Long-time Slashdot reader schwit1 shared this report from Australia's public broadcaster ABC: Ecovacs robot vacuums, which have been found to suffer from critical cybersecurity flaws, are collecting photos, videos and voice recordings — taken inside customers' houses — to train the company's AI models.

The Chinese home robotics company, which sells a range of popular Deebot models in Australia, said its users are "willingly participating" in a product improvement program.

When users opt into this program through the Ecovacs smartphone app, they are not told what data will be collected, only that it will "help us strengthen the improvement of product functions and attached quality". Users are instructed to click "above" to read the specifics, however there is no link available on that page.

Ecovacs's privacy policy — available elsewhere in the app — allows for blanket collection of user data for research purposes, including:

- The 2D or 3D map of the user's house generated by the device
- Voice recordings from the device's microphone
— Photos or videos recorded by the device's camera

"It also states that voice recordings, videos and photos that are deleted via the app may continue to be held and used by Ecovacs..."

An anonymous reader quotes a report from 404 Media: After a horseback riding accident left him paralyzed from the waist down in 2009, former jockey Michael Straight learned to walk again with the help of a $100,000 ReWalk Personal exoskeleton. Earlier this month, that exoskeleton broke because of a malfunctioning piece of wiring in an accompanying watch that makes the exoskeleton work. The manufacturer refused to fix it, saying the machine was now too old to be serviced, and Straight once again couldn't walk anymore. "After 371,091 steps my exoskeleton is being retired after 10 years of unbelievable physical therapy," Straight posted on Facebook on September 16. "The reasons [sic] why it has stopped is a pathetic excuse for a bad company to try and make more money. The reason it stopped is because of a battery in the watch I wear to operate the machine. I called thinking it was no big deal, yet I was told they stopped working on any machine that was 5 years or older. I find it very hard to believe after paying nearly $100,000 for the machine and training that a $20 battery for the watch is the reason I can't walk anymore?"

Straight's experience is a nightmare scenario that highlights what happens when companies decide to stop supporting their products and do not actively support independent repair. It's also what happens without the protection of right to repair legislation that requires manufacturers to make repair parts, guides, and tools available to the general public. Specifically, a connection wire became desoldered from the battery in a watch that connects to the exoskeleton: "It's not the actual battery, but it's the little green connection piece we need to be the right fit and that's been our problem," Straight posted on Facebook. Straight's personal exoskeleton was broken for two months, he said in a video on Facebook. He was eventually able to get the device fixed after attention from an article in the Paulick Report, a website about the horse industry, and a spot on local TV. "It took me two months, and I got no results," he said in the video. With social media and news attention, "it only took you all four days, and look at the results," he said earlier this week while standing in the exoskeleton. "This is the dystopian nightmare that we've kind of entered in, where the manufacturer perspective on products is that their responsibility completely ends when it hands it over to a customer. That's not good enough for a device like this, but it's also the same thing we see up and down with every single product," Nathan Proctor, head of citizen rights group US PIRG's right to repair project told 404 Media. "People need to be able to fix things, there needs to be a plan in place. A $100,000 product you can only use as long as the battery lasts, that's enraging. We should not have to tolerate a society where this happens."

"We have all this technology we release into the wild and it changes people's lives, but there's no long-term thinking. Manufacturers currently have no legal obligation to support the equipment indefinitely and there's no requirements that they publish sufficient documentation to allow others to do it," Proctor said. "We need to set minimum standards for documentation so that, even if a company goes bankrupt or falls off the face of the earth, a technician with sufficient knowledge can fix it."

An anonymous reader quotes a report from Ars Technica: Among the first AI companies that the Federal Trade Commission has exposed as deceiving consumers is DoNotPay -- which initially was advertised as "the world's first robot lawyer" with the ability to "sue anyone with the click of a button." On Wednesday, the FTC announced that it took action to stop DoNotPay from making bogus claims after learning that the AI startup conducted no testing "to determine whether its AI chatbot's output was equal to the level of a human lawyer." DoNotPay also did not "hire or retain any attorneys" to help verify AI outputs or validate DoNotPay's legal claims.

