Tag Archives: Artificial Intelligence

Boya Notra Neo AI Note Taker Has 3 Modes, Never Asks Which One to Use

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Conversations rarely stay in one place. A lecture bleeds into a study session over Bluetooth earbuds, and a work call turns into a video meeting minutes later, details slipping through in the shuffle. The Boya Notra Neo, the brand’s second-generation AI note taker, was built around this. It senses whether you’re in a classroom, on a call, or listening through headphones, and adjusts how it records without you touching anything.

That kind of adaptability is the real design story here. Notra Neo runs on three recording modes, Ambient, Phone Call, and Bluetooth, switching between them automatically based on how you’re using the device. Most multi-mode gadgets hand that decision back to the user, which defeats the purpose of having options in the first place. Boya’s approach removes the extra step, letting the device read the room instead.

Designer: BOYA

Ambient Recording covers the face-to-face moments, lectures, meetings, interviews, and group discussions where the microphone needs to pick up a whole room, not just the person holding the device. Boya built in 16 feet (5m) of clear 360-degree pickup, enough range to sit at the back of a seminar hall or the far end of a conference table and still catch every word clearly.

Phone Call Recording does what it says, capturing calls without any extra setup. Bluetooth Recording is the more interesting mode, catching audio that flows through connected devices rather than through open air. That covers online classes, virtual meetings, and video interviews, the kind of conversations that happen entirely through a headset. It’s the mode that acknowledges how much communication now happens through a pair of earbuds instead of a room.

Once something’s recorded, Notra Neo transcribes it into text across more than 140 languages and dialects, tagging who said what. That speaker labeling matters more than it sounds; anyone who’s tried transcribing a group discussion knows how quickly it turns into a wall of unattributed text. For multilingual classrooms or international teams, that same feature means reviewing a conversation doesn’t depend on catching every word the first time.

Transcripts are just the raw material, though. Notra Neo’s AI turns those recordings into summaries, to-do lists, mind maps, and insights, plus more than 60 templates suited to different kinds of conversations. A lecture becomes a set of revision notes instead of hours of audio to relisten to. A meeting turns into a list of decisions and follow-ups. A customer call becomes something worth referencing later.

There’s also AI Search, letting you ask for specific information instead of scrubbing through hours of audio, useful for pulling up a decision from a meeting weeks back or a quote from an old interview. Everything lives inside the Boya OS app and web platform, staying synced across devices, with exports available in multiple formats: audio, text, and mind maps, so content moves easily into whatever workflow someone already uses.

None of this works if the hardware can’t keep up day to day. Notra Neo offers up to 20 hours of continuous recording and 8GB of built-in storage, enough to sit through a full semester of lectures or a multi-day conference without hunting for an outlet. The body stays compact enough to slip into a pocket or a pencil case, easy to carry without a second thought.

What stands out about the Notra Neo isn’t a single feature but the decision to build a recorder around actual habits instead of asking people to change theirs. Boya will officially bring the device to IFA 2026 in Berlin this September, following a second-generation approach that trims complexity rather than adding more of it. Fewer settings to manage, more attention left for the conversation, which was the point all along.

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An AI Gave Me A Full-Body Massage: Hands-on with DaVinci AI Pro Massage Chair at IFA 2026

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Somewhere out there is a bingo card of jobs AI would come for, and I guarantee nobody had masseuse on it. AI has already eaten its way through a scary chunk of the low-level workforce, copywriting, junior coding, customer support scripts, even the guy behind the wheel in some cities now. But there was always this quiet assumption that a good deep tissue rubdown needed actual human hands, actual human judgment, someone who could feel where the knot was and adjust on the fly. That felt safe. Untouchable, even. Then I walked into Bodyfriend’s booth at IFA 2026, sat down in a chair, and casually talked my way into the best massage of the show. Apparently the human-to-human touch job just got automated too.

The chair was Bodyfriend’s DaVinci AI, running the same generative AI Bodyfriend had just unleashed in Seoul days before IFA, badged DaVinci AI Pro. Instead of picking from a shelf of presets, it listens to plain language and builds a massage from scratch, mixing 134 basic blocks across body zones, pressure, and duration. Bodyfriend puts the theoretical combinations in the trillions, and having felt the difference, I believe the math. A PPG sensor in the hand massager also reads heart rate, heart rate variability, and blood oxygen in real time, so the chair responds to your actual state, not just your words. I did not know any of this walking in. I just knew I was tired, sore, and willing to talk to a chair like it owed me something.

