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Jaguar Land Rover cyberattack cost the company over $220 million
Nenaleťte na marketingové triky výrobců aneb které specifikace u telefonů mají jen pramalou váhu
První levné elektroauto s motorem v každém kole. Čínský Donfeng slibuje samé výhody
Recenze filmu Běžící muž. Zábavná akční jízda, která by potřebovala i novější mozek, ne jen svaly
Zmutovaná varianta chřipkového viru H3N2 může způsobit nejhorší sezónu za posledních deset let
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Five Plead Guilty in U.S. for Helping North Korean IT Workers Infiltrate 136 Companies
Five Plead Guilty in U.S. for Helping North Korean IT Workers Infiltrate 136 Companies
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This Week’s Awesome Tech Stories From Around the Web (Through November 15)
Fei-Fei LI’s World Labs Speeds Up the World Model Race With Marble, Its First Commercial ProductRebecca Bellan | TechCrunch
“If large language models can teach machines to read and write, Li hopes systems like Marble can teach them to see and build. She says the ability to understand how things exist and interact in three-dimensional spaces can eventually help machines make breakthroughs beyond gaming and robotics, and even into science and medicine.”
ComputingIBM Has Unveiled Two Unprecedentedly Complex Quantum ComputersKarmela Padavic-Callaghan | New Scientist ($)
“If large language models can teach machines to read and write, Li hopes systems like Marble can teach them to see and build. She says the ability to understand how things exist and interact in three-dimensional spaces can eventually help machines make breakthroughs beyond gaming and robotics, and even into science and medicine.”
SpaceBlue Origin Sticks First New Glenn Rocket Landing and Launches NASA SpacecraftSean O’Kane | TechCrunch
“Jeff Bezos’ Blue Origin has landed the booster of its New Glenn mega-rocket on a drone ship in the Atlantic Ocean on just its second attempt—making it the second company to perform such a feat, following Elon Musk’s SpaceX. It’s an accomplishment that will help the new rocket system become an option to send larger payloads to space, the moon, and beyond.”
TechWhen AI Hype Meets AI Reality: A Reckoning in 6 ChartsChristopher Mims | The Wall Street Journal ($)
“The takeaway: The projections of AI companies and their partners don’t reflect shortages of equipment. At the same time, these projections assume a gargantuan market for AI-powered products and services. Analysts can’t agree whether that market will materialize as quickly as promised.”
ComputingMIT’s Injectable Brain Chips Could Treat Disease Without SurgeryAbhimanyu Ghoshal | New Atlas
“[The technology] involves sub-cellular sized wireless electronic devices (SWED) that can be delivered to your brain via a jab in the arm. Once these tiny chips have been injected, they can autonomously implant themselves on target regions in the brain and power themselves as they deliver electrical stimulation to the affected areas.”
ComputingTwo Visions for the Future of AR Smart GlassesAlfred Poor | IEEE Spectrum
“Some tech companies are betting that today’s smart glasses will be the perfect interface for delivering AI-supported information and other notifications. The other possibility is that smart glasses will replace bulky computer screens, acting instead as a private and portable monitor. But the companies pursuing these two approaches don’t yet know which choice consumers will make or what applications they really want.”
RoboticsWaymo to Roll Out Driverless Taxis on Highways in Three US CitiesRafe Rosner-Uddin, Financial Times | Ars Technica
“Waymo’s rollout on highways marks a significant step for the robotaxi operator as it aims to encourage the mass adoption of driverless vehicles. It is the first time a company will carry out paid driverless services on the highway without a driver behind the wheel.”
BiotechnologyScientists Grow More Hopeful About Ending a Global Organ ShortageRoni Caryn Rabin | The New York Times ($)
“In a modern glass complex in Geneva last month, hundreds of scientists from around the world gathered to share data, review cases—and revel in some astonishing progress. Their work was once considered the stuff of science fiction: so-called xenotransplantation, the use of animal organs to replace failing kidneys, hearts, and livers in humans.”
FutureThese Technologies Could Help Put a Stop to Animal TestingJessica Hamzelou | MIT Technology Review
“Earlier this week, the UK’s science minister announced an ambitious plan: to phase out animal testing. …Animal welfare groups have been campaigning for commitments like these for decades. But a lack of alternatives has made it difficult to put a stop to animal testing. Advances in medical science and biotechnology are changing that.”
TechThe Complicated Reality of 3D Printed ProstheticsBritt H. Young | IEEE Spectrum
“By the mid-2010s, 3D-printing was in the ‘Peak of Inflated Expectations’ phase, and prosthetics was no exception. …Erenstone says [despite struggles to lower costs] the technology is finally getting closer to achieving some of the things everyone imagined was possible ten years ago.”
The post This Week’s Awesome Tech Stories From Around the Web (Through November 15) appeared first on SingularityHub.
Bizarní mobilní klávesnice mění klávesy za joysticky. Naučit se s ní pracovat trvá tři týdny
Roborock rozjel největší slevovou akci roku. Při Black Friday se dá na robotických vysavačích ušetřit až 33 %
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Google is unleashing AI shoppers on enterprises — is your infrastructure ready?
AI shopping assistants, rather than elves, may be the ones bustling behind the scenes this holiday season.
