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Tag: Robotics

  • Nvidia and Fujitsu agree to work together on AI robots and other technology

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    U.S. technology company Nvidia and Fujitsu, a Japanese telecommunications and computer maker, have agreed to work together on artificial intelligence to deliver smart robots and a variety of other innovations

    TOKYO — TOKYO (AP) — U.S. technology company Nvidia and Fujitsu, a Japanese telecommunications and computer maker, agreed Friday to work together on artificial intelligence to deliver smart robots and a variety of other innovations using Nvidia’s computer chips.

    “The AI industrial revolution has already begun. Building the infrastructure to power it is essential in Japan and around the world,” Nvidia Chief Executive Jensen Huang said, hugging his Fujitsu counterpart Takahito Tokita on stage.

    “Japan can lead the world in AI and robotics,” Huang told reporters at a Tokyo hotel.

    The companies will work together on building what they called “an AI infrastructure,” or the system on which the various futuristic AI uses will be based, including health care, manufacturing, the environment, next-generation computing and customer services. The hope is to establish that AI infrastructure for Japan by 2030.

    It initially will be tailored for the Japanese market, leveraging Fujitsu’s decades-long experience here, but may later expand globally, and will utilize Nvidia’s GPUs, or graphics processing units, which are essential for AI, according to both sides.

    The two executives did not outline specific projects or give a monetary figure for planned investments. But exploring a collaboration in AI for robots with Yaskawa Electric Corp., a Japanese machinery and robot maker, was noted as a possible example. AI will be constantly evolving and learning, they said.

    Fujitsu and Nvidia have been working together on AI, speeding up manufacturing with digital twins and robotics to tackle aging Japan’s labor shortages.

    Tokita said the companies were taking a “humancentric” approach aimed at keeping Japan competitive.

    “Through our collaboration with Nvidia, we aim to create new, unprecedented technologies and contribute to solving even more serious social issues,” said Tokita.

    ___

    Yuri Kageyama is on Threads: https://www.threads.com/@yurikageyama

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  • Former OpenAI and DeepMind researchers raise whopping $300M seed to automate science  | TechCrunch

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    Periodic Labs came out of stealth on Tuesday with a war chest of $300 million as a seed round, backed by a tech industry’s who’s who: Andreessen Horowitz, DST, Nvidia, Accel, Elad Gil, Jeff Dean, Eric Schmidt, and Jeff Bezos.

    Period Labs was founded by Ekin Dogus Cubuk and Liam Fedus. Cubuk led the materials and chemistry team at Google Brain and DeepMind, where one of his projects was, for instance, an AI tool called GNoME. That tool discovered over 2 million new crystals in 2023, materials that could one day be used to power new generations of technology, researchers say.

    Fedus is a former VP of Research at OpenAI, and one of the researchers who helped create ChatGPT. He also led the team that created the first trillion-parameter neural network.

    Its small team is likewise filled with researchers who have worked on other major AI and materials science projects, from building OpenAI’s agent Operator to working on Microsoft’s MatterGen, an LLM materials science discovery AI.

    The goal of Periodic Labs is nothing less than to automate scientific discovery, creating AI scientists, the company says. This means building labs where robots conduct physical experiments, collect data, iterate, and try again, learning and improving as they go.

    The lab’s first goal is to invent new superconductors that it hopes perform better and possibly require less energy than existing superconducting materials. But the well-funded startup also hopes to find other new materials.

    Another goal is to collect all the physical world data that its AI scientists produce as they mix and heat and otherwise manipulate various powers and raw materials in their search for something new.

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    “Until now, scientific AI advances have come from models trained on the internet” and LLMs have “exhausted” the internet as a source that can be consumed, the company says in an introductory blog post. “At Periodic, we are building AI scientists and the autonomous laboratories for them to operate.”

    The hope is that, not only will the labs invent next-generation materials, but they will produce invaluable fresh data that AI models can consume to continue their evolution.

    While this might be one of the most impressive groups of researchers to assemble a startup for this purpose, it’s not the only one working on AI scientists. AI as a tool to automate chemistry discoveries has been a topic of academic research since at least 2023. It is the pursuit of tiny startups like Tetsuwan Scientific, as well as non profits like Future House and the University of Toronto’s Acceleration Consortium.

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    Julie Bort

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  • This AI-Powered Robot Keeps Going Even if You Attack It With a Chainsaw

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    A four-legged robot that keeps crawling even after all four of its legs have been hacked off with a chainsaw is the stuff of nightmares for most people.

    For Deepak Pathak, cofounder and CEO of the startup Skild AI, the dystopian feat of adaptation is an encouraging sign of a new, more general kind of robotic intelligence.

    “This is something we call an omni-bodied brain,” Pathak tells me. His startup developed the generalist artificial intelligence algorithm to address a key challenge with advancing robotics: “Any robot, any task, one brain. It is absurdly general.”

    Many researchers believe the AI models used to control robots could experience a profound leap forward, similar to the one that produced language models and chatbots, if enough training data can be gathered.

    The AI-controlled robot is able to adapt to new, extreme circumstances, such as the loss of limbs.

    Existing methods for training robotic AI models, such as having algorithms learn to control a particular system through teleoperation or in simulation, do not generate enough data, Pathak says.

    Skild’s approach is to instead have a single algorithm learn to control a large number of different physical robots across a wide range of tasks. Over time, this produces a model which the company calls Skild Brain, with a more general ability to adapt to different physical forms—including ones it has never seen before. The researchers created a smaller version of the model, called LocoFormer, for an academic paper outlining its approach.

    The model is also designed to adapt quickly to a new situation, such as missing leg or treacherous new terrain, figuring out how to apply what it has learned to its new predicament. Pathak compares the approach to the way large language models can take on particularly challenging problems by breaking it down and feeding its deliberations back into its own context window—an approach known as in-context learning.

    Other companies, including the Toyota Research Institute and a rival startup called Physical Intelligence, are also racing to develop more generally capable robot AI models. Skild is unusual, however, in how it is building models that generalize across so many different kinds of hardware.

    LocoFormer is trained with large-scale RL on a variety of procedurally generated robots with aggressive domain randomization.

    Courtesy of Skild

    In one experiment, the Skild team trained their algorithm to control a large number of walking robots of different shapes. When the algorithm was then run on real two- and four-legged robots—systems not included in the training data—it was able to control their movements and have them walk around.

    At one point, the team found that a four-legged robot running the company’s omni-bodied brain will quickly adapt when it is placed on its hind legs. Because it senses the ground beneath its hind legs, the algorithm operates the robot dog as if it were a humanoid, having it stroll around on its hind legs.

    LocoFormer learns continuously through online experience. The policy can learn from falls in early trials to improve control strategies in later ones.

    Courtesy of Skild

    The generalist algorithm could also adapt extreme changes to a robot’s shape—when, for example, its legs were tied together, cut off, or modified to become longer. The team also tried deactivating two of the motors on a quadruped robot with wheels as well as legs. The robot was able to adapt by balancing on two wheels like an unsteady bicycle.

    When facing large disturbances—such as morphological changes, motor failures, or weight changes—LocoFormer can rebuild such representations to achieve online adaptation.

    Courtesy of Skild

    Skild is testing the same approach for robot manipulation. It trained Skild Brain on a range of simulated robot arms and found that the resulting model could control unfamiliar hardware and adapt to sudden changes in its environment like a reduction in lighting. The startup is already working with some companies that use robot arms, Pathak says. In 2024 the company raised $300 million in a round that valued the company at $1.5 billion.

    Pathak says the results might seem creepy to some, but to him they show the sparks of a kind of physical superintelligence for robots. “It is so exciting to me personally, dude,” he says.

    What do you think of Skild’s multitalented robot brain? Send an email to ailab@wired.com to let me know.