DoNotPay accepted no liability. But to settle the charges that DoNotPay violated the FTC Act, the AI startup agreed to pay $193,000, if the FTC's consent agreement is confirmed following a 30-day public comment period. Additionally, DoNotPay agreed to warn "consumers who subscribed to the service between 2021 and 2023" about the "limitations of law-related features on the service," the FTC said. Moving forward, DoNotPay would also be prohibited under the settlement from making baseless claims that any of its features can be substituted for any professional service. "The complaint relates to the usage of a few hundred customers some years ago (out of millions of people), with services that have long been discontinued," DoNotPay's spokesperson said. The company "is pleased to have worked constructively with the FTC to settle this case and fully resolve these issues, without admitting liability."

An anonymous reader quotes a report from CNN: Some McDonald's franchisees -- which own and operate 95% of McDonald's in the United States -- are now rolling out kiosks that can take cash and accept change. But even in these locations, McDonald's is reassigning cashiers to other roles, including new "guest experience lead" jobs that help customers use the kiosks and assist with any issues. "In theory, kiosks should help save on labor, but in reality, restaurants have added complexity due to mobile ordering and delivery, and the labor saved from kiosks is often reallocated for these efforts," said RJ Hottovy, an analyst who covers the restaurant and retail industries at data analytics firm Placer.ai. Kiosks "have created a restaurant within a restaurant." And in some cases, kiosks have even been a flop. Bowling ally chain Bowlero added kiosks in lanes for customers to order food and drinks, but they went unused because staff and customers weren't fully trained on using them. "The unintended consequences have surprised a lot of people," Hottovy said.

Even some of the benefits of kiosks touted by chains -- they upsell customers by suggesting menu items and speed up orders -- don't always play out. A recent study from Temple University researchers found that, when a line forms behind customers using kiosks, they experience more stress when placing their orders and purchase less food. And some customers take longer to order tapping around on kiosks and paying than they do telling a cashier they'd like to order a burger and fries. Not to mention the kiosks can malfunction or break down. "If kiosks really improved speed of service, order accuracy, and upsell, they'd be rolled out more extensively across the industry than they are today," Hottovy said.

Kiosks have also been threatened as a fast-food industry response to higher minimum wage laws. [...] But the quick-service and fast-casual segments of the restaurant industry continue to grow. Staffing levels were nearly 150,000 jobs, or 3%, above pre-pandemic levels, according to the latest Labor Department data. Christopher Andrews, a sociologist at Drew University who studies the effects of technology on work, said the impacts of kiosks were similar to other self-service technology such as ATMs and self-checkout machines in supermarkets. Both technologies were predicted to cause job losses. "The introduction of ATMs did not result in massive technological unemployment for bank tellers," he said. "Instead, it freed them up from low-value tasks such as depositing and cashing checks to perform other tasks that created value." Self-checkout have also not resulted in retail job losses, the report adds. "In some cases, self-checkout backfired for chains because self-checkout leads to higher merchandise losses from customer errors and more intentional shoplifting than when human cashiers are ringing up customers."

"Many GitHub users this week received a novel phishing email warning of critical security holes in their code," reports Krebs on Security — citing an email shared by one of his readers: "Hey there! We have detected a security vulnerability in your repository. Please contact us at https://github-scanner[.]com to get more information on how to fix this issue...." Clicking the "I'm not a robot" button generates a pop-up message asking the user to take three sequential steps to prove their humanity. Step 1 involves simultaneously pressing the keyboard key with the Windows icon and the letter "R," which opens a Windows "Run" prompt that will execute any specified program that is already installed on the system.

Step 2 asks the user to press the "CTRL" key and the letter "V" at the same time, which pastes malicious code from the site's virtual clipboard. Step 3 — pressing the "Enter" key — causes Windows to launch a PowerShell command, and then fetch and execute a malicious file from github-scanner[.]com called "l6e.exe...." According to an analysis at the malware scanning service Virustotal.com, the malicious file downloaded by the pasted text is called Lumma Stealer, and it's designed to snarf any credentials stored on the victim's PC.
Even though this might fool some users, Krebs points out that Microsoft "strongly advises against nixing PowerShell because some core system processes and tasks may not function properly without it. What's more, doing so requires tinkering with sensitive settings in the Windows registry..."

Thanks to long-time Slashdot reader sinij for sharing the article.

