‘IFLY’ – Indoor Skydiving

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INDOOR SKYDIVING IS REAL FLYING in 'Ifly' state-of-the-art vertical wind tunnels. It is safe for all ages, experience levels and abilities and gives you a indoor sky diving experience for 60 sec. A vertical wind tunnel has fans at the top to draw air through the flight chamber and then push it back down the sides. iFLY Tunnel Systems (formerly SkyVenture) created the vertical wind tunnel industry and has consistently led wind tunnel innovations for 20+ years. It offers ninth generatio...
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Huawei LUTERRA S2 Packs Home Solar and Storage Into One Quiet Unit

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Home batteries are usually a stack of separate boxes: an inverter, one or more battery packs, a controller and a lot of wiring. On November 9, 2026, in Palma, Spain, Huawei announced the LUTERRA S2, an all-in-one residential energy system that folds a hybrid inverter, storage and AI energy management into one stackable unit. The company says it can be installed and commissioned in minutes. This article is based on Huawei's launch announcement. The performance figures below are the company's...
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Claude Designs Three Working Gadgets From Prompt to Prototype

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Designing a circuit board has long been a craft of patience: place the parts, route hundreds of copper tracks, check the factory can build it, then start over when something does not fit. On November 9, 2026, Anthropic published results suggesting an AI model can now handle most of that loop. Working with the board maker Diode Computers, it asked Claude to design three gadgets from short prompts, and all three prototypes ran without any fixes to their circuitry. This article summarizes Anth...
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Ambiq heliaAOT 1.0 Cuts Edge AI Latency Up to 76%

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Most of the AI chatter this year is about giant models in data centers. Yet some of the most practical progress is happening at the opposite end: tiny chips in rings, earbuds and sensors that must run a neural network for days on a sliver of battery. On November 9, 2026, Ambiq Micro announced heliaAOT 1.0, a compiler built for exactly that job. According to Ambiq's press release, it cuts inference latency by up to 76% and energy per inference by up to 72% against LiteRT Micro, a common embe...
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Teradyne Omnyx Edge Tests the Boards Inside Physical AI

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Everyone talks about the AI model inside a robot. Far fewer ask who checks the circuit boards that run it. Teradyne thinks that question gets more urgent as AI leaves the data center, and on November 9, 2026 it introduced Omnyx Edge, an inline board test platform built for exactly that job. The company, which makes automated test equipment and advanced robotics, positions the product as the edge-focused sibling of its Omnyx family, which established its AI board test capability in the data ...
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Berkeley’s Agentic Robotics Lets AI Agents Write Robot Code

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For years, teaching a robot a new job meant one of two slow paths: hand-write the control software, or collect mountains of demonstrations. A UC Berkeley roboticist now says a third path is opening, one where teams of AI agents write the robot's program, rehearse it in simulation and fix it when it fails. Ken Goldberg, a professor of engineering at Berkeley, and Spencer Huang, director of robotics engineering at NVIDIA, call the approach agentic robotics. Berkeley News described it on Novem...
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UMD’s ProtoCall Exosuit Nudges Learners Before They Err

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A beginner reaches for the soy sauce when the recipe wants salt. Most feedback systems tell them afterward. University of Maryland researchers built a wearable AI that acts before the mistake happens, turning the learner's head or pulling back the arm mid-reach. The system, called ProtoCall, was announced on November 9, 2026 and is being presented at the ACM Symposium on User Interface Software and Technology (UIST) in Detroit. In a 16-person study, every form of physical feedback beat p...
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JHU Robot Removes Kidney Tumors From Gel Models on Its Own

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Soft tissue moves, stretches and slides the moment a surgeon cuts it, which is exactly why handing a scalpel to a machine is so hard. A Johns Hopkins team now reports a robot that kept track of those changes and removed tumors from eight lab-made kidneys, making 77 cuts without a single error. The result, announced by the Department of Mechanical Engineering on November 9, 2026, is a research milestone in a controlled setting. The kidneys were synthetic gel models, not patients, and the wor...
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Google TPU 8tx and 8i Max Target Secure, Long-Context AI

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Google has added two more systems to its eighth-generation Tensor Processing Unit family: TPU 8tx, aimed at secure, confidential inference, and TPU 8i Max, built for very large context windows. In a November 9, 2026 post, Amin Vahdat, Google's SVP and Chief Technologist for AI and Infrastructure, said it is the first time the company has introduced four TPU systems in a single year. The announcement matters less for raw speed than for what it says about where AI hardware is heading: special...
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Weizmann Teaches Matter New Moves With DNA Programs

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Most materials do what their composition tells them to do. Weizmann Institute of Science researchers have now built materials that follow a genetic program instead. In two studies announced on November 9, 2026, the lab of Dr. Alexandra Tayar showed that DNA can switch a moving, living-like material on, pace its motion, and even synchronize it across millimeters. The work, published in Nature Materials and Nature Physics, targets a field called active matter, where tiny molecular motors burn...
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Aina Unveils an AI Ring That Predicts What You Need Next