    This is an edition of Will Knight’s AI Lab newsletter. Read previous newsletters here.

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    Will Knight

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  • AI-cloning of Lara Croft’s voice has ‘Tomb Raider’ fans and actors up in arms

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    PARIS — A lifelong fan of “Tomb Raider,” French gamer Romain Bos was on tenterhooks when an update of the popular video game went online in August.

    But his excitement quickly turned to anger.

    The gamer’s ears — and those of other “Tomb Raider” fans — picked up something amiss with the French-language voice of Lara Croft, the game’s protagonist.

    It sounded robotic, lifeless even — shorn of the warmth, grace and believability that French voice actor Françoise Cadol has given to Croft since she started playing the character in 1996.

    Gamers and Cadol herself came to the same conclusion: A machine had cloned her voice and replaced her.

    “It’s pathetic,” says Cadol, who straight away called her lawyer. “My voice belongs to me. You have no right to do that.”

    “It was absolutely scandalous,” says Bos. “It was artificial intelligence.”

    Aspyr, the game developer based in Austin, Texas, didn’t respond to e-mailed questions from The Associated Press. But it acknowledged in a post last week on its website that what it described as “unauthorized AI generated content” had been incorporated into its Aug. 14 update of “Tomb Raider IV–VI Remastered” that angered fans.

    “We’ve addressed this issue by removing all AI voiceover content,” Aspyr’s post said. “We apologize for any inconvenience this may have caused.”

    Still, the affair has triggered alarms in the voiceover community, with campaigners saying it’s a sobering example of dangers that AI poses to human workers and their jobs.

    “If we can replace actors, we’ll be able to replace accountants, and a whole range of other professions that could also be automated,” says Patrick Kuban, a French-language voice actor who is also a co-president of United Voice Artists, an international federation of voiceover artists.

    “So we need to ask ourselves the right questions: How far should we go, and how do we regulate these machines?”

    Hollywood has seen similar concerns, with video game performers striking for 11 months for a new contract this year that included AI guardrails.

    “This is happening pretty much everywhere. We’re getting alerts from all over the world — from Brazil to Taiwan,” Kuban said in an Associated Press interview.

    “Actors’ voices are being captured, either to create voice clones — not perfect ones — but for illicit use on social media by individuals, since there are now many apps for making audio deepfakes,” Kuban said.

    “These voices are also being used by content producers who aren’t necessarily in the same country,” he said. “So it’s very difficult for actors to reclaim control over their voices, to block these uses.”

    Cadol says that within minutes of the release of the “Tomb Raider” update, her phone began erupting with messages, emails and social media notifications from upset fans.

    “I took a look and I saw all this emotion — anger, sadness, confusion. And that’s how I found out that my voice had been cloned,” she said in an AP interview.

    Cadol says 12 years of recording French-language voiceovers for Lara Croft — from 1996 to 2008 — built an intimate bond with her fans. She calls them the “guardians” of her work.

    Once the initial shock subsided, she resolved to fight back. Her Paris lawyer, Jonathan Elkaim, is seeking an apology from Aspyr and financial redress.

    In the update, new chunks of voiceover appear to have been added to genuine recordings that Cadol says she made years ago.

    Most notably, fans picked up on one particularly awkward segment. In it, a voice instructs players how to use their game controllers to make Lara Croft climb onto an obstacle, intoning in French: “Place toi devant et appuyez sur avancer” — Stand in front and press ‘advance.’

    Not only does it sound clunky but it also rings as grammatically incorrect to French speakers — mixing up the polite and less polite forms of language that they use, depending on who they’re addressing.

    Gamers were up in arms. Bos posted a video on his YouTube channel that same evening, lamenting: “It’s half Françoise Cadol, half AI. It’s horrible ! Why have they done that?”

    “I was really disgusted,” the 34-year-old said in an AP interview. “I grew up with Françoise Cadol’s voice. I’ve been a ‘Tomb Raider’ fan since I was young kid.”

    “Lara Croft is a bit — how should I say — a bit sarcastic at times in some of her lines. And I think Françoise played that very, very well,” he said.

    “That’s exactly why now is the time to set boundaries,” he added. “It’s so that future generations also have the chance to experience talented actors.”

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  • Robot umpires approved for MLB in 2026 as part of challenge system

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    NEW YORK — Robot umpires are getting called up to the big leagues next season.

    Major League Baseball’s 11-man competition committee on Tuesday approved use of the Automated Ball/Strike System in the major leagues in 2026.

    Human plate umpires will still call balls and strikes, but teams can challenge two calls per game and get additional appeals in extra innings. Challenges must be made by a pitcher, catcher or batter — signaled by tapping their helmet or cap — and a team retains its challenge if successful. Reviews will be shown as digital graphics on outfield videoboards.

    Adding the robot umps is likely to cut down on ejections. MLB said 61.5% of ejections among players, managers and coaches last year were related to balls and strikes, as were 60.3% this season through Sunday. The figures include ejections for derogatory comments, throwing equipment while protesting calls and inappropriate conduct.

    Big league umpires call roughly 94% of pitches correctly, according to UmpScorecards.

    ABS, which utilizes Hawk-Eye cameras, has been tested in the minor leagues since 2019. The independent Atlantic League trialed the system at its 2019 All-Star Game and MLB installed the technology for that’s year Arizona Fall League of top prospects. The ABS was tried at eight of nine ballparks of the Low-A Southeast League in 2021, then moved up to Triple-A in 2022.

    At Triple-A at the start of the 2023 season, half the games used the robots for ball/strike calls and half had a human making decisions subject to appeals by teams to the ABS.

    MLB switched Triple-A to an all-challenge system on June 26, 2024, then used the challenge system this year at 13 spring training ballparks hosting 19 teams for a total of 288 exhibition games. Teams won 52.2% of their ball/strike challenges (617 of 1,182) challenges.

    At Triple-A this season, the average challenges per game increased to 4.2 from 3.9 through Sunday and the success rate dropped to 49.5% from 50.6%. Defenses were successful in 53.7% of challenges this year and offenses in 45%.

    In the first test at the big League All-Star Game, four of five challenges of plate umpire Dan Iassogna’s calls were successful in July.

    Teams in Triple-A do not get additional challenges in extra innings. The proposal approved Tuesday included a provision granting teams one additional challenge each inning if they don’t have challenges remaining.

    MLB has experimented with different shapes and interpretations of the strike zone with ABS, including versions that were three-dimensional. Currently, it calls strikes solely based on where the ball crosses the midpoint of the plate, 8.5 inches from the front and the back. The top of the strike zone is 53.5% of batter height and the bottom 27%.

    This will be MLB’s first major rule change since sweeping adjustments in 2024. Those included a pitch clock, restrictions on defensive shifts, pitcher disengagements such as pickoff attempts and larger bases.

    The challenge system introduces ABS without eliminating pitch framing, a subtle art where catchers use their body and glove to try making borderline pitches look like strikes. Framing has become a critical skill for big league catchers, and there was concern that full-blown ABS would make some strong defensive catchers obsolete. Not that everyone loves it.

    “The idea that people get paid for cheating, for stealing strikes, for moving a pitch that’s not a strike into the zone to fool the official and make it a strike is beyond my comprehension,” former manager Bobby Valentine said.

    Texas manager Bruce Bochy, a big league catcher from 1978-87, maintained old-school umpires such as Bruce Froemming and Billy Williams never would have accepted pitch framing. He said they would have told him: “’If you do that again, you’ll never get a strike.’ I’m cutting out some words.”

    Management officials on the competition committee include Seattle chairman John Stanton, St. Louis CEO Bill DeWitt Jr., San Francisco chairman Greg Johnson, Colorado CEO Dick Monfort, Toronto CEO Mark Shapiro and Boston chairman Tom Werner.