Designer: Bodyfriend

I had clocked around 15,000 steps that day, running on trade show coffee and basically nothing else, and my feet and shoulders had reached the point of open rebellion. I sat down, and instead of hunting for a remote, I just talked to the tablet mounted on the armrest. “Hey Buddy,” I said, “give me a strong foot massage, and also help relieve tension in my neck and shoulders.” Within about a minute it had built something specifically for that, working my feet, shoulders, and spine while leaving my hands completely alone, because I never asked for them. When I got a flicker of FOMO and asked it to include a hand massage too, it recalibrated on the spot rather than restarting from zero. Talking to it felt closer to briefing a person than operating a machine.

The DaVinci name carries some real design pedigree behind it. Bodyfriend’s earlier DaVinci models were developed with Italdesign, the Turin studio behind decades of concept and production cars for names like Lamborghini and Bugatti, and that automotive language shows up in the chair’s sculpted shell and the confidence of its proportions. This year’s leap is less about the shell and entirely about what is happening inside it. Where the original DaVinci used bioelectrical impedance analysis to profile your body composition, the AI Pro generation swaps that for conversational intelligence, a shift from measuring you passively to actually listening to you. It is the difference between a chair that studies your body and one that takes instructions from it.

Bodyfriend’s booth this year also carried the 733, a wearable healthcare robot that took home an IFA Innovation Award honor for independently guiding your arms and legs through stretching and standing assistance, proof this is a company betting hard on robotics well beyond the living room recliner. Against that backdrop, DaVinci AI reads less like a gimmick and more like the company’s flagship idea about where home wellness tech goes next. We covered Bodyfriend’s Quantum robotic chair at IFA 2024 and called it a bodygasm in leather and Bang & Olufsen sound. DaVinci AI trades some of that theater for something quieter and arguably bigger: a chair that finally understands what you are asking for, in your own words, on the first try.

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This $99 Clip-On AI Remembers Everything You’ll Ever Forget

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If you live a life full of meetings and conversations, there’s a good chance you’ve forgotten something important that was said to you. Sure, you can take notes or jot things down as you go, but not everyone likes doing that, and not everyone has the time to stop and sort through everything they hear during a busy day.

The SwitchBot AI MindClip wants to do the heavy lifting for you by creating a “second brain.” It’s a lightweight, clip-on wearable AI gadget that can record conversations and meetings while also letting you add voice notes whenever inspiration strikes. From there, it automatically transcribes, summarizes, and organizes everything so the information ends up exactly where you need it, whether that’s your calendar, your to-do list, or a searchable archive you can revisit later.

Designer: SwitchBot

Plenty of recording devices already exist, mostly built to capture meetings and interviews. But the MindClip does more than just dump everything into one long audio file. It sorts your recordings into categories like Timeline, Priority, Daily Memory, Weekly Summary, and To-Do Overview. You can even sync it with your calendar and reminder apps, turning those “overheard” details into real, actionable schedules and tasks instead of letting them slip away.

As for the design itself, the AI MindClip is a small, button-like, square-shaped clip that looks more like a tiny badge or pin than an actual recorder. It’s built to blend into whatever you’re wearing rather than stand out, which makes it easy to put on every day and take just about anywhere. The device is made from aluminum alloy and ABS plastic, giving it a premium feel while keeping it both durable and lightweight at just 16.8 grams. It comes with a clip-back mount that easily attaches to collars, jackets, bag straps, and lanyards. It’s also sweat-resistant and splash-resistant, so it’s built to handle real-world scenarios like commuting, phone calls, meetings, and everyday wear without missing a beat.

This tiny device is packed with AI-powered features, including automatic speech-to-text transcription, AI summaries built from a variety of templates, automatic to-do generation, and weekly recap summaries. You can even ask it questions about past recorded audio using its “AskAI” conversational search feature, so instead of scrolling through old notes, you can simply ask what was said and get a straight answer.

