the sensor question on the table plainly: "there's been a long-standing debate about what kind of sensors do you actually need for autonomous driving." His answer draws the line that camera-only advocates tend to skip right past. "Humans of course can drive with just eyes, so there's that proof of existence," he said. "If the goal were to just approximately match human performance or to build an assist product, that's a very reasonable way to go." Then the catch. If you're targeting full autonomy and strongly superhuman performance, he said, "you find that weak sensing just leads to a safety curve that flattens out way too early." Dolgov said that cameras, lidar, and radar are complementary rather than redundant: "These different sensing modalities, they're not backups to each other," and combining them produces a view "vastly superior to what you get with any one sensor." He said multiple sensor types also protect against physical failures, such as a leaf or branch blocking a camera, while helping Waymo climb the "exponential ladder of nines" required for fully driverless safety. Dolgov warned that camera-only systems may improve quickly before plateauing "way before the performance that is required by your product." He also pushed back on the cost argument against lidar, calling it "a number that has a fairly short shelf life" as hardware costs continue to fall.

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To design invisible drones, researchers have tried camouflage, transparent materials and light-bending optical systems. But engineers at Northwestern University used "motion blur," which an announcement from the school notes is the effect that makes fast-spinning fans seem to disappear. "The drone spins up to 25 times per second, which is too fast for the human eye to see clearly. While it isn't completely invisible, it morphs into a ghostly smudge that seamlessly blends into the background... " To design the drone, the Northwestern team first used a computational model to generate roughly 20,000 drone configurations capable of stable flight. Then, they used artificial intelligence (AI) and optimization algorithms to repeatedly rearrange the drones' major components, including a motor, propeller, circuit board, counterweight and batteries. After sifting through many different configurations, the algorithms determined the ideal placement of the drone's components to minimize its visibility from virtually every viewing angle while allowing for stable flight. After selecting promising candidates, the engineers simulated each drone spinning in flight and overlaid those images a hundred real-world backgrounds. Then, they used a perception model that approximates human vision to determine how noticeable each design appeared. Designs that blended into their surroundings received lower visibility scores. The team selected the 500 lowest-scoring designs and applied the optimization algorithm, which repeatedly adjusted the positions of components to further minimize those scores. "The design process was fully automated," [said Northwestern's associate CS professor Michael Rubenstein, who led the work]. "Then, when we were confident that a drone met all our criteria, we built it." They've named the drone "Phantom Twist"," and plan to design future iterations with more transparent materials or quieter propulsion to make it even less noticeable. The Northwestern team presented the work on July 16 at Robotics: Science and Systems 2026 in Sydney, Australia... Thanks to long-time Slashdot reader fahrbot-bot for sharing the news.

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Electric vehicles have historically been "notorious" for losing their resale value, reports CNBC. But this year prices for used EVs in the U.S. "are up 5.1% from January to June 2026, according to a Recurrent analysis published this month." The trend continued into the second half of the year: Prices are up 7% year to date through mid-July, it said. Recurrent compared EVs according to the same make and model year across 108 combinations and weighted price growth according to inventory volume. "Used EVs are appreciating, which almost never happens," according to an e-mailed Recurrent statement about the analysis. Other auto analysts found a similar trend... Price growth for used EVs has been broad-based, said Stephanie Valdez Streaty, the director of industry insights at Cox Automotive, a market research firm. Twenty-one of the 25 used EV models with the highest sales volume increased in price between January and June this year, she said... [T]he price growth for used EVs this year has been all the more surprising because it has happened despite a high supply of used EVs hitting the market — which, all else being equal, would generally cause prices to fall, experts said... There are several factors juicing consumer demand for used EVs, experts said. Among them are high gasoline prices due to the Iran war, which have pushed more consumers to consider fuel-efficient options, experts said... Overall affordability is another big factor, against a backdrop of inflation that has remained above policymakers' target of 2% for five or so years, auto experts said. The dynamic has pushed more consumers toward the used car market more broadly. Two interesting statistics from the article: "Used EV sales were up 20% in June versus a year earlier, while sales of new EVs were down about 28%, according to Cox Automotive data." New EVs accounted for 5.4% of total new-vehicle sales in June, while the market share for used EVs was just 2.4%, according to Cox Automotive data.

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