    Players include Arizona’s Corbin Burnes and Zac Gallen, Detroit’s Casey Mize, Seattle’s Cal Raleigh and the New York Yankees’ Austin Slater, with the Chicago Cubs’ Ian Happ at Detroit’s Casey Mize as alternates. The union representatives make their decisions based on input from players on the 30 teams.

    Bill Miller is the umpire representative.

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    AP MLB: https://apnews.com/hub/MLB

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  • To protect soldiers, Ukraine uses remote-controlled vehicles for dangerous missions

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    DONETSK REGION, Ukraine — On a battlefield swarming with deadly Russian drones, Ukrainian soldiers are increasingly turning to nimble, remote-controlled armored vehicles that can perform an array of tasks and spare troops from potentially life-threatening missions.

    The Ukrainian army is especially eager to deploy what soldiers refer to as “robots on wheels” as it faces a shortage of soldiers in a war that has dragged on for more than 3 ½ years. The vehicles look like miniature tanks and can ferry supplies, clear mines and evacuate the wounded or dead.

    “It cannot fully replace people,” said the commander of a platoon of the 20th Lyubart Brigade who goes by the call sign Miami and spoke on condition of anonymity in line with military rules. “I would put it this way: A person can go in there, but for a human it’s (sometimes) far too dangerous.”

    The robotic vehicles are mostly made by Ukrainian companies and range in cost from about $1,000 to as much as $64,000, depending on their size and capabilities.

    While they have become vital to Ukrainian troops along the 1,000 kilometer (620 mile) front line, such vehicles are not new to warfare.

    The German army used a remote-controlled miniature tank – tethered by a wire — called the Goliath in World War II. In recent decades, the U.S., Israel, Britain and China have developed modern versions used for combat engineering and other battlefield roles, according to Ben Barry, a fellow at the International Institute for Strategic Studies. But Ukraine’s extensive deployment of these vehicles is noteworthy and could lead to advances, Barry said.

    The Russian army also uses remote-controlled vehicles.

    Miami joined the army on the first day of Russia’s full-scale invasion in February 2022. He served as an infantryman and later a drone operator before his latest assignment. His path reflects how the war itself has evolved.

    “I couldn’t even imagine that I would become a (drone) pilot,” he said. “But war is progress, and we cannot stand aside.”

    The robotic vehicles his team deploys are armored and mounted on either wheels or tracks. Painted in military colors, they crawl slowly over rubble or dirt roads, easily navigating terrain that would be difficult – or too dangerous — for soldiers.

    “They arrive in one condition, and we improve them,” Miami said. “We adapt the controls to work better (in the face of Russia’s) electronic warfare so the connection doesn’t cut off.”

    Miami’s 10-man team is just starting to incorporate the machines into their missions, mostly using them to deliver food and ammunition to soldiers near the front.

    Just like remote-controlled, or first-person view, drones, the use of these vehicles will only grow, said a soldier in Miami’s unit who goes by the call sign Akim and spoke on condition of anonymity.

    “When FPV drones first appeared, they weren’t popular, but those who pioneered them, (now) show (the best) results,” said Akim.

    Before sending a remote-controlled vehicle forward, Akim flies a drone along the planned route to check for obstacles or mines.

    Operating from a cramped basement near Kostiantynivka, less than 10 kilometers from the front, Akim can hear the muffled thuds of aerial bombs, the sharp cracks of artillery and the buzzing of drones.

    Kostiantynivka, once home to 67,000 people, is a largely deserted city on a shrinking patch of Ukrainian-held territory just west of Bakhmut. It is nearly encircled on three sides by Russian forces. Apartment blocks are scarred by strikes, smoke still rises from recent bombings, and the roads leading toward nearby Pokrovsk are littered with burned-out cars.

    The aerial drone allows Akim to scout the city and routes without risking his life.

    “Every time a drone or a robot does something, it means one of our fighters doesn’t have to,” Akim said. On top of that, “the machine doesn’t get tired. It can carry as much as needed.”

    Akim works in tandem with another soldier operating the robotic vehicle with a joystick. The vehicle has no camera; instead, Akim’s drone feed provides its “eyes.”

    On one recent mission, the team loaded it with 200 kilograms (440 pounds) of supplies — ammunition, fuel, water and food — and sent it several kilometers to drone operators closer to the front. The machine moved forward at about six kilometers per hour, delivered its cargo into a well-hidden position in the forest, and returned to base.

    Because robotic vehicles move more slowly than cars or trucks, and usually across open ground, they are an easy target — and this is one factor slowing their adoption.

    “That’s why we haven’t evacuated many wounded (on these vehicles),” said Miami. “Some refuse to leave because it’s dangerous.”

    There are also cost considerations, with the vehicles his platoon uses averaging roughly 400,000 hryvnias ($9,700). “That’s not too expensive, but when three or four get destroyed in a week, the total adds up,” Miami said.

    To make them less vulnerable, Miami and his soldiers have tried welding grill-like cages onto the machines or attaching metallic rollers in front to detect mines. The war provides real-time feedback that is incorporated into newer models being built.

    ___

    Vasilisa Stepanenko and Yehor Konovalov contributed to this report.

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  • Student secures $25K grant for Beverly High robotics

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    BEVERLY — The robotics program at Beverly High School recently received a $25,500 grant for new equipment – all thanks to one student.

    Miranda Harrington, 17, is a senior in the school’s robotics program and the president of the Beverly High Robotics Team. She has been looking for grants to fund the robotics program and the team since her sophomore year, and stumbled upon a grant for new STEM equipment and training from the Massachusetts Life Sciences Center.


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    By Caroline Enos | Staff Writer

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  • A robot programmed to act like a 7-year-old girl works to combat fear in hospitals

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    Days after Meagan Brazil-Sheehan’s 6-year-old son was diagnosed with leukemia, they were walking down the halls of UMass Memorial Children’s Medical Center when they ran into Robin the Robot.

    “Luca, how are you?” it asked in a high-pitched voice programmed to sound like a 7-year-old girl. “It’s been awhile.”

    Brazil-Sheehan said they had only met the 4-foot-tall (1.2-meter-tall) robot with a large screen displaying cartoonlike features once before after they were admitted several days earlier.

    “His face lit up,” she said about the interaction in June in Worcester, Massachusetts. “It was so special because she remembered him.”

    Robin is an artificial intelligence -powered therapeutic robot programed to act like a little girl as it provides emotional support at nursing homes and hospital pediatric units while helping combat staffing shortages. Five years after launching in the U.S., it has become a familiar face in 30 health care facilities in California, Massachusetts, New York and Indiana.

    “Nurses and medical staff are really overworked, under a lot of pressure, and unfortunately, a lot of times they don’t have capacity to provide engagement and connection to patients,” said Karen Khachikyan, CEO of Expper Technologies, which developed the robot. “Robin helps to alleviate that part from them.”

    As AI increasingly becomes a part of daily life, it’s found a foothold in medical care — providing everything from note-taking during exams to electronic nurses. While heralded by some for the efficiency it brings, others worry about its impact on patient care.

    Robin is about 30% autonomous, while a team of operators working remotely controls the rest under the watchful eyes of clinical staff. Khachikyan said that with each interaction, they’re able to collect more data — while still complying with the Health Insurance Portability and Accountability Act, or HIPAA — and get closer to it being able to function independently.

    “Imagine a pure emotional intelligence like WALL-E. We’re trying to create that,” he said, referencing the 2008 animated film.

    On a recent Friday, a staff member at HealthBridge Children’s Hospital in Orange County, California, read off a list of patients she needed Robin to visit, along with the amount of time to spend with each one.