Of course, a device like this naturally raises questions about privacy and legality. SwitchBot has built in a number of in-app privacy and data management controls, along with end-to-end encryption for both pairing and file transfer. Even so, there will likely be ongoing concerns given the device’s “always recording” nature. SwitchBot will need to make it clear that these features won’t create problems for the wearer or for the people around them, especially since many U.S. states require everyone in a conversation to consent to being recorded.

Personally, I still prefer pen and paper, or typing things out on a keyboard, when it comes to note-taking and remembering things I need to act on later. But no method is foolproof, and there are definitely moments, like a packed workday or a hectic family schedule, when a tool like this could genuinely come in handy.

At the end of the day, the SwitchBot AI MindClip is an interesting bet on where note-taking might be headed. Instead of asking people to change their habits by pulling out a phone or opening an app mid-conversation, it simply rides along, quietly listening and organizing so nothing important gets lost in the shuffle. Whether it becomes a genuine everyday essential or just another gadget that ends up in a drawer will likely come down to how well the AI features hold up in daily use and whether people feel comfortable wearing something that’s always listening.

Still, for busy professionals, parents juggling a dozen things at once, students sitting through long lectures, or anyone who’s ever walked out of a meeting thinking, “wait, what did we just agree to?”, the MindClip is at least trying to solve a problem most of us know all too well. Sometimes the best kind of tech isn’t flashy. It just quietly helps you remember.

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Reolink’s OMVI 2i Ultra Wireless Security Camera can look in two directions at once: Hands-on at IFA 2026

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Picture a courier walking up your driveway while someone else quietly tries your side gate. A normal pan-tilt camera picks one of them and forgets the other exists. Reolink’s OMVI 2i Ultra handles it by carrying two cameras at once: a fixed 4K wide lens on top that never stops watching the full scene, and a 5MP pan-tilt ball below that spins 355 degrees to lock onto whatever the wide lens flags. Both feeds record at the same time, and you can tap anywhere on the wide view to slew the turret straight to that spot. It debuted at IFA 2026 in Berlin, ships late October, and costs between $200 and $250.

A detachable 10,000mAh pack claims six months per charge, and the 6W SolarEase panel says it needs about thirty minutes of daily sun to stay topped up, against the one to two hours Reolink quotes for rivals like Eufy’s S340 and the Tapo C675D. Those are Reolink’s own numbers, so hold them loosely until somebody leaves one on a north-facing wall through a British winter. The rest is easier to verify. Wi-Fi 6 across both bands, up to 512GB of local microSD with no subscription attached, colour night vision from twin spotlights, a siren, and IP65 sealing. At a kilogram with the bracket, it is a proper lump of hardware rather than something you tuck on a shelf.

Designer: Reolink

Pan-tilt cameras have quietly lied to buyers since the format existed. Sell someone a camera that turns to follow motion and you have also sold them a camera that stops watching everywhere else the instant it does. Reolink’s fix is embarrassingly simple once you see it. Stop asking one lens to be both the guard and the chaser, and give it a second lens that only guards. The wide 4K unit up top runs at 110 degrees horizontal and never rotates, so the scene it opened on is the scene it keeps recording no matter where the PT ball below it wanders off to. Reolink calls this SyncTrack, but the actual idea is closer to division of labour than any clever algorithm. One camera commits to context, the other commits to pursuit, and neither has to compromise for the sake of the other.

This is the third time Reolink has built this exact idea in 2026, and each version has been a slightly different argument about what matters most. The X16 landed at CES in January as a 24MP full metal flagship with 16x optical zoom, but it needs an ethernet run to function, which puts a hard ceiling on where it can live. The 3i followed in June with PoE and wired Wi-Fi options at $319.99, still asking for a nearby outlet even in its most flexible form. The 2i Ultra drops the combined resolution to 8MP plus 5MP and, in exchange, cuts the cord entirely. The trade-off is the clever bit, because being able to pop a camera on a fence or a backyard without worrying about wiring is much more convenient than haggling over megapixels.

A squared-off dual-lens head sits above a separate motorized ball, with a solar panel tilting on its own hinge overhead, and the whole assembly weighs a full kilogram once the bracket is attached. Compare that to Reolink’s own Argus MagiCam, a 108-gram cube you stick to a fridge with a magnet, and the difference in ambition is obvious at a glance. This is not a camera trying to disappear into a bookshelf. It reads more like a small piece of maritime equipment bolted under an eave, and that visible mechanical presence is doing some of the deterrence work before the siren ever gets involved.