Instead of eliminating jobs, self-service kiosks at McDonald's and other fast-food chains "have added extra work for kitchen staff," reports CNN — and as a bonus, "pushed customers to order more food than they do at the cash register..." Kiosks "guarantee that the upsell opportunities" like a milkshake or fries are suggested to customers when they order, Shake Shack CEO Robert Lynch said on an earnings call last month. "Sometimes that is not always a priority for employees when you've got 40 people in line. You're trying to get through it as quick as possible." Kiosks also shift employees from behind the cash register to maintaining the dining area, delivering food to customers or working in the kitchen, he said. [Although a study from Temple University researchers found long lines at a kiosk stress customers — making them order less.]

Some McDonald's franchisees — which own and operate 95% of McDonald's in the United States — are now rolling out kiosks that can take cash and accept change. But even in these locations, McDonald's is reassigning cashiers to other roles, including new "guest experience lead" jobs that help customers use the kiosks and assist with any issues. "In theory, kiosks should help save on labor, but in reality, restaurants have added complexity due to mobile ordering and delivery, and the labor saved from kiosks is often reallocated for these efforts," said RJ Hottovy, an analyst who covers the restaurant and retail industries at data analytics firm Placer.ai....

Christopher Andrews, a sociologist at Drew University who studies the effects of technology on work, said the impacts of kiosks were similar to other self-service technology such as ATMs and self-checkout machines in supermarkets. Both technologies were predicted to cause job losses. "The introduction of ATMs did not result in massive technological unemployment for bank tellers," he said. "Instead, it freed them up from low-value tasks such as depositing and cashing checks to perform other tasks that created value." Self-checkout also has not caused retail job losses. In some cases, self-checkout backfired for chains because self-checkout leads to higher merchandise losses from customer errors and more intentional shoplifting than when human cashiers are ringing up customers.

Fast-food chains and retailers need to do a better job communicating what the potential benefits of kiosks and self-checkout are to consumers and employees, Andrews said. "What I think will be central for customers is that they see how this technology is providing them with more or better service rather than more unpaid busywork," he said. "Otherwise, the public is just likely to view it as yet another attempt to reduce labor costs via automation and self-service."
This article ends up taking both sides of the issue. For example, some befuddled kiosk users can take longer to order, the article points out — and of course, kiosks can also break down.

Restaurant analyst Hottovy told CNN "If kiosks really improved speed of service, order accuracy, and upsell, they'd be rolled out more extensively across the industry than they are today."

Wired published some thoughts from Hans Peter Brondmo, the former head of "Google's seven-year mission to give AI a robot body".

An anonymous reader shared this report from Axios: Building AI-powered robots that can flexibly operate in the real world is going to take much longer than Silicon Valley believes and promises, according to the former head of Google's robotics moonshot project, writing in Wired...

Everyday Robotics spent seven years and a small Google fortune developing a one-armed robot on a wheeled platform. By the time Google pulled the plug on the project in February 2023, the robots were helping clean up researchers' desks and sorting trash during the daytime; in the evening, they were improvising dances. [Google hired a professional dancer as an artist-in-residence who teamed with "a few other engineers" to build an AI algorithm trained on the dancer's choreography preferences...]

Google founder Larry Page — favored moving directly to "end to end" (e2e) learning, where you'd hand robots a general task and they'd be able to figure out how to execute it. That, Page felt, was a goal worthy of a moonshot. But it also turned out to be out of reach. "I have come to believe," Brondmo writes, "it will take many, many thousands, maybe even millions of robots doing stuff in the real world to collect enough data to train e2e models that make the robots do anything other than fairly narrow, well-defined tasks...." ["Building robots that perform useful services — like cleaning up and wiping all the tables in a restaurant, or making the beds in a hotel — will require both AI and traditional programming for a long time to come. In other words, don't expect robots to go running off outside our control, doing something they weren't programmed to do, anytime soon."]

The bottom line: So far, robot hype is outpacing robot reality. Boston Dynamics' back-flipping humanoid and quadruped bots have wowed YouTube viewers — but you wouldn't want to let them anywhere near your office or home.
It's an interesting look back. "My job: help figure out what to do with the employees and technology left over from nine robot companies that Google had acquired," Brondmo writes: Andy "the father of Android" Rubin, who had previously been in charge, had suddenly left. Larry Page and Sergey Brin kept trying to offer guidance and direction during occasional flybys in their "spare time...." I knew from firsthand experience how hard it was to build a company that, in Steve Jobs' famous words, could put a dent in the universe, and I believed that Google was the right place to make certain big bets. AI-powered robots, the ones that will live and work alongside us one day, was one such audacious bet.