    The robot with a sleek white triangle-shaped frame that Khachikyan said was designed for hugging, rolled into a room with a teenager injured in a car accident. The robot played what it described as his favorite song — “No Fear” by DeJ Loaf — and he danced along. In the hallway, Robin cracked up a young child held by her mother when it put on a series of silly glasses and a big red nose. In another room, the robot played a simplified version of tic-tac-toe with a patient.

    Samantha da Silva, speech language pathologist at the hospital, said patients light up when Robin comes into their room and not only remembers their names but their favorite music.

    “She brings joy to everyone,” da Silva said. “She walks down the halls, everyone loves to chat with her, say hello.”

    Robin mirrors the emotions of the person it is talking with, explained Khachikyan. If the patient is laughing then the robot laughs along, but if they’re sharing something difficult, its face reflects sadness and empathy.

    In nursing homes, Robin plays memory games with people suffering from dementia, takes them through breathing exercises on difficult days and offers them a form of companionship that resembles a grandchild with a grandparent.

    Khachikyan recalled a moment last year at a facility in Los Angeles where a woman was having a panic attack and asked specifically for the robot. Robin played songs by her favorite musician and videos of her favorite animal — Elvis Presley and puppies — until she had calmed down.

    But with the Association of American Medical Colleges projecting that the U.S. will face a shortage of up to 86,000 physicians in the next 11 years, Khachikyan’s vision for Robin goes far beyond this type of support.

    He said they’re working to make the robot able to measure patients’ vitals and check to see how they’re doing and then send that information to their medical team. Longer term plans include designing Robin to help elderly patients change their clothes and go to the bathroom.

    “Our goal is to design the next evolution of Robin; that Robin will take more and more responsibilities and become even more essential part of care delivery,” Khachikyan said.

    He clarified that it’s not about replacing health care workers but about filling in the gaps in the workforce.

    At UMass, the robot is very much a part of a team of support for patients. When Luca needed an IV after not getting one in a while, Micaela Cotas, a certified child life specialist came in with the robot and showed him an IV and what was about to happen, and then Robin played a cartoon of it getting an IV put in.

    “It just kind of helps show that Robin has gone through those procedures as well, just like a peer,” Cotas said.

    Robin was developed by Khachikyan while he was getting his Ph.D. He said growing up in a single-parent household in Armenia had been lonely, so years later he wanted to build a type of robot that could act as a person’s friend.

    Developers tested it in a variety of industries before an investor suggested that pediatric hospitals would be a good fit because of the stress and loneliness children often feel.

    “That was kind of an aha moment,” he said. “We decided, OK let’s try it.”

    They had success introducing it at a pediatric hospital in Armenia and by 2020 launched a pilot program at UCLA Mattel Children’s Hospital.

    Since Robin was created, its personality and character have changed significantly based on the responses from people it interacts with.

    Khachikyan gave the example of Robin’s answer to the question: “What is your favorite animal.” Initially they tried having the robot respond with dog. They also tried cat. But when they tried chicken, the children cracked up. So they stuck with it.

    “We created Robin’s personality by really taking users into the equation,” he said. “So we often say that Robin was designed by users.”

    ___

    Associated Press journalist Damian Dovarganes contributed to this report.

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  • Robots step in more than ever when credit traders go on vacation

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    When US credit traders go to the beach, algorithms are increasingly stepping in for them, allowing transaction volume to stay relatively high even during a traditionally slow period. Algorithmic trading accounted for more than 40% of trading in the US high-grade market in August, a percentage that has climbed steadily since that month in 2020, […]

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    Bloomberg News

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  • Now summer’s over, here’s what to do with all those photos on your camera roll

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    LONDON — The summer holidays are over, and all those great times you had on vacation have been memorialized in hundreds of smartphone photos. Now what?

    Some highlights — the prettiest sunset, the best group shots — have been posted on Instagram or shared in the family chat group. But many more will likely languish in your camera roll.

    Because smartphones come with increasingly large amounts of file storage, it’s too easy to take photos just because we can. But it’s also real work to go through them all later, so it’s too easy to forget about them.

    Here are some quick and easy methods to help deal with the pictures (and videos) overwhelming your phone.

    There will some shots that will be the most important — standout photos that you want to share with others, or know that you’ll look back on years later, or just keep for reference. Star or heart any photos that fall into this category, which puts them into a folder or album for favorites.

    After a recent extended family trip to Turkey, I ended up with quite a few photos of restaurant and cafe menus. They were shared in the family WhatsApp group to decide where or what to eat. But we’ll probably never visit those establishments again.

    It’s always good practice cull photos that you just don’t need anymore, which could also include screenshots, pictures of receipts or duplicate images. But going through hundreds of trip photos could be a little tedious without some help. Fortunately, there are dozens of photo deletion and cleanup apps available that aim to speed the job up.

    Many of them resemble dating apps like Tinder, because they let you swipe left to delete and swipe right to save a photo. Some are free, others need a subscription.

    It starts getting more challenging when you have images that are similar but not identical. Which one should you keep? Some apps have a comparison feature to help you decide.

    I tried a few of these apps and found that Clever Cleaner’s Similars function works well, helping me whittle down, for example, many of the various nearly identical shots I took of Istanbul’s skyline while crossing the Bosphorus Strait by ferry at dusk. The free app grouped similar pictures together and then suggested the best shot to keep. I found that I generally agreed with its suggestions.

    Even if you’ve managed to sort through your camera roll, it will probably still be a jumble of images stretching back in an unbroken stream.

    So group photos into albums organized by themes. Android and iPhone users can do this on the Photos apps on their respective operating systems. Select all the photos from a trip and add them to a new album.

    Planning ahead will make this process easier. Create an album when you start your trip, then save the photos there as you take them.

    You can also create a shared album on Android or iPhone, which lets other people view or comment on photos or add their own.

    If you don’t want to set up a shared album, Android and Google Photos lets users create links so others can just view an album or individual photo. It’s not so easy on iOS, which only lets users export the album’s photos. You can share individual photos with an iCloud link but it expires after 30 days.

    Now that you’ve edited and curated your holiday pictures, consider taking an analog approach to showing them off.

    Print them out and put them in an album that people can flip — not scroll — through. Or blow up the most eye-catching shot to frame and hang it as wall art.

    Google Photos offers a photo book printing service that uses artificial intelligence to curate photos into generic themes, like Spring 2025, Memories, or They Grow Up So Fast, and generate basic no-frills layouts.

    Other services like Mixbook and Shutterstock offer services that automatically generate more elaborately designed photobooks. Mixbook can even provide AI-generated photo captions, though the results might be, well, mixed.

    ____

    AP Technology Writer Barbara Ortutay in San Francisco contributed to this report.

    ____

    Is there a tech topic that you think needs explaining? Write to us at onetechtip@ap.org with your suggestions for future editions of One Tech Tip.

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  • Elon Musk in line for $1 trillion pay package if Tesla hits aggressive goals

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    Tesla CEO Elon Musk could be in line for a payout of $1 trillion if his electric car company meets a series of extremely aggressive targets over the next 10 years, according to documents released by the company.

    Tesla, which is leaning heavily into robotics and AI, said in a regulatory filing on Friday that the package has a dozen share tranches that include awards for Musk if targets, ranging from car production to the total value of the company, are met over that time period.

    Very early in the plan, Tesla would have to reach a market valuation of $2 trillion and achieve 20 million vehicles deliveries. Tesla delivered less than 2 million vehicles in 2024.

    That milestone would also required a million robotaxis in commercial operation and the delivery of 1 million artificial intelligence bots.

    Musk needs to remain with Tesla for at least seven and a half years to cash out on any stock, and 10 years to earn the full amount.

    Musk has been one of the richest people in the world for several years.

    Musk would also receive more voting power over Tesla under the proposed plan. The EV company is set to hold its annual shareholders meeting on Nov. 6. Tesla’s last shareholders meeting was on June 13 of last year, where investors voted to restore Musk’s record $44.9 billion pay package that was thrown out by a Delaware judge earlier that year.