That dual-lens design is quite literally baked into the name. OMVI reads like omni-vision, a camera built to watch in every direction at once instead of picking a lane. Arlo’s Ultra flagship still wants a wall plug or a proprietary base station to unlock its best tricks, and Nest’s outdoor cameras have quietly stayed wired-first for years now, which makes the 2i Ultra’s fully wire-free build feel like it is actually catching up to how people install things rather than how manufacturers wish they would. No drilled conduit, no hub tucked in a closet, just a battery, a solar panel, and a spot on the fence you actually wanted the camera to go.

That is the real flex against the flagships twice its price. You are not paying for a wall socket you have to plan your whole install around, and you are not paying for a bulky base station eating an outlet indoors either. You get two lenses doing genuinely different jobs, a battery that outlasts most of the category on paper, and a name that finally means something instead of just sounding techy. At $200 to $250, the OMVI 2i Ultra is the version of omni-vision security that shows up ready to mount anywhere the moment you take it out of the box.

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Cloud AI Means Someone Else Has Your Data, MINISFORUM Fixes That

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Running a serious AI model at home usually means renting someone else’s cloud server and hoping your data stays private along the way. MINISFORUM built its newest pairing to remove that trade-off entirely. The AI Agent NAS N5 MAX-P495 and AI Mini Workstation MS-S1 MAX-P495 combine for up to 131 TOPS of AI compute performance, 192GB of memory at 8533 MT/s, and up to 160GB of graphics memory, enough headroom to keep the heavy lifting on a desk instead of in a data center.

The N5 MAX-P495 takes the shape of a compact black cube, but what it holds inside matters more than how it looks sitting on a shelf. It combines powerful AI computing with up to 200TB of local storage, enabling users to store, manage, and process large volumes of data within a single AI platform. That capacity turns a spare corner of an office into a private archive large enough to hold years of project files, footage, or research without ever touching a third-party server.

Designer: MINISFORUM

Storage alone doesn’t make an AI system useful, so MINISFORUM built the N5 to run the AI itself. From RAG knowledge bases and AI models to embeddings, databases, and AI agents such as OpenClaw and Hermes, N5 MAX-P495 keeps data and AI workloads local, enabling continuous and private AI operations. A small business could lean on that setup to run its own customer-support agent without routing conversations through an outside company’s servers.

That local-first approach extends to how the N5 fits into a larger setup. Designed to work alongside AI computing devices, N5 MAX-P495 serves as a centralized backend for data, models, knowledge, and long-running AI workloads, bringing storage and computing together at the edge. It’s less a standalone gadget and more a quiet engine room, built to keep working in the background while something faster handles the parts people actually interact with.

That faster half of the pairing is the MS-S1 MAX-P495, a compact tower wrapped in a ventilated, diamond-textured front panel that looks more like a piece of desk sculpture than a workstation. It delivers powerful local AI computing for demanding model inference, AI development, and computationally intensive workloads, built for intensive local AI tasks, engineering, and workflows in an ultra-compact footprint. Developers get workstation-class muscle without giving up desk space to a full tower case.

Speed matters just as much as raw power for certain jobs, and MINISFORUM designed the MS-S1 with that in mind. Designed for low-latency AI workloads, MS-S1 MAX-P495 enables responsive local inference for AI agents, computer vision, generative AI, and other real-time applications. A security camera system or a live creative tool built on generative AI benefits directly from that kind of immediate response instead of waiting on a round trip to the cloud.

Connectivity rounds out the workstation’s role in a larger setup. With extensive connectivity and expansion capabilities, MS-S1 MAX-P495 serves as a powerful AI compute frontend, supporting models, applications, and connected devices across flexible edge AI environments. That flexibility means the same box can sit at the center of a home lab or plug into a small studio’s existing hardware without forcing a rebuild.

Paired together, the two devices split the work the way a good team would. The MS-S1 MAX-P495 and N5 MAX-P495 form a complete edge AI computing system, delivering high-performance AI compute at the frontend while integrating compute, massive storage, data, and AI knowledge at the backend, providing a powerful foundation for real-time inference, persistent AI workloads, and scalable local AI applications. It’s a compact answer to a question more households and small teams are starting to ask: whether AI still needs to live somewhere else at all.