Eight and a half years later — and 18 months after Google decided to discontinue its largest bet in robotics and AI — it seems as if a new robotics startup pops up every week. I am more convinced than ever that the robots need to come. Yet I have concerns that Silicon Valley, with its focus on "minimum viable products" and VCs' general aversion to investing in hardware, will be patient enough to win the global race to give AI a robot body. And much of the money that is being invested is focusing on the wrong things...

When I arrived, the lab had already hatched Waymo, Google Glass, and other science-fiction-sounding projects like flying energy windmills and stratospheric balloons that would provide internet access to the underserved... [But] in January 2023, two months after OpenAI introduced ChatGPT, Google shut down Everyday Robots, citing overall cost concerns. The robots and a small number of people eventually landed at Google DeepMind to conduct research. In spite of the high cost and the long timeline, everyone involved was shocked.
They'd tackled the problem with earnestness. ("[S]even robots working for months to learn how to pick up a rubber duckling? That wasn't going to cut it... So we built a cloud-based simulator and, in 2021, created more than 240 million robot instances in the sim.ma")

Brondmo adds this his mother had advanced Parkinson's disease, and hoped that one day robots could support her. "Our frequent conversations toward the end of her life convinced me more than ever that a future version of what we started at Everyday Robots will be coming. In fact, it can't come soon enough.

"So the question we are left to ponder becomes: How does this kind of change and future happen? I remain curious, and concerned."

An anonymous reader quotes a report from Gizmodo: Within the next several months, Nevada plans to launch a generative AI system powered by Google that will analyze transcripts of unemployment appeals hearings and issue recommendations to human referees about whether or not claimants should receive benefits. The system will be the first of its kind in the country and represents a significant experiment by state officials and Google in allowing generative AI to influence a high-stakes government decision -- one that could put thousands of dollars in unemployed Nevadans' pockets or take it away. Nevada officials say the Google system will speed up the appeals process -- cutting the time it takes referees to write a determination from several hours to just five minutes, in some cases -- helping the state work through a stubborn backlog of cases that have been pending since the height of the COVID-19 pandemic.

The tool will generate recommendations based on hearing transcripts and evidentiary documents, supplying its own analysis of whether a person's unemployment claim should be approved, denied, or modified. At least one human referee will then review each recommendation, said Christopher Sewell, director of the Nevada Department of Employment, Training, and Rehabilitation (DETR). If the referee agrees with the recommendation, they will sign and issue the decision. If they don't agree, the referee will revise the document and DETR will investigate the discrepancy. "There's no AI [written decisions] that are going out without having human interaction and that human review," Sewell said. "We can get decisions out quicker so that it actually helps the claimant."

Judicial scholars, a former U.S. Department of Labor official, and lawyers who represent Nevadans in appeal hearings told Gizmodo they worry the emphasis on speed could undermine any human guardrails Nevada puts in place. "The time savings they're looking for only happens if the review is very cursory," said Morgan Shah, director of community engagement for Nevada Legal Services. "If someone is reviewing something thoroughly and properly, they're really not saving that much time. At what point are you creating an environment where people are sort of being encouraged to take a shortcut?" Michele Evermore, a former deputy director for unemployment modernization policy at the Department of Labor, shared similar concerns. "If a robot's just handed you a recommendation and you just have to check a box and there's pressure to clear out a backlog, that's a little bit concerning," she said. In response to those fears about automation bias Google spokesperson Ashley Simms said "we work with our customers to identify and address any potential bias, and help them comply with federal and state requirements." "There's a level of risk we have to be willing to accept with humans and with AI," added Amy Perez, who oversaw unemployment modernization efforts in Colorado and at the U.S. Department of Labor. "We should only be putting these tools out into production if we've established it's as good as or better than a human."

A robot entered a damaged reactor at Japan's Fukushima nuclear power plant on Tuesday, beginning a two-week mission to retrieve melted fuel debris for the first time since the 2011 disaster. The operation marks a crucial step in the decades-long process to decommission the plant and address the highly radioactive material inside three damaged reactors.

The robot, maneuvered remotely due to lethal radiation levels, will collect less than 3 grams of debris using tongs. This sample will provide vital data on the status of the reactor cores and inform future cleanup strategies. An estimated 880 tons of molten fuel remains in the three reactors, posing potential safety risks as the structures age. AP adds: Removal of the melted fuel was initially planned to start in late 2021 but has been delayed by technical issues, underscoring the difficulty of the process. The government says decommissioning is expected to take 30-40 years, while some experts say it could take as long as 100 years.