    A condition of the 11th and 12th tranches of the plan includes Musk coming up with a framework for someone to succeed him as CEO.

    The goals set out for Musk and Tesla are extremely ambitious given recent tumult at the Texas company.

    Tesla shares have plunged 25% this year largely due to blowback over Musk’s affiliation with President Donald Trump. But Tesla also faces intensifying competition from the big Detroit automakers and particularly from China.

    Telsa sales have fallen precipitously in Europe after Musk aligned with a far-right political party in German.

    Sales plunged 40% in July in the 27 European Union countries compared with the year earlier even as sales overall of electric vehicle soared, according to the European Automobile Manufacturers’ Association. Meanwhile sales of Chinese rival BYD continued to climb fast, grabbing 1.1% market share of all car sales in the month versus Tesla’s 0.7%.

    In its most recent quarter, Tesla reported that quarterly profits plunged from $1.39 billion to $409 million. Revenue also fell and the company fell short of even the lowered expectations on Wall Street.

    Investors have grown increasingly worried about the trajectory of the company after Musk had spent so much time in Washington this year, becoming one of the most prominent officials in the Trump administration in its bid to slash the size of the U.S. government.

    Last month Tesla said that it gave Musk a stock grant of $29 billion as a reward for years of “transformative and unprecedented” growth despite a recent foray into right-wing politics that has hurt its sales, profits and its stock price.

    The award arrived eight months after a judge revoked Musk’s 2018 pay package for a second time, something the company noted in August. Tesla has appealed the ruling.

    Tesla said at the time that the grant was a “first step, good faith” way of retaining Musk and keeping him focused, citing his leadership of SpaceX, xAI and other companies. Musk said recently that he needed more shares and control so he couldn’t be ousted by shareholder activists.

    Tesla’s stock rose nearly 2% in premarket trading.

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  • Salesforce CEO Marc Benioff hails Tesla’s Optimus robot as a ‘productivity game-changer,’ in video showing what it can and can’t do

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    Salesforce CEO Marc Benioff on Wednesday delivered a strong endorsement of Tesla’s Optimus humanoid robot, with a tweet and accompanying video declaring it the “dawn of the physical Agentforce revolution” and a “productivity game-changer” that could transform how businesses operate. His enthusiastic post endorses Tesla’s strategy and Elon Musk’s bold robotics ambitions.

    “Elon’s Tesla Optimus is here! Dawn of the physical Agentforce revolution, tackling human work for $200K–$500K. Productivity game-changer!” Benioff wrote on X, adding a personal note: “Congrats @elonmusk, and thank you for always being so kind to me!” The tweet was accompanied by a video showing Benioff interacting directly with one of Tesla’s humanoid robots at the company’s California facility.

    The casual exchange captured in the video offers a glimpse into the current capabilities, and limitations, of Tesla’s Optimus. When Benioff asks, “Hey, Optimus. What are you doing there?” the robot responds, “Just chilling, ready to help.” The conversation continues with Benioff requesting directions to find a Coke, to which Optimus replies, “Sorry, I don’t have real-time info, but I can take you to the kitchen if you want to check for a Coke there.” As they prepare to walk together, someone off-camera notes, “We need to give it a bit more room. Right now, it’s kind of paranoid about space. And it’ll be able to walk a lot faster, too.”

    You can watch the full exchange below:

    Tesla shares are holding steady at around $333 as of Thursday morning, but they’re up over 22% over the last six months. On Tuesday, Musk shared Tesla’s so-called “Master Plan Part IV,” which positions Optimus as central to the company’s future: The CEO claims “about 80% of Tesla’s value will eventually come from Optimus,” a projection that would value the robot program at roughly $20 trillion based on Tesla’s current market capitalization.

    Musk set ambitious targets early in the year, predicting Tesla would manufacture thousands of Optimus units in 2025 and projecting the project could eventually generate more than $10 trillion in revenue. However, production plans encountered significant headwinds when China implemented export restrictions on rare-earth materials essential for the robots’ movement. During Tesla’s April earnings call, Musk explained a magnet issue was disrupting production timelines, noting that China required assurances the rare-earth magnets would not be used for military purposes, adding that Tesla was working with Beijing to secure the necessary export licenses. Optimus’ production challenges deepened in June when Milan Kovac, who had overseen Tesla’s Optimus development since 2022, stepped down to spend more time with family.

    The projected price range for Tesla’s Optimus robot is between $15,000 and $30,000 at launch, with most recent updates suggesting the initial consumer models will be priced around $18,999 to $20,000, depending on features and configuration. Elon Musk and Tesla have publicly targeted keeping the price “under $20,000” for the base version, though more advanced or customized units could cost more.

    Production reality check

    While Musk’s rhetoric remains ambitious, the practical reality of bringing Optimus to market tells a more complex story. Tesla initially targeted producing 5,000 units by the end of 2025, but has manufactured only hundreds of prototypes so far. And with Kovac, the project’s original head, out, the program is now undergoing significant redesign under the leadership of Ashok Elluswamy, Tesla’s AI software vice president.

    Technical challenges continue to plague the project. According to The Information, engineers have reportedly run into issues with joints overheating, limited battery life, difficulties achieving human-like dexterity in the robot’s hands, and overall efficiency. Tesla has reportedly stockpiled mostly complete robot bodies that are still missing critical components like hands and forearms, while production of these intricate parts lags behind. Meanwhile, current Optimus prototypes deployed in Tesla’s own battery workshops are apparently operating at less than half the efficiency of human workers. The company paused parts procurement in June to redesign core systems, with suppliers indicating the fixes could take months.

    Tesla did not immediately respond to Fortune‘s request for comment.

    What it all means for Tesla

    For Benioff, the Optimus endorsement aligns with his broader transformation of Salesforce into what he calls an “agentic” enterprise. Under his leadership, the company has deployed AI agents extensively, reducing its customer support workforce from 9,000 to 5,000 employees while maintaining service levels. This experience with digital labor gives weight to his assessment of physical robots as the next frontier.

    “I’m not just managing human beings—I’m also managing agents, an entirely new type of digital labor,” Benioff said at the Salesforce 2.0 event last December. His vision extends beyond software to encompass robots as “physical manifestations of agents,” positioning companies like Tesla at the forefront of what could potentially be a trillion-dollar market opportunity.

    While Musk has increasingly positioned Tesla as an AI and robotics company rather than a traditional automaker, skeptics point to Tesla’s history of ambitious timelines that have consistently been pushed back—I mean, just look at this list. Many of Musk’s previous promises remain unfulfilled. That said, the stakes for Optimus are enormous. If successful, Optimus could revitalize Tesla and revolutionize manufacturing, caregiving, and countless other industries while justifying Tesla’s premium valuation. If production challenges persist, it risks becoming another example of Musk’s tendency to overpromise on breakthrough technologies.

    For this story, Fortune used generative AI to help with an initial draft. An editor verified the accuracy of the information before publishing.

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    Dave Smith

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  • This Robot Only Needs a Single AI Model to Master Humanlike Movements

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    While there is a lot of work to do, Tedrake says all of the evidence so far suggests that the approaches used to LLMs also work for robots. “I think it’s changing everything,” he says.

    Gauging progress in robotics has become more challenging of late, of course, with videoclips showing commercial humanoids performing complex chores, like loading refrigerators or taking out the trash with seeming ease. YouTube clips can be deceptive, though, and humanoid robots tend to be either teleoperated, carefully programmed in advance, or trained to do a single task in very controlled conditions.