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Plaud One Hands-On at IFA 2026: AI Earbuds That Transcribe Meetings, Then Draft Emails And Decks For You

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For three years, Plaud made very good tape recorders with a PhD. You pressed a button, it captured a meeting, and mere minutes later a summary showed up. The Plaud One, launched at IFA 2026 for €249.90, reverses that arrow. Its charging case now holds four beamforming mics, a speaker, an agent button and a built in eSIM, so it stays online without a phone nearby. Hold the agent button and the AI talks back, asks what you meant, then builds the deck or drafts the email while you get on with your day.

That flip from recording to doing needed hardware nobody had built yet. Not a pendant, not a pin, not another app crammed onto a phone you were already staring at. Plaud built a palm sized aluminum box with a fluted lid that looks like a Rimowa suitcase went through a shrink ray, sitting on a table, listening across a room, and talking back like a colleague who never needs coffee. The Explorer Edition opens for pre order now, capped at 2,000 units worldwide, with deliveries landing in Q4. A public version follows in 2027, once Plaud has watched two thousand early adopters put the thing through its paces.

Designer: Plaud

The original Plaud Note clipped onto a phone and did one job, listen to a meeting and hand back a transcript once it ended. The Note Pro added a screen and better mics. The NotePin S shrank the format onto a lanyard clip. Every generation stayed reactive by design, a smart recorder waiting for you to press stop before it did anything useful. That business built Plaud’s 2.5 million user base and reportedly crossed $100 million in annual software revenue by June, which is exactly the kind of runway that lets a company gamble on reinventing its own hardware category from scratch.

Vertical fluting runs down the case’s aluminum lid, the same visual trick Rimowa has stamped into cabin luggage since the 1950s, giving a 62 gram object a sense of density it has no right to carry. Flip it open and the earbuds sit half in ear, silver capped, in a tray that reads closer to a jewelry box than a charging dock. A speaker grille, a record button and a separate agent button line the case’s edge, the three controls that turn a charger into a device you actually talk to. None of it apes a phone. It reads like furniture for a desk, not gear for a pocket.

Earlier Plaud devices leaned on your phone for both processing and connectivity, so the intelligence always sat one hop away from the microphone. Plaud One’s case carries its own 4G LTE connection through a built in eSIM, closing that gap entirely. Capture, transcription and agent response now run in one box, independent of any other screen in your life. Leave your phone in a bag, walk into a cafe, and the case still records the table’s conversation, answers a question out loud through its speaker, or fires off a follow up email on command. Every pendant and pin that came before this quietly depended on a phone doing the real work behind the scenes. Plaud One is the first in the category that genuinely does not.

Plaud Agent drafts a follow up email the moment a client call ends. Feed it a meeting and it builds a slide deck while you sit through your next call, then drops the finished file straight into Notion with zero copy pasting. The platform connects to Gmail, Google Workspace, Microsoft Teams, Slack and Notion today, with more integrations promised as the software matures. Set it loose on a standing task, a monthly competitor scan for instance, and it runs quietly in the background, waiting with a finished report the next time you check. This is the actual bet Plaud is making, that an assistant worth having has to act, not just remember.

Pre orders for the Explorer Edition are open now at €249.90, with the first 2,000 units shipping in Q4. Buyers get $200 in Plaud Credits toward the heavier agent features on top of a starter transcription plan, so the price buys a running start on the software as much as the hardware. Calling this an Explorer Edition rather than a finished release is the honest move, an open beta wearing genuinely sharp industrial design. Plaud spent three years building the best possible way to listen. Plaud One is its first real attempt at building something worth talking to.

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Anker MindBase Gives Your Old eufy Cameras a Real Brain and 48TB of Memory: Hands-on at IFA 2026

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If you already own eufy cameras, the useful sentence in Anker’s IFA 2026 announcement is buried under the AI talk: your HomeBase S380 footage transfers straight across to the MindBase. Anker built the new hub to work with the eufy security gear people bought years ago, then bolted on a two-bay drive enclosure holding up to 48TB and a 26 TOPS compute card running an in-house language model locally. Your old cameras stay. They get a brain. That is a far rarer offer than a new camera, and considerably cheaper than replacing four of them.