Others are pushing for an entombment of the plant, as at Chernobyl after its 1986 explosion, to reduce radiation levels and risks for plant workers. That won't work at the seaside Fukushima plant, says Lake Barrett, who led the cleanup after the 1979 disaster at the U.S. "You're in a high seismic area, you're in a high-water area, and there are a lot of unknowns in those (reactor) buildings,â he said. "I don't think you can just entomb it and wait."

"China is on track to launch its Tianwen-3 mission to Mars in 2028, two years earlier than previously planned," writes the South China Morning Post, a change that one space policy research believes "suggests a rising confidence by China in its ability to get the technology right for the complex operation." On Thursday, Liu Jizhong, chief designer of China's Mars mission, told the Second International Conference on Deep Space Exploration in Huangshan, Anhui province, that the team aimed to bring back around 600 grams (21 oz) of Martian soil... A 2028 launch date should see Martian samples returned to Earth around July 2031, according to a previous presentation made by Tianwen-1 mission lead Sun Zezhou at Nanjing University in 2022.
The mission will actually consist of two launches from Earth, reports Space News: Two Long March 5 rocket launches will carry a lander and ascent vehicle and an orbiter and return module respectively. Entry, descent and landing will build on technology used for the Tianwen-1 rover landing. The mission may also include a helicopter and a six-legged crawling robot for collecting samples away from the landing site...

NASA is working on its own, more complex Mars sample return mission. However the program is being reassessed, following projected cost overruns. Studies are being conducted to identify concepts that can deliver samples faster and cheaper than current plans.

Liu stated that the search for evidence of life is the Tianwen-3's top scientific goal, according to state media China Central Television (CCTV). Earlier reporting notes that potential landing areas will be selected based partly on astrobiological relevance. This includes environments potentially suitable for the emergence of life and its preservation, such as sedimentary or hydrothermal systems, evidence of past aqueous activity and geological diversity.
"China states that it plans to work with scientists worldwide to cooperatively study and share Martian samples and data," according to the article: The China National Space Administration has made samples from its Chang'e-5 lunar nearside sample return mission available to research applications for international researchers. The same is expected for the recently-completed Chang'e-6 lunar farside mission."

Further ahead, Tianwen-3 will include partnering with countries and research institutions to define the objectives and tasks of a future Mars research station. This will include analyzing requirements, conducting conceptual studies, design implementation plans, and tackling key technological challenges.
Thanks to Slashdot reader Iamthecheese for sharing the news.

An anonymous reader quotes a report from ScienceAlert: Nobody knows what sleeping mushrooms dream of when their vast mycelial networks flicker and pulse with electrochemical responses akin to those of our own brain cells. But given a chance, what might this web of impulses do if granted a moment of freedom? An interdisciplinary team of researchers from Cornell University in the US and the University of Florence in Italy took steps to find out, putting a culture of the edible mushroom species Pleurotus eryngii (also known as the king oyster mushroom) in control of a pair of vehicles, which can twitch and roll across a flat surface. Through a series of experiments, the researchers showed it was possible to use the mushroom's electrophysiological activity as a means of translating environmental cues into directives, which could, in turn, be used to drive a mechanical device's movements. "By growing mycelium into the electronics of a robot, we were able to allow the biohybrid machine to sense and respond to the environment," says senior researcher Rob Shepherd, a materials scientist at Cornell.

By applying algorithms based on the extracellular electrophysiology of P. eryngii mycelia and feeding the output into a microcontroller unit, the researchers used spikes of activity triggered by a stimulus -- in this case, UV light -- to toggle mechanical responses in two different kinds of mobile device. In controlled experiments, the team used the signals from a fungal culture to govern the movements of a five-limbed soft robot and a four-wheeled untethered vehicle. They were able to influence and override the 'natural' impulses produced by the fungi, demonstrating an ability to harness the system's sensory abilities to meet an end goal. "This kind of project is not just about controlling a robot," says Cornell bioroboticist Anand Mishra. "It is also about creating a true connection with the living system. Because once you hear the signal, you also understand what's going on. Maybe that signal is coming from some kind of stresses. So you're seeing the physical response, because those signals we can't visualize, but the robot is making a visualization." The research has been published in the journal Science Robotics.