    The new Atlas work is a big sign that robots are starting to experience the kind of equivalent advances in robotics that eventually led to the general language models that gave us ChatGPT in the field of generative AI. Eventually, such progress could give us robots that are able to operate in a wide range of messy environments with ease and are able to rapidly learn new skills—from welding pipes to making espressos—without extensive retraining.

    “It’s definitely a step forward,” says Ken Goldberg, a roboticist at UC Berkeley who receives some funding from TRI but was not involved with the Atlas work. “The coordination of legs and arms is a big deal.”

    Goldberg says, however, that the idea of emergent robot behavior should be treated carefully. Just as the surprising abilities of large language models can sometimes be traced to examples included in their training data, he says that robots may demonstrate skills that seem more novel than they really are. He adds that it is helpful to know details about how often a robot succeeds and in what ways it fails during experiments. TRI has previously been transparent with the work it’s done on LBMs and may well release more data on the new model.

    Whether simple scaling up the data used to train robot models will unlock ever-more emergent behavior remains an open question. At a debate held in May at the International Conference on Robotics and Automation in Atlanta, Goldberg and others cautioned that engineering methods will also play an important role going forward.

    Tedrake, for one, is convinced that robotics is nearing an inflection point—one that will enable more real-world use of humanoids and other robots. “I think we need to put these robots out of the world and start doing real work,” he says.

    What do you think of Atlas’ new skills? And do you think that we are headed for a ChatGPT-style breakthrough in robotics? Let me know your thoughts on ailab@wired.com.


    This is an edition of Will Knight’s AI Lab newsletter. Read previous newsletters here.

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    Will Knight

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  • Humanoid robots showcase skills at Ancient Olympia. But they’re on a long road to catch up to AI

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    ANCIENT OLYMPIA, Greece — With jerky determination, robots played soccer, wowed children with shadow-boxing skills and shot arrows on Monday at the birthplace of the Olympic Games.

    As they shuffled and occasionally froze for a battery change, their creators and futurologists debated the central question of when robots will be ready to tidy closets and wash dishes.

    Despite the explosive advance of artificial intelligence in applications like ChatGPT, their physical cousins — robots with human-like appearances and skills — are lagging years behind.

    “I really believe that humanoids will first go to space and then to houses … the house is the final frontier,” said Minas Liarokapis, a Greek academic and startup founder who organized the International Humanoid Olympiad.

    The four-day event gathered experts and developers at Ancient Olympia in southern Greece where the flame is lit every two years for the modern Summer and Winter Games.

    “To enter the house it’ll take more than 10 years. Definitely more,” Liarokapis said. “I’m talking about executing tasks with dexterity, not about selling robots that are cute and are companions.”

    AI is racing ahead thanks to vast amounts of data readily available online. But training material for humanoid robots is scarce. It involves real-world actions that are slower, more expensive and harder to record than digital data like text or images.

    By one measure, humanlike robots are roughly 100,000 years behind AI in learning from data, according to an article in the current edition of the journal Science Robotics.

    To catch up, author Ken Goldberg, a professor at the University of California, Berkeley, urged makers to move beyond simulations and combine “old-fashioned engineering” with real-world training. That, he argues, would let robots “collect data as they perform useful work, such as driving taxis and sorting packages.”

    Luis Sentis, professor of aerospace engineering and engineering mechanics at The University of Texas at Austin, said that successful robotics requires collaboration between researchers, data companies and major manufacturers to provide scale. Those partnerships, he noted, are already attracting billions of dollars in funding to develop humanoid robots.

    “These synergies are happening very, very quickly. So I do see these problems being cracked on a day-to-day basis,” said Sentis, who’s also a co-founder of humanoid maker Apptronik.

    Developers at the Greek event brought their own ideas.

    Aadeel Akhtar, CEO and founder of advanced prosthetics maker Psyonic, gained international attention after appearing on the U.S. television show “Shark Tank” last year seeking investment for his company’s bionic hand, which offers sensory feedback.

    That data, he told The Associated Press on Monday, could accelerate robot development.

    “We’ve built our hand for both humans and robots,” he said. “So we’re closing that gap by actually using the hand of the prosthetic on humans and then translating that (data) over to robots.”

    Hon Weng Chong, CEO of Cortical Labs, said that the Australian biotech company is developing a so-called biological computer that uses real brain cells grown on a chip. Those cells can learn and respond to information — and potentially teach robots to think and adapt more like humans.

    At the Olympiad, organizers hoped to lay a foundation for annual competitions providing an “honest validation of the progress that has been made in humanoid robots,” said Patrick Jarvis, who with Liarokapis is co-founder of robot maker Acumino.

    Organizers limited events to what humanoids could reasonably attempt.

    “We were trying to get the discus and the javelin, but that’s tough for humanoid robots,” Jarvis said. “We also can’t say whose robot can do a high jump because you’d have to build special legs … and that’s not necessary for most humanoid robots.”

    One company even tested whether its machine could manage the shot put, said Thomas Ryden, executive director of MassRobotics, who worked to “get as many humanoid companies there as possible.”

    In the end, several U.S. roboticists came to Greece to speak, but few brought robots.

    Chinese companies increasingly showcase their machines at public events, such as Beijing’s first Humanoid Robot Games in August, while U.S. rivals mostly stick to polished videos that can mask failures.

    There are exceptions. Elon Musk revealed Tesla’s Optimus in 2022: The prototype walked stiffly onstage, turned and waved to a cheering crowd.

    Boston Dynamics went further. Ten years after launching its dog-like Spot, the company had them dance in synchrony to a Queen song on “America’s Got Talent.”

    One of the five broke down mid-routine, creating a reality-show punchline, but also highlighting their agility and coordination.

    “Can I be honest with you? I actually think — I don’t mean this in a cruel way — it was weirdly better that one of them died,” judge Simon Cowell said. “Because it showed how difficult this was.”

    ___

    AP Technology Writer Matt O’Brien reported from Providence, Rhode Island.

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  • Nvidia Unveils High-Tech ‘Brain’ for Humanoid Robots and Self-Driving Cars

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    Could humanoid robots get a lot more human? Nvidia may have made that possibility a bit realer today with a smarter robot brain that has less energy demands. 

    The tech giant’s latest robotics offering is Jetson Thor, a super computer built for real-time AI computation on humanoid robots and smart machines alike, Nvidia announced in a press release on Monday.

    The new module is built to handle larger amounts of information at less energy than previous model Jetson Orin. Powered by the latest Blackwell GPUs, Jetson Thor has more than seven times the AI compute power and twice the memory at more than three times speed and efficiency than its predecessor, Nvidia claims.

    All this new power is supposed to unlock higher speed sensor data and visual reasoning that can help humanoid robots get better at autonomously seeing, moving, and making decisions.

    “Jetson Thor solves one of the most significant challenges in robotics: enabling robots to have real-time, intelligent interactions with people and the physical world,” the company wrote.

    It’s a considerable performance leap that Nvidia hopes will appeal to engineers. The company says early adopters include Amazon, Meta, Caterpillar, and Agility Robotics, a startup that makes commercially available humanoid robots for warehouses and other manufacturing facilities. The model is being considered for adoption by John Deere and OpenAI.

    It’s also being adopted by research labs at Stanford, Carnegie Mellon, and the University of Zurich, to power autonomous robots in medical research settings and more, Nvidia said in a blog post on Monday.

    The developer kit Jetson AGX Thor, which includes the Jetson T5000 module plus a reference carrier board, power supply, and an active heatsink with a fan, is now on sale on the company’s website starting at $3,499.

    Coming soon—and available now on pre-order—is Nvidia Drive AGX Thor, a developer kit using the same technology but for autonomous vehicles instead. Deliveries for that are slated to start in September, the company said.

    Nvidia’s growing bet on robotics

    Although AI chips are Nvidia’s bread and butter, the tech giant is betting big on robotics and autonomous vehicles.