The scale of what it absorbs is the part worth sitting with. MindBase acts as a Matter 1.5 controller with Thread and Zigbee support built in, and it works alongside HomeKit, Alexa, Google Assistant and Home Assistant rather than replacing any of them. It supports 20 cameras and 34 sensors, close to 100 Anker devices, and hundreds of third-party Matter products. Two Gigabit Ethernet ports and three USB 3.0 ports handle the wiring, with 64GB of onboard flash before you add a single drive. Anker wants to be the thing everything else plugs into, not another gadget competing for shelf space.

Designer: Anker

Getting there meant Anker had to kill its own family tree. eufy, soundcore, SOLIX and eufyMake are all being folded into the Anker name over the next couple of years, split into two groups called Anker For You and Anker For Home. CEO Steven Yang put it plainly on stage: category brands made sense when categories were separate, and they no longer are. Anker opened its first standalone store in Berlin the same week. A box asking to be the single brain of your house cannot credibly sit next to four differently branded limbs feeding it data, so the limbs had to go.

Physically, MindBase is trying to solve a problem NAS makers have ignored for two decades. Synology and QNAP enclosures still read as networking equipment, built for a closet, not a living room shelf. Anker’s two-bay chassis takes standard 3.5-inch drives and is styled to sit in the open, which is a real design bet given that spinning disks and a compute card generate heat that needs somewhere to go. Anker Innovations speaker Eric Villines framed the whole product around a gap that has bugged smart home owners for years: our houses are connected, not intelligent. A rule-based sensor cannot tell a raccoon from your kid, and MindBase’s pitch is that local memory finally lets it.

The security agent shows how far Anker is willing to let the box act alone. A yard sensor spots strangers at 15 meters and identifies family by phone credential at 30, then MindBase escalates on its own from a light, to a verbal warning, to active deterrence. For context, an entry-level Copilot+ laptop carries 40 TOPS and mostly uses it for background blur in video calls. Anker is asking for less silicon to make judgment calls about who belongs in your driveway at 2am, which is either the most useful application of on-device AI I have seen this year or the one I would want a very clear off switch for.

None of it has a price or a ship date yet, which is an odd silence for the product Anker built its entire rebrand around. Nest, Ring and Aqara are all circling the same local-hub idea without the drive bay, and that storage layer is MindBase’s real differentiator if Anker can actually ship it at a price regular households will pay. Whether the eufy hardware you already own is enough reason to wait and see is the only honest cliffhanger this launch leaves behind.

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Miele’s G8 Dishwasher Photographs Your Dirty Dishes Before Auto-Selecting The Cycle: Hands-on at IFA 2026

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Miele’s new G8 Diamond snaps a photo of your dirty dishes before it washes them. The moment the door swings toward shut, a light inside blinks on, a camera grabs one frame, the light dies, and the AutoVision system studies what it caught. If it sees a bottle, it calls up BottleClean and drives the spray harder. If it sees a pot, the cleaning intensity climbs. If it sees plastics, it runs the new hot air drying harder, because plastic containers are famously terrible at drying themselves. Miele showed it for the first time at IFA 2026 in Berlin, and it lands in Germany, Austria and Switzerland in April 2027.

A camera in a dishwasher makes the headline, but the memory is what makes the design. The G8 holds onto that bottle it clocked at breakfast, so stacking dinner plates on top of it by eight in the evening changes nothing. Layer in AutoDos and its PowerDisk granulate, measuring out its own detergent since 2018, then set an app rule that says wait until 80 percent full and never before 10pm, and the machine stops consulting you altogether. Miele has spent decades selling dishwashers on the promise that they scrub so you do not have to. This one wants to think so you do not have to.

Designer: Miele

Here’s the part that actually impressed me. AutoVision doesn’t run a video feed you can scrub through in the app. It fires once, right as the door clicks shut, and the machine works from that single image for the entire cycle. Load a wine bottle at breakfast, stack it under a mountain of lunch plates by evening, and the G8 still treats it as a bottle, because it saw it once and that was enough. The only real caveat came from Miele’s own team at IFA: keep bottles roughly central and pots in the lower basket, since the spray arm still struggles to reach the far corners. Vision only helps if the water can follow it there.