Microsoft is launching three new Xbox Series S / X console options in October. From a report: There's the $449.99 white discless Xbox Series X, a 2TB "Galaxy Black" special-edition Xbox Series X priced at $599.99, and a $349.99 1TB Xbox Series S. All three models will be available in the US on October 15th, with other markets to follow on October 29th.

The white coating on the exterior of this new discless Xbox Series X matches the "robot white" found on the Xbox Series S, Microsoft's smaller $299 console. While leaks of the white Xbox Series X hinted that Microsoft may upgrade the heatsink used to cool the console, the company hasn't detailed any hardware changes beyond the removal of the disc drive here.

Apple is building "a pricey tabletop home device" which uses "a thin robotic arm to move around a large screen," using actuators "to tilt the display up and down and make it spin 360 degree," according to Bloomberg's Mark Gurman. Citing "people with knowledge of the matter," Gurman writes that Apple assigned "several hundred people" to the project: The device is envisioned as a smart home command center, videoconferencing machine and remote-controlled home security tool, said the people... The project — codenamed J595 — was approved by Apple's executive team in 2022 but has started to formally ramp up in recent months, they said... Apple has now decided to prioritize the device's development and is aiming for a debut as early as 2026 or 2027, according to the people.

The company is looking to get the price down to around $1,000. But with years to go before an expected release, the plans could theoretically change... The idea is for the tabletop product to be primarily controlled using the Siri digital assistant and upcoming features in Apple Intelligence. The device could respond to commands, such as "look at me," by repositioning the screen to focus on the person saying the words — say, during a video call. It also could understand different voices and adjust its focus accordingly. Current models in testing run a customized version of the iPad operating system...

The company also is working on robots that move around the home and has discussed the idea of a humanoid version. Those projects are being led, in part, by Hanns Wolfram Tappeiner, a robotics expert who now has about 100 former car team engineers reporting to him. In a job listing published this month, Apple said it has a team "working to leverage and build upon groundbreaking machine learning robotics research, thereby enabling development of generalizable and reliable robot systems." The company said it's seeking experts with experience in "robot manipulation" and creating AI models for robot control.
The article calls points out that Apple "still gets roughly half its revenue from the iPhone," and calls the robotics effort "one of a few avenues Apple is pursuing to generate new sources of revenue" — and to "capitalize" on its AI technology. (Apple is also working on both smart eyeglasses and augmented reality galsses.)

"Battling choppy waves and high winds, three engineers pulled ashore a yellow submarine in Scotland this week," reports the BBC. "With sheets of water pouring from its body, the UK's most famous robot — Boaty McBoatface — was winched up after 55 days at sea." Boaty has completed a more-than-2,000km scientific odyssey from Iceland [the longest journey yet for its class of submarine, and major test of its engineering]... "Boaty has absolutely passed. It's a massive relief," says Rob Templeton [from Southampton's National Oceanography Centre]... It is exciting technology but the science that Boaty was doing could be part of a game-changer in how scientists understand climate change...

Cruising at 1.1metres per second and diving thousands of metres, Boaty had more than 20 sensors monitoring biological and chemical conditions like nutrients, oxygen levels, photosynthesis and temperature... "We are measuring what's been happening in the upper ocean with the phytoplankton, the plants that grow there. We are looking at the little zooplankton, the animals that eat them. And we've been measuring the fecal pellets, the poo that the animals produce," explained Dr Stephanie Henson [chief scientist on the research project "BioCarbon" run by the National Oceanography Centre, the University of Southampton and Heriot-Watt University in Edinburgh.] "Our climate would be significantly warmer if the carbon pump wasn't there," Stephanie said. Without it, atmospheric carbon dioxide levels would be about 50% higher, she says. But current climate modelling does not get the carbon pump right, she says. "We want to know how strong it is, what changes its strength. Does it change from season to season, and year to year?" she says...

There are tentative signs from the research that the carbon pump might be slowing down, the scientists explain. The team recorded much smaller "blooms" of the tiny plants and animals that feed on them than they expected in spring. "If that trend were to continue in future years it would mean the biological (carbon) pump could be weakening which could result in more carbon dioxide being left in the atmosphere," Stephanie said.
It's really nice to see photos of the yellow submarine coming ashore after 55 days underwater, "on its way home to Southampton."