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Most of us still pull out a phone, unlock it and tap through an app to do things we do every day, like calling a ride to work or opening a meeting link. On November 5, 2026, a San Francisco hardware startup called Aina unveiled a different idea: an AI ring with a small screen that tries to guess what you need next and puts it at your fingertip before you ask. Aina was founded in May 2025 by Apoorv Shankar, formerly VP of Hardware at Ultrahuman, and says it spent 15 months in stealth as a hu...
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IBM Puts Its Most Advanced Quantum Computer in Chicago

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Quantum computers usually live in a handful of corporate labs, far from the people who might use them. On November 6, 2026, IBM, the University of Chicago, the State of Illinois and the Illinois Quantum and Microelectronics Park (IQMP) unveiled an IBM Quantum System Two in Chicago, the company's first quantum computer in Illinois and, in IBM's words, its most advanced system available. The machine is now operational at Hyde Park Labs, hosted by the University of Chicago, and is built around...
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HKUST Perovskite Keeps Electron Spin Alive 300x Longer

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Electronics keep asking for more speed at lower energy, and silicon is running out of room. One alternative is to compute with the spin of electrons rather than only their charge. The catch is that spin information normally fades in a flash unless a material is chilled to extreme temperatures. On November 9, 2026, the Hong Kong University of Science and Technology (HKUST) announced a perovskite design that holds spin polarization about 300 times longer at room temperature. The study, led by...
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MIT’s FLEX Lets Robots Read Between the Lines of Commands

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Tell a robot "don't spill on the laptop" and it will dodge the laptop. Ask a person the same thing and they quietly understand that phones, tablets and anything with a battery are also off limits. On November 9, 2026, MIT News described a system that tries to close that gap: FLEX, a pipeline from MIT and New York University researchers that lets robots read meaning beyond the literal words of a correction. The work is slated for presentation at the Conference on Robot Learning this month. I...
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ByteDance Seedream 5.5 Targets 100-Round Edits and Clear Text

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Most AI image tools are good at the first picture and worse at the fiftieth edit. Small errors pile up, colors drift and details soften. On November 9, 2026, ByteDance's Seed team introduced Seedream 5.5, an image creation model it says is built to hold up across 100 rounds of editing. The announcement frames the model around professional production. In the team's words, what matters is whether a model can deliver usable results on deadline and within budget, not just striking demos. Seedre...
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Rutgers Study: Iron-Nickel Catalyst Keeps Zinc-Air Cells Running

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Zinc-air batteries are the quiet workhorses inside hearing aids: cheap, compact and, for the most part, thrown away after one use. A research team that includes a Rutgers professor now reports a way to make a rechargeable version run steadily for 1,000 hours, without leaning on platinum-style precious metals. The Rutgers Climate and Energy Institute summarized the work on November 4, 2026. The study appeared in the journal Advanced Energy Materials. Tewodros Asefa, an RCEI affiliate and pro...
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HKU Builds a Megawatt Power Module From Gallium Oxide

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Every phone charger, electric car and power grid relies on semiconductor switches that control electricity. For decades those switches have been made of silicon, and silicon is nearing its physical limits. Engineers at The University of Hong Kong (HKU) now report a module built on a newer material, gallium oxide, that switched 1,000 volts and 1,000 amperes, a peak of one megawatt. According to HKU's announcement, it is the first time a module made from this class of material has reached tha...
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MIT’s WorldParticle Simulates Sand, Fluids and Proteins in One Model

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Ask a scientist to simulate a splash of water, a collapsing sand dune and a folding protein, and the honest answer is that those are three different software projects. Each phenomenon has its own governing equations, and each simulator is hand-built around them. A team from MIT and the University of British Columbia (UBC) now says one AI system can handle all three. According to MIT News, the system is called WorldParticle, and its authors describe their goal as a "GPT moment for simulation...
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Viridien and AMESA Team Up on HPC for Enterprise AI Agents

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Training an AI agent to run part of a factory or supply chain takes serious computing power, and most companies would rather not build a supercomputer to get it. On November 5, 2026, Viridien and AMESA announced a partnership aimed at exactly that gap. Viridien, a Paris-based advanced technology and HPC company, will supply the high-performance computing infrastructure behind AMESA Agent Cloud. AMESA is an enterprise AI platform for what it calls operational autonomy. What was announced ...
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Sydney’s Treellis Helps People Learn While Co-Creating With AI

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Type a few words, get a finished 3D design. Modern AI makes that easy, and it also hides how the result was made. A University of Sydney team says that is a problem for learning, and on November 4, 2026 it announced a tool built to fix it. The system, called Treellis, was developed in the university's Faculty of Engineering with the University of Cambridge and Singapore Management University. The paper describing it won a Best Paper Award at ACM UIST 2026, the Symposium on User Interface So...
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Octopus, CATL and Ampace Plan Smarter, Cheaper Home Batteries