What makes this genuinely new isn’t the word AI, which every appliance brand at IFA 2026 was throwing around like confetti. Most of those claims are turbidity sensors, the kind that read how murky the wash water has become and adjust accordingly. LG’s SenseClean works that way, and Samsung has filed similarly around soil detection. A turbidity sensor knows the water is dirty. It has no idea why. Miele’s camera identifies the actual object sitting in the rack, a considerably harder computer vision problem, and one that both LG and Bosch have patented around for years without shipping a consumer dishwasher built on it. Miele is putting an object-recognition camera inside a box you can buy next spring, not just inside a patent filing.

Around that camera sits a decade of quieter automation finally clicking into place. AutoDos, with its PowerDisk granulate, has been dosing detergent on its own since 2018, and Miele still claims nobody else in the category offers true automatic dispensing. ExcellentDry adds a hot air system with three fixed levels, chosen once and then applied forever, aimed squarely at the plastic containers that usually come out of a cycle still damp at the base. The cutlery drawer becomes a genuine third tier, one side droppable for coffee cups, and a new touch display replaces the old dial logic. Set the app to run only past 10pm and only above 80 percent full, or tie it to your solar output, and the dishwasher stops asking permission for anything.

None of this works if you don’t trust the camera’s judgment, and Miele knows it. “Intelligence can be programmed. Trust has to be earned,” said Dr. Axel Kniehl, the company’s Executive Director of Marketing and Sales, at the IFA press conference, and it’s the one line from the whole reveal that actually admits the stakes. AutoVision only functions if enabled by the user, according to Miele’s own release, which suggests it ships switched off by default. Fair enough. Handing a machine the authority to decide how hard to scrub your grandmother’s pans is a bigger ask than letting it dose its own detergent, and Miele seems to know it needs to earn that permission slowly rather than assume it.

The G8 Diamond won’t reach a single kitchen before April 2027, and even then only in Germany, Austria and Switzerland, so everything here is still a promise rather than a lived-in product. But the promise is the interesting part. For a century, appliance makers competed on how much physical labor they could remove. Miele is the first one at this scale betting the next fight is over who you trust to make the fifty tiny decisions labor never touched in the first place.

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Acer Shrank Server-Level AI Into Two Mini Desktops at IFA 2026

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Acer used IFA 2026 to prove that serious AI horsepower doesn’t need a tower case anymore. The company introduced two mini desktops built for running AI agents locally instead of leaning on the cloud: the shipping Veriton RI110 AI Mini Workstation and a striking concept called the Acer SFF RTX Spark design. Both squeeze desktop-class compute into shells small enough to disappear on a shelf.

The Veriton RI110 fits an Intel Core Ultra X7 processor 358H and Intel Arc B390 graphics into a chassis measuring just 5.45 by 5.17 by 2.05 inches and weighing about 1.39 lbs. Despite that footprint, it supports AI models with up to 120 billion parameters, backed by up to 96 GB of memory and 4 TB of SSD storage, plenty for demanding local workloads.

Designer: Acer

That power feeds directly into Acer Qubi Claw, a new agentic AI assistant designed to run local workflows inside an isolated sandbox so sensitive data never has to leave the machine. Installation takes one click, and its starting skill set already covers in-depth online research, travel itinerary planning, and transcribing or translating audio into text notes, all schedulable on autonomous routines that work quietly in the background.

Acer also builds in OCuLink connectivity, a dedicated PCIe 4.0 x4 interface delivering up to 64 Gbps of bandwidth for connecting external GPUs or high-speed NVMe storage. That link skips the extra processing overhead of traditional expansion methods, so creators and developers can bolt on desktop-class rendering power only when a project demands it, then disconnect it again without carrying that bulk around every day.

Standing beside it, the Acer SFF RTX Spark design takes a different shape entirely, built around NVIDIA’s RTX Spark superchip rather than Intel silicon. Vented panels wrap a narrow vertical shell accented with a warm metallic stripe, giving the design a presence that reads more like a piece of audio equipment than a workstation, while a fold-out stand lets it stand upright on a desk instead of lying flat.