But according to the article, Dr Adrian Martin (running the BioCarbon project) "explains the research aims to better understand how the oceans are storing carbon because of a controversial field of study called geoengineering." Some scientists and entrepreneurs believe we can artificially change the ocean, for example by altering its chemistry, in the hope it would absorb more carbon. But these are still very experimental and have lots of critics. Opponents worry geoengineering will do unexpected harm or not address climate change quickly enough. "If you're going to make interventions that could be global disturbances of the ocean ecosystem, you need to understand the consequences. Without that, you are not informed to make that decision," he says.

According to Agrarheute, hackers launched a cyberattack on a Swiss farmer's computer system, disrupting the flow of vital data from a milking robot. Tragically, this led to the death of a cow and her calf. From the report (translated from German into English): According to the CSO, hackers attacked the computers of a farmer from Hagendorn. The dairy farmer's milking robot was also connected to these computers. When the animal owner stopped receiving milking data, he initially suspected a dead zone. But then he learned from the manufacturer of his milking system that he had been hacked. Apparently it was a ransomware attack. The hackers demanded $10,000 to decrypt the data. The farmer considered whether he should give in to the cyber criminals' demands. At first he thought the data on the amount of milk produced was bearable. In addition, the milking robot also worked without a computer or network connection. The cows could therefore continue to be milked.

For one cow , however, the cyberattack ended tragically. The farmer normally receives vital data from his cows via the system. This is particularly important and critical for pregnant animals. One cow's calf died in the womb. Because the computer was paralyzed, Bircher was unable to recognize the emergency in time. They tried everything to at least save the cow, but in the end it had to be put down. Overall, the attack caused monetary damages amounting to the equivalent of over 6,400 euros, mainly due to veterinary costs and the purchase of a new computer. However, the hackers came away empty-handed.

An anonymous reader quotes a report from TechCrunch: In a newly published paper titled "Achieving Human Level Competitive Robot Table Tennis," Google's DeepMind Robotics team is showcasing its own work on the game. The researchers have effectively developed a "solidly amateur human-level player" when pitted against a human component. During testing, the table tennis bot was able to beat all of the beginner-level players it faced. With intermediate players, the robot won 55% of matches. It's not ready to take on pros, however. The robot lost every time it faced an advanced player. All told, the system won 45% of the 29 games it played. "This is the first robot agent capable of playing a sport with humans at human level and represents a milestone in robot learning and control," the paper claims. "However, it is also only a small step towards a long-standing goal in robotics of achieving human level performance on many useful real world skills. A lot of work remains in order to consistently achieve human-level performance on single tasks, and then beyond, in building generalist robots that are capable of performing many useful tasks, skillfully and safely interacting with humans in the real world."

The robot's biggest trouble areas are responding to fast balls, high and low balls. It also has trouble with backhand and the ability to read the spin on an incoming ball. Here's how the researchers plan to address the issue with fast balls: "To address the latency constraints that hinder the robot's reaction time to fast balls, we propose investigating advanced control algorithms and hardware optimizations. These could include exploring predictive models to anticipate ball trajectories or implementing faster communication protocols between the robot's sensors and actuators."

An anonymous reader quotes a report from Ars Technica: Unlike Tesla, which hopes to develop its own bipedal 'bot to work on its production line sometime next year, BMW has brought in a robot from Figure AI. The Figure 02 robot has hands with sixteen degrees of freedom and human-equivalent strength. "We are excited to unveil Figure 02, our second-generation humanoid robot, which recently completed successful testing at the BMW Group Plant Spartanburg. Figure 02 has significant technical advancements, which enable the robot to perform a wide range of complex tasks fully autonomously," said Brett Adcock, founder and CEO of Figure AI.

BMW wanted to test how to integrate a humanoid robot into its production process -- how to have the robot communicate with the production line software and human workers and determine what requirements would be necessary to add robots to the mix. The Figure robot was given the job of inserting sheet metal parts into fixtures as part of the process of making a chassis. BMW says this required particular dexterity and that it's an ergonomically awkward and tiring task for humans.

Now that the trial is over, Figure's robot is no longer working at Spartanburg, and BMW says it has "no definite timetable established" to add humanoid robots to its production lines. "The developments in the field of robotics are very promising. With an early-test operation, we are now determining possible applications for humanoid robots in production. We want to accompany this technology from development to industrialization," said Milan Nedeljkovi, BMW's board member responsible for production. BMW Group published a video of the Figure 02 robot on YouTube.