    “This is going to be the decade of AV [autonomous vehicles], robotics, autonomous machines,” CEO Jensen Huang told CNBC in an interview in June.

    Huang elaborated on his trust in just how much the robotics industry can scale at the company’s annual shareholders meeting later that month.

    Along with AI, Nvidia expects robotics to provide the largest growth for the company, and combined, the two represent “a multitrillion-dollar growth opportunity,” Huang told investors.

    Earlier this year, the company also released a family of AI models that can be used to train humanoid robots, called Cosmos.

    Huang’s bet isn’t an empty one. Humanoid robots are advancing.

    Just last week, China, one of the key players in the global robotics race, hosted its first-ever robot Olympics, World Humanoid Robot Games. At the three-day spectacle, companies showcased robots that can complete a 1,500-meter race in just a little over six seconds and achieve practical job skills like sorting medicine or taking food orders.

    But still, the technology is hugely limited and far from widespread adoption. Even at the great robotics showcase in China, many of the robots suffered technical difficulties. One robot in the track and field race even ran straight into and knocked over a bystander walking off-course. 

    Big week ahead for Nvidia

    Nvidia made the announcement at a rather convenient time for the company. The tech giant is reporting fiscal second quarter earnings on Wednesday afternoon, and the market is buzzing already.

    Nvidia dominates the AI market, so the company’s earnings always draw huge speculation, but the importance this week is boosted by volatile policy changes and questions around the economic value of wide-scale AI adoption.

    The company has been on a policy rollercoaster ride in its efforts to sell AI chips in China amidst the escalating trade war between Beijing and Washington. China is a major market for Nvidia, and the uncertainty is keeping company investors at the edge of their seats.

    Also keeping investors occupied is a concerning new AI report from MIT researchers. The report found that despite the bold bets on AI in the corporate world, fewer than one in 10 AI pilot programs have translated to real revenue gains.

    Nvidia just hit $4 trillion market value last month, becoming the first public company to achieve the feat. Now, the stakes are high, as it’s up to the tech giant to prove that it’s valuation is not just built on AI hype.

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    Ece Yildirim

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  • KnowAtom Launches SocraCircle+: A First-of-Its-Kind Social AI Tool Designed to Deepen Human Connection and Student Thinking Through Live Classroom Dialogue

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    New virtual student participant, SocraBot, helps K-12 students engage curiosity, build peer-to-peer understanding, and think more deeply – together

    KnowAtom, a leading provider of hands-on, inquiry-driven core science curriculum for K-8, has announced the launch of SocraCircle+, a groundbreaking classroom discussion tool that uses artificial intelligence not to generate answers – but to cultivate deeper, more human conversations in real time.

    At the center of SocraCircle+ is SocraBot, a virtual student participant who models curiosity, reflects on peer contributions, and helps students explore, agree, disagree, and extend their thinking in meaningful ways.

    “In many of today’s edtech tools, AI is used to help teachers or students do more of the same – create faster, polish more, or extract content through Q&A interfaces,” said Francis Vigeant, CEO of KnowAtom. “But more of the same simply produces more of the same outcomes. SocraCircle+ asks a different question: How can AI help students become more authentic, connected, and curious humans in conversation with one another? That’s where learning lives.”

    SocraCircle+ supports live, student-centered discussion across any K-12 subject – including science, ELA, social studies, SEL, and more. Teachers can launch a discussion in seconds. As students contribute, SocraBot responds naturally in real time, offering thoughtful follow-ups, modeling high-quality reasoning, and prompting students to consider ideas from new angles – just like a reflective peer would.

    Unlike AI tools that replicate or automate teacher work, SocraCircle+ is designed to elevate student voice and reduce reliance on teacher-led prompts or curriculum scripting. It’s built on KnowAtom’s own research and long-standing classroom results: clients consistently rank among the top performers in state science assessments, thanks to a pedagogy rooted in decades of cognitive science, educational research, and practical implementation.

    “At KnowAtom, we understand that learning is the result of interplay between culture, problems, questions, and ideas – and dialogue is the nexus where they meet,” Vigeant said. “SocraCircle+ brings that dialogue to life at a deep level.”

    Built-in multilingual support allows students to participate in most native languages, with responses translated for the group, ensuring a voice for all students. SocraBot never provides links or external content, and student identities are anonymized within the platform to create a safe, focused environment.

    SocraCircle+ is now available at no additional cost to KnowAtom’s science curriculum customers. Educators can log in to their KnowAtom portal today to begin using the tool. For teachers who don’t have access to KnowAtom’s next generation science curriculum portal, free trials are available on KnowAtom’s SocraCircle+ page.

    For more information, visit www.knowatom.com or contact press@knowatom.com

    About KnowAtom
    KnowAtom is an award-winning K-8 education company committed to helping students think like scientists and engineers. Through fully integrated, 100% hands-on core science curriculum, professional development, and digital tools, KnowAtom supports schools in building classroom cultures of thinking around next generation science standards in adaptive and adoptive states. Grounded in research and proven through top-tier student outcomes, KnowAtom’s approach empowers educators to shift learning from passive recall to active, authentic engagement.

    Source: KnowAtom, LLC

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  • One Firefly Supports the Future of STEM with $10,000 Donation to FIRST Robotics Competition South Florida Regional

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    One Firefly, an award-winning marketing agency that caters to technology professionals in the residential and commercial custom integration markets, is reinforcing its commitment to innovation and community impact by donating $10,000 to the 2025 FIRST Robotics Competition South Florida Regional. This sponsorship underscores the company’s dedication to fostering the next generation of STEM leaders and providing opportunities for young minds to engage with science, technology, engineering, and mathematics in meaningful ways.

    FIRST (For Inspiration and Recognition of Science and Technology) is a globally recognized nonprofit that equips students with hands-on experience in robotics, teamwork, and problem-solving. The annual FIRST Robotics Competition brings high school teams nationwide to design, build, and program industrial-sized robots to compete in high-energy challenges. The South Florida Regional event in April 2025 is one of many held nationwide that encourages students to develop critical STEM skills while fostering creativity, leadership, and collaboration.

    One Firefly CEO, Ron Callis, has had a long-standing connection with FIRST, dating back to 2012 when he co-founded a robotics team in South Florida after being inspired by a keynote address from FIRST founder Dean Kamen at CEDIA. Reflecting on his experience, Callis shared:

    “I’ve seen firsthand the profound impact of FIRST Robotics on students. This program teaches STEM skills and instills confidence, teamwork, and business acumen. Many students, especially those from underprivileged backgrounds, can access opportunities they never imagined possible. At One Firefly, we believe in giving back and investing in the future of our industry. Supporting FIRST Robotics is one way to help shape the next generation of innovators.”

    The connection between FIRST Robotics and the custom integration industry is particularly relevant, as many students develop skills that translate directly into technology, engineering, and automation careers. Callis noted the increasing need for skilled talent in the custom integration space and emphasized how programs like FIRST can serve as a pipeline for the next generation of industry professionals:

    “The custom integration industry faces real challenges regarding labor shortages. Many of these students have the technical aptitude, problem-solving mindset, and hands-on experience that make them ideal candidates for careers in our field. By supporting FIRST, we’re not only investing in these students’ futures but also in the future of our industry.”

    For Jessica Telles, Corporate Programs Lead at One Firefly, the sponsorship holds personal significance. A former FIRST Robotics team captain, Telles experienced firsthand how the program opens doors for students. After participating in FIRST, she interned at One Firefly before joining full-time, where she has now been an integral team member for nearly a decade.

    “FIRST Robotics shaped my career in ways I never expected,” said Telles. “It gave me leadership experience, technical skills, and a network of mentors who supported my growth. Seeing One Firefly support this initiative is incredibly meaningful because I know firsthand how life-changing this program can be for students.”