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Home batteries are quietly changing from boxes on a garage wall into connected devices that decide when to buy, store and sell electricity. On November 3, 2026, one of Europe's best-known energy retailers announced a partnership meant to speed that shift along. Octopus Energy and Xiamen Ampace Technology Limited signed a Memorandum of Understanding (MoU) to explore next-generation smart home energy storage that pairs high-performance hardware directly with intelligent software, according to...
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WOTA Unit Recycles Home Water for Water-Scarce Caribbean Islands

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Imagine a household that takes 100 showers' worth of water out of its own wastewater in a single month. That is roughly what a Japanese company says happened in a demonstration home in Antigua and Barbuda, and it is now using the result to argue for a different way to supply water on islands. On November 3, 2026, WOTA, a Tokyo-based water technology company and Earthshot Prize finalist, issued a news release timed to the Commonwealth Business Forum 2026, held November 2 to 4. In it, WOTA pr...
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Snowflake CoCo Brings Governed AI Into Excel and Google Sheets

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Spreadsheets have been the main way people work with data for more than 40 years, and they are also where governed data tends to escape. Someone exports a CSV, emails it, and soon several versions of the truth are circulating. Snowflake's answer, announced in early November 2026, is to bring its AI agent to the spreadsheet itself: Snowflake CoCo for Microsoft Excel and Google Sheets, now in public preview. Snowflake's release notes date the preview to November 3, and its product blog follow...
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PhoenixAI’s Contextbase Gives AI Agents One Place for Context

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An AI agent is only as good as what it knows when it acts. It needs to know what the data means, what the business has learned before, what happened on its last run and whether that run worked. In most companies today, those pieces live in different tools. On November 4, 2026, PhoenixAI launched a product that tries to put them in one place: Contextbase. PhoenixAI, the original creator of the StarRocks open source database and formerly known as CelerData, unveiled Contextbase at its NEXT QU...
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MIT’s UQ-DAAAM Helps Robots Fix Their Own Wrong Memories

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Picture a robot sent to fetch a wall-mounted defibrillator. If its stored memory wrongly lists that object as a fire extinguisher, it may never find the device. That example opens an MIT News report, published November 5, 2026, on a new system that lets a robot notice when its own memory might be wrong and repair it. The system is called UQ-DAAAM, short for Uncertainty Quantification for Describe Anything, Anywhere, at Any Moment. It was developed by researchers at MIT, led by associate pro...
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AURORA Puts AI Co-Scientists in Cancer Grand Challenges Labs

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Science has a bottleneck that has little to do with lab benches: there is simply too much published evidence and too much data for any research team to read, compare and connect by hand. On November 6, 2026, Cancer Research UK announced that three of its Cancer Grand Challenges teams will begin a rigorous test of whether AI "co-scientists" can help close that gap. The test is the next stage of Project AURORA, an initiative the charity describes as an £8 million project. A team at Harvard Un...
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Tiber’s MD Tutor Brings AI One-on-One Tutoring to Campuses

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Article details Primary domain: Education & Workforce Development (Personalized Learning)Secondary domain: Artificial Intelligence & Machine Learning (Multimodal AI)Article type: Product & Vendor InnovationTechnology: Tiber Tutor AI tutoring platformInnovation maturity: Early AdoptionMission: EducationBusiness impact: Extends individualized academic support beyond the classroom without adding instructor hoursAudience: Education, Business/Leadership, ITPublication date: November 2026...
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CMU’s ESTIMATA-EX Uses Phone Photos to Estimate Surgical Blood Loss

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In many operating rooms, one of the most important numbers is still an educated guess: how much blood has the patient lost? Chiang Mai University in Thailand says it has built an AI system to replace that guess with a measurement. In a university announcement dated 2 November 2026, the team introduced ESTIMATA-EX, which estimates blood loss and counts blood-soaked surgical materials from photos taken on a smartphone or tablet. This article covers the announcement as news and is not medical ...
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Newcastle and Ufonia Trial Dora, an Empathetic AI Phone Assistant

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Picture a follow-up phone call that never gets rushed, never runs late and never depends on whether a clinic has enough staff that week. That is the idea behind Dora Care, a generative AI assistant now being trialled in the UK's National Health Service. According to a Newcastle University press release published on 6 November 2026, the assistant holds spoken telephone consultations with patients who live with a long-term illness, helping clinicians keep track of how they are doing. This art...
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MIT’s CheMeleon Predicts Molecule Behavior From Scant Data

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Finding a new drug or material is mostly an exercise in elimination: chemists synthesize and test enormous numbers of molecules to find the few that behave the way they need. A machine-learning model from MIT called CheMeleon aims to shrink that pile by predicting molecular properties from very little experimental data. According to MIT News (November 6, 2026), the work was reported in the Journal of Chemical Information and Modeling and comes from the group of chemical engineering professor Wi...
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