Silicon Valley's fascination with AI has led to parents enrolling children as young as five in AI-focused summer camps. "It's common for kids on summer break to attend space, science or soccer camp, or even go to coding school," writes Priya Anand via the San Francisco Standard. "But the growing effort to teach kindergarteners who can barely spell their names lessons in 'Advanced AI Robot Design & AR Coding' shows how far the frenzy has extended." From the report: Parents who previously would opt for coding camps are increasingly interested in AI-specific programming, according to Eliza Du, CEO of Integem, which makes holographic augmented reality technology in addition to managing dozens of tech-focused kids camps across the country. "The tech industry understands the value of AI," she said. "Every year it's increasing." Some Bay Area parents are so eager to get their kids in on AI's ground floor that they try to sneak toddlers into advanced courses. "Sometimes they'll bring a 4-year-old, and I'm like, you're not supposed to be here," Du said.

Du said Integem studied Common Core education standards to ensure its programming was suitable for those as young as 5. She tries to make sure parents understand there's only so much kids can learn across a week or two of camp. "Either they set expectations too high or too low," Du said of the parents. As an example, she recounted a confounding comment in a feedback survey from the parent of a 5-year-old. "After one week, the parent said, "My child did not learn much. My cousin is a Google engineer, and he said he's not ready to be an intern at Google yet.' What do I say to that review?" Du said, bemused. "That expectation is not realistic." Even less tech-savvy parents are getting in on the hype. Du tells of a mom who called the company to get her 12-year-old enrolled in "AL" summer camp. "She misread it," Du said, explaining that the parent had confused the "I" in AI with a lowercase "L."

Late Friday Elon Musk appeared on Lex Fridman's podcast for a special eight-hour episode about Neuralink.

It's already been viewed 1,702,036 times on YouTube — and resulted in this report from Reuters: Neuralink has successfully implanted in a second patient its device designed to give paralyzed patients the ability to use digital devices by thinking alone, according to the startup's owner Elon Musk... [Musk] gave few details about the second participant beyond saying the person had a spinal cord injury similar to the first patient, who was paralyzed in a diving accident.

Musk said 400 of the implant's electrodes on the second patient's brain are working. Neuralink on its website states that its implant uses 1,024 electrodes... Musk said he expects Neuralink to provide the implants to eight more patients this year as part of its clinical trials.
Neuralink's device "has allowed the first patient to play video games, browse the internet, post on social media and move a cursor on his laptop," according to the article: The first patient, Noland Arbaugh, was also interviewed on the podcast, along with three Neuralink executives, who gave details about how the implant and the robot-led surgery work. Before Arbaugh received his implant in January, he used a computer by employing a stick in his mouth to tap the screen of a tablet device. Arbaugh said with the implant he now can merely think about what he wants to happen on the computer screen, and the device makes it happen... Arbaugh has improved on his previous world record for the speed at which he can control a cursor with thoughts alone "with only roughly 10, 15% of the electrodes working," Musk said on the podcast.
Fridman said his interview with Musk was "the longest podcast I've ever done," calling their conversation "fascinating, super technical, and wide-ranging... I loved every minute of it."

For the first time, an AI-controlled autonomous robot performed an entire dental procedure on a human patient, completing the task eight times faster than a human dentist could. New Atlas reports: The system, built by Boston company Perceptive, uses a hand-held 3D volumetric scanner, which builds a detailed 3D model of the mouth, including the teeth, gums and even nerves under the tooth surface, using optical coherence tomography, or OCT. This cuts harmful X-Ray radiation out of the process, as OCT uses nothing more than light beams to build its volumetric models, which come out at high resolution, with cavities automatically detected at an accuracy rate around 90%. At this point, the (human) dentist and patient can discuss what needs doing -- but once those decisions are made, the robotic dental surgeon takes over. It plans out the operation, then jolly well goes ahead and does it.

The machine's first specialty: preparing a tooth for a dental crown. Perceptive claims this is generally a two-hour procedure that dentists will normally split into two visits. The robo-dentist knocks it off in closer to 15 minutes. Here's a time-lapse video of the drilling portion, looking very much like a CNC machine at work. Remarkably, the company claims the machine can take care of business safely "even in the most movement-heavy conditions," and that dry run testing on moving humans has all been successful. [...] The robot's not FDA-approved yet, and Perceptive hasn't placed a timeline on rollout, so it may be some years yet before the public gets access to this kind of treatment.