    As part of its sponsorship, One Firefly will participate in the South Florida Regional event, engage with students, and explore additional opportunities to support STEM education in the future. The company remains dedicated to fostering innovation, education, and career development within the technology industry.

    For more information about the FIRST Robotics Competition South Florida Regional, visit www.firstinspires.org/robotics/frc.

    About One Firefly

    One Firefly is an award-winning marketing agency specializing in custom-tailored marketing solutions and other growth solutions like recruiting and hiring technology professionals in residential and commercial markets. The company was founded in 2007 to help businesses in the AV and integration industry grow and succeed through effective branding, digital marketing, and web development. A five-time honoree on the Inc. 5000 list of fastest-growing companies in the U.S., One Firefly is proud to have built a reputation for delivering purposeful marketing solutions to the niche audio-visual space. For more information, visit www.onefirefly.com.

    Source: One Firefly

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  • Faceport Launches Telepresence Helmet and Unveils Facegiving Project to Reunite Families This Thanksgiving

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    Introducing the World’s First Telepresence Helmet and Its Accompanying Robot, Ushering in a New Era of Connection with the Facegiving Project.

    Faceport, Inc., a New York City-based telepresence company, proudly announces the launch of its groundbreaking telepresence platform, designed to bring remote individuals face-to-face with others as if they were physically present.

    At the heart of this innovation is the Faceport Helmet, a device worn by a trusted person that displays a remote individual’s face in real-time. This cutting-edge technology fosters natural, seamless conversations, creating an unparalleled sense of presence for everyone in the wearer’s surroundings.

    The Faceport Robot, an optional docking station for the Faceport Helmet, adds versatility by serving as a dressable, portable upper body with a robotic neck. Ideal for use at tables or counters, it allows the remote user to “look around” and engage in group conversations naturally, offering a unique, lifelike telepresence experience.

    To celebrate this milestone, Faceport is proud to introduce the Facegiving Project, a heartfelt initiative offering free telepresence services to reunite loved ones. This Thanksgiving, select applicants will have the chance to “be present” with their families through Faceport’s groundbreaking technology, bridging physical distances for this cherished holiday. Applications are now open, offering an opportunity for people to bring their loved ones home and share in the joy of being together this Thanksgiving.

    “Our mission at Faceport is to break down the barriers of distance and create meaningful human connections,” said Evan Kaye, Founder and CEO of Faceport. “With the launch of our technology and the Facegiving Project, we’re redefining how technology can unite people, enabling them to share life’s most significant moments, no matter where they are.”

    A limited quantity of both products will be available for purchase starting in early December, with exclusive early access available to anyone who signs up for Faceport’s email list. Deliveries are expected to begin in Spring 2025.

    Source: Faceport, Inc.

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  • A tiny grain of nuclear fuel is pulled from ruined Japanese nuclear plant, in a step toward cleanup

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    TOKYO — A robot that has spent months inside the ruins of a nuclear reactor at the tsunami-hit Fukushima Daiichi plant delivered a tiny sample of melted nuclear fuel on Thursday, in what plant officials said was a step toward beginning the cleanup of hundreds of tons of melted fuel debris.

    The sample, the size of a grain of rice, was placed into a secure container, marking the end of the mission, according to Tokyo Electric Power Company Holdings, which manages the plant. It is being transported to a glove box for size and weight measurements before being sent to outside laboratories for detailed analyses over the coming months.

    Plant chief Akira Ono has said it will provide key data to plan a decommissioning strategy, develop necessary technology and robots and learn how the accident had developed.

    Despite multiple probes in the years since the 2011 disaster that wrecked the plant and forced thousands of nearby residents to leave their homes, much about the site’s highly radioactive interior remains a mystery.

    The sample, the first to be retrieved from inside a reactor, was significantly less radioactive than expected. Officials had been concerned that it might be too radioactive to be safely tested even with heavy protective gear, and set an upper limit for removal out of the reactor. The sample came in well under the limit.

    That’s led some to question whether the robot extracted the nuclear fuel it was looking for from an area in which previous probes have detected much higher levels of radioactive contamination, but TEPCO officials insist they believe the sample is melted fuel.

    The extendable robot, nicknamed Telesco, first began its mission August with a plan for a two-week round trip, after previous missions had been delayed since 2021. But progress was suspended twice due to mishaps — the first involving an assembly error that took nearly three weeks to fix, and the second a camera failure.

    On Oct. 30, it clipped a sample weighting less than 3 grams (.01 ounces) from the surface of a mound of melted fuel debris sitting on the bottom of the primary containment vessel of the Unit 2 reactor, TEPCO said.

    Three days later, the robot returned to an enclosed container, as workers in full hazmat gear slowly pulled it out.

    On Thursday, the gravel, whose radioactivity earlier this week recorded far below the upper limit set for its environmental and health safety, was placed into a safe container for removal out of the compartment.

    The sample return marks the first time the melted fuel is retrieved out of the containment vessel.

    Fukushima Daiichi lost its key cooling systems during a 2011 earthquake and tsunami, causing meltdowns in its three reactors. An estimated 880 tons of fatally radioactive melted fuel remains in them.

    The government and TEPCO have set a 30-to-40-year target to finish the cleanup by 2051, which experts say is overly optimistic and should be updated. Some say it would take for a century or longer.

    No specific plans for the full removal of the fuel debris or its final disposal have been decided.

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  • A robot retrieves the first melted fuel from Fukushima nuclear reactor

    A robot retrieves the first melted fuel from Fukushima nuclear reactor

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    TOKYO — A remote-controlled robot has safely returned with a tiny piece of melted fuel it collected from inside one of three damaged reactors at the tsunami-hit Fukushima Daiichi nuclear power plant for the first time since the 2011 meltdown.

    The Tokyo Electric Power Company Holdings, which manages the plant, said Saturday that the extendable fishing rod-like robot successfully clipped a gravel as big as 5 millimeters (2 inches), the size of a tiny granola bit, from the top surface of a mound of molten fuel debris that sits on the bottom of the No. 2 reactor’s primary containment vessel.

    The “telesco” robot, with its frontal tongs still holding the melted fuel bit, returned to the enclosed container for safe storage after workers in full hazmat gear pulled it out of the containment vessel earlier Saturday.

    The sample return marks the first time the melted fuel is retrieved out of the containment vessel. But the mission is not over until it’s certain that the sample’s radioactivity is below a set standard and safely placed into a container.

    If the radioactivity exceeds the limit, the robot must go back inside the reactor to find another piece. TEPCO officials said they expect the piece is small enough to meet the requirement.

    The mission initially started in August for what was supposed to be a two-week round trip but had been suspended twice due to mishaps.

    First one was the procedural mistake at the beginning that held up the work for nearly three weeks, then the robot’s two cameras designed to transmit views of the target areas for its operators in the remote control room failed. The camera problem required the robot to be pulled out all the way for replacement before the mission resumed Monday.

    Fukushima Daiichi lost its key cooling systems during the 2011 earthquake and tsunami, causing meltdowns in its three reactors. An estimated 880 tons of fatally radioactive molten fuel remains in them, and TEPCO has carried out a number of robotic probes to figure out how to decommission the plant.

    Telesco on Wednesday successfully clipped a piece presumably measuring less than 3 grams (0.1 ounce) from the planned area right underneath the Unit 2 reactor core, from which large amounts of melted fuel fell during the meltdown 13 years ago, TEPCO said.

    Plant chief Akira Ono said only the tiny spec can provide key data to plan decommissioning strategy, develop necessary technology and robots and retroactively learn how the accident had developed.

    The government and TEPCO have set a 30-to-40-year target for the cleanup, which experts say is overly optimistic and should be updated.

    No specific plans for the full removal of the fuel debris or its final disposal have been decided.

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