At least, Google seems to be pushing in that direction: The tech giant has released a “major AI shopping update” in Gemini that can trigger AI agents to call stores, actively track pricing, and even purchase items on their own.
This signals a new shopping paradigm, but it may also tax enterprise systems and practices.
“Google’s update moves retail closer to intent-based shopping, where the experience feels less like hunting and more like being guided to the right answer,” noted Julie Geller, a principal research director at Info-Tech Research Group.
Shoppers can even have AI agents call storesAs a natural extension of its AI-powered capabilities, Google’s AI Mode can now process shopping questions in native language. That is, shoppers can describe what they’re looking for and receive an “intelligently organized response,” with images, pricing, reviews, and inventory info.
Responses are tailored and formatted to respond to user questions and needs, Google explains. For instance, a shopper looking for “cozy sweaters for happy hour in warm autumn colors” will receive a list of shoppable images; another on the fence about moisturizers, meanwhile, may get a table with side-by-side comparisons based on product reviews.
“Buyers will be able to get very personal recommendations, and aggregate vendors much like they do with Google already,” noted Jason Andersen, VP and principal analyst at Moor Insights & Strategy.
Going a step further, users can now shop right inside Gemini and, when searching for products “near me” in AI mode, can access a “let Google call” button. As they browse, Gemini will prompt them for more specifics, and on the backend, call nearby stores to determine availability, price, and information on any special promos. The shopper will then receive an email or text with inventory information on Google’s aggregate Shopping Graph. This features 50 billion product listings, two billion of which are updated every hour, according to Google.
These capabilities are currently only available to US-based users. Google’s Duplex technology underpins these new features, along with a “big Gemini model upgrade” to help the AI identify the best stores to call, suggest follow-up questions, and summarize key conversation takeaways. “Let Google call” rolled out in search this week in the US, in categories including toys, health and beauty, and electronics.
Rounding out the shopping experience, Google is now supporting full-on agentic checkouts. Shoppers can keep tabs on certain items via a price-tracking feature — size, color, amount they want to spend — and will receive a notification when the product comes into their price range.
Then, at least with some eligible merchants, shoppers can opt to have Google purchase the item via Google Pay. Google is rolling out the capability initially with a number of US merchants, including Wayfair, Chewy, Quince, and some Shopify retailers.
Google emphasizes that AI will always ask for permission before buying anything, and will only pay after a human approves the price and shipping details.
It says these new features are “giving merchants a new way to drive foot traffic,” while also freeing up shoppers’ time.
Enterprises should rethink infrastructureOf course, this isn’t the first time we’ve seen agents integrated into the shopping experience; Walmart, Saks Fifth Avenue, Amazon, and others have been experimenting with AI-powered shopping capabilities.
However AI agents manifest, though, experts urge enterprises to rethink their infrastructure.
Google’s new agentic shopping features can strain enterprise e-commerce systems by “collapsing the discovery and checkout journey into a rapid chain of machine actions that all hit at once,” noted Info-Tech’s Geller.
What used to unfold step by step now fires almost simultaneously. When an agent checks pricing, inventory, reviews, and delivery options in a few seconds, any messy data or slow decision point shows up immediately, she pointed out.
“Most enterprise systems were built around human browsing patterns, so this creates pressure on the parts of the stack that aren’t clean or are loosely connected,” said Geller.
The real work for enterprises is making sure the core pieces “don’t trip over one another,” she said. This requires consistent product data, category structures that make sense, and decision systems that can operate “without pulling everything else down with them.”
“Guardrails around how quickly an agent can hit different endpoints matter too, because the traffic no longer looks anything like traditional browsing,” said Geller.
Operators should keep an eye out for unusual patterns and step in early. One session triggering a sudden cluster of requests, or disagreement among availability and delivery systems are signs that the system is “being pushed in ways it wasn’t designed for,” said Geller.
However, there is a positive side, she noted: Pressure from AI agents forces companies to clean up the fundamentals, and shoppers will “feel that right away.”
“Information is clearer, options feel more aligned, and the small contradictions that usually frustrate people start to fall away,” said Geller.
There has been some “nice uptake” of these types of agentic features for standalone e-commerce, such as Amazon’s Rufus, noted Moor’s Andersen. “But Google takes it across many sites,” he said.
Google is abstracting the agent from the e-commerce site into a graph, which shouldn’t (at least in theory) impact site performance or scale. But Andersen questioned how often the graph will update and whether it could potentially create new or different pricing incentives.
For example, will Google share with sellers (or their competition) that a certain number of customers have asked to be flagged when their item drops from $120 to $99 MSRP? “That would be incredibly valuable information,” said Andersen.
Further, seller behavior could change based on Google’s graph updates, resulting in more or fewer flash sales. It also creates challenges for distribution models.
“If I have several certified sellers, will there be a race to the bottom on my product, where an agent can pit different routes to market against each other,” Andersen questioned, “and how will Google prioritize the sellers?”
At this early stage, it’s difficult to know whether vendors will have the ability to opt out of the shopping graph, or if adoption will be slow enough so they can adapt as this new buying paradigm develops, Andersen noted.
Overall, he said, “this looks great for buyers, but for sellers, it could potentially be very disruptive.”
Událo se v týdnu 46/2025
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