Underneath that shell, Acer packs up to a 6,144-core Blackwell RTX GPU, up to a 20-core NVIDIA Grace CPU, up to 128 GB of unified memory, and up to 1 petaflop of AI compute, numbers usually reserved for server racks. Paired with NVIDIA’s full-stack AI platform and its complete suite of RTX technologies, the design targets creators, developers, and gamers alike.

Acer hasn’t confirmed pricing or a release window for the SFF RTX Spark design, while the Veriton RI110 arrives in North America during the fourth quarter of 2026 and reaches EMEA in the first quarter of 2027. Together, the two machines make a case that agentic AI doesn’t need a data center to feel powerful, just a well-engineered box small enough to tuck beside a monitor and forget about.

The post Acer Shrank Server-Level AI Into Two Mini Desktops at IFA 2026 first appeared on Yanko Design.

A Fan Actually Designed Man City’s Third Kit With Puma’s AI Platform

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No matter how you feel about generative artificial intelligence, you can’t deny the fact that it has democratized creativity. Whether you have design experience or an art background, or neither, you now have tools you can use to bring your creative juices to life. Popular English club Manchester City and PUMA developed a platform to help fans express their fandom through original kit designs, and now they’ve actually let one lucky fan’s concept become the club’s official third kit.

Manchester City’s 2026/27 Third Kit is the first AI-generated fan design to be worn by a professional football club on the pitch and sold commercially. It was created using the PUMA AI Creator, a tool that turns written prompts into full kit designs in just a few seconds. Lifelong Manchester City fan and photographer Elliott Lacey’s creation was chosen from more than 180,000 designs submitted on the platform.

Designer: Elliott Lacey and PUMA

For those not familiar with football (soccer, to American audiences), a club’s third kit is just as important as its home and away kits, and it sometimes even outsells the two, provided it’s well designed, of course. Lacey used the platform to design his submission during his lunch break, and PUMA brought it to life with the brand’s signature quality. The project reflects a broader push by the sportswear brand to blend technology, football culture, and fan community in a way that hasn’t really been attempted before at this level of professional sports.

The design itself features a white base split by a central two-tone sash in sky blue and dark navy, finished with a gradient technique that shifts the pattern’s dimension depending on the light and viewing angle. Manchester City fans are used to seeing the club sporting an almost pure sky-blue kit, so this white base with blue accents, while still very much true to the club’s identity, feels like a refreshing twist.

What makes this launch even more compelling is the scale of fan involvement behind it. Over 180,000 designs were submitted through the PUMA AI Creator, generating 1.7 million platform ratings from supporters worldwide before the field was narrowed down to a final ten for a public vote. That kind of grassroots participation shows this wasn’t just a marketing gimmick, it was a genuine, global collaboration between a club and the people who love it most.

Manchester City’s marketing leadership framed the project as an extension of the deep bond between the club and its global fanbase, describing the initiative as a way of turning ordinary supporters into designers for a day, with AI as the bridge that made it possible. On the PUMA side, leadership described the collaboration as sitting squarely at the intersection of technology, football, and community, a rare combination that doesn’t come together often in professional sports branding.

For Lacey himself, the experience was described as surreal and deeply personal. Having grown up as a City supporter, he never expected that a design he put together on a lunch break would end up gracing the shirts of the players he idolized. It’s the kind of story that turns an everyday supporter into part of club history, and it’s exactly the sort of narrative that makes this kit special beyond its good looks.

For collectors, this kit represents something more than fresh apparel for the upcoming season. It’s a cultural milestone, the first tangible proof that AI-assisted design can move from novelty experiment to something worn by elite athletes and cherished by fans around the world. Owning one means owning a piece of a genuine “first” in sports history, not just another seasonal jersey.

Whether you’re a die-hard Cityzen, a design enthusiast curious about where AI creativity is headed, or simply someone who appreciates a good underdog story, this kit checks every box. It’s proof that passion, paired with the right tools, can turn an ordinary lunch break into a legacy moment. And as more clubs watch how enthusiastically fans embraced this process, don’t be surprised if Elliott Lacey’s story becomes the blueprint for how sports brands invite their communities into the creative process for years to come.

The post A Fan Actually Designed Man City’s Third Kit With Puma’s AI Platform first appeared on Yanko Design.