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Virtual anime streamers are selling out live venues, singing at pro sports games, and launching record labels, with fans showering them with presents and suspending disbelief in service of the bit.

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All products featured on Architectural Digest are independently selected by our editors. However, we may receive compensation from retailers and/or from purchases of products through these links.Featured in this articleBest Overall Sateen SheetsBoll & Branch Signature Hemmed Sheet SetRead moreFor a Romantic DrapeEttitude CleanBamboo Sheet Set Read moreThe Affordable PickGood Sleep Bedding Egyptian Cotton Sateen SheetsRead moreShow more3 / 8A close cousin to percale and silk, the best sateen sheets offer a happy medium of refinement and softness, all in one durability, and an easy-to-clean fabric.Sateen is known for having a polished appearance because of its lustrous sheen and wrinkle-resistant material. This comes from a tight satin weave that leaves a shiny look without compromising a smooth hand feel. While you can find this bedding in elevated spaces like this vibrant West Village town house thanks to embroidered touches and traditional prints, they’re surprisingly versatile and come in many forms. Here, our editors dive into their favorites for their bedrooms. Since you can find many in higher thread counts though (which we dive into more below), these are durable enough for any room in the house—as seen in this family-friendly getaway.Inside this ArticleBest Overall Sateen Sheets1/8Boll & Branch Signature Hemmed Sheet SetBoll & Branch caught commerce director Rachel Fletcher’s attention when she was browsing for new sheets for a few reasons. One: The brand makes organic and fair trade sheets: Two: She loves a sateen weave, and the retailer mentioned that this set was their bestseller and she wanted to see what the hype was about. “Boll & Branch claims that these cotton sateen sheets are buttery soft, and I definitely agree,” Fletcher says. “That extra-soft feel paired with the lovely, cooling properties make them feel like the luxury sheets that they are.” Along with an earthy color palette (Fletcher has her set in mineral) and thoughtful hem detailing, this set stood out to be our top pick. These do have a higher price point, but as some of the plushest sheets she’s slept on, Fletcher thinks they’re worth it.Specs:Material: 100% organic cottonThread count: N/ASizes: Twin, Twin XL, Full, Queen, King, King With Std. Cases, California King, Split KingColors: 18 colors; 8 printsUpsides & DownsidesUpsidesSustainable materialBreathableOrganic colorwaysDownsidesExpensiveFor a Romantic DrapePhoto: Yelena Moroz AlpertPhoto: Yelena Moroz Alpert2/8Ettitude CleanBamboo Sheet Set “These sheets are buttery—pun intended,” says senior commerce editor Nashia Baker, who has the set in the butter yellow hue and loves the fabric’s delicate yet durable feel. Contributor Yelena Moroz Alpert also has this set and says that the cooling lyocell fabric set takes the bamboo sheets category up a notch. “Somehow they feel substantial but incredibly light and smooth,” she says of this splurge-worthy set. “The site says that the silky-soft sateen weave is comparable to 1,000 thread count cotton—and I believe it. I’ve never touched a baby alpaca, but I imagine that it’s as soft as these sheets.”Specs:Material: 100% CleanBamboo lyocellThread count: 1,000 thread countSizes: Twin, Twin XL, Full, Queen, King, California KingColors: 8Upsides & DownsidesUpsidesPearly appearanceLightweightUltra softDownsidesPriceyThe Affordable Pick3/8Good Sleep Bedding Egyptian Cotton Sateen SheetsDon’t overlook the best Amazon sheets for high-end sateen bedding. Contributor Erika Owen says these are a great option: “After a single night, they became my favorite set, and a few more nights and a wash only locked in this opinion.” She says they’re sumptuous, cool, and durable—and their quality (think texture, weight, and comfort) hasn’t changed after many rounds through the washer and dryer. “I would buy these as a gift for my best friend, if that tells you anything about how much I recommend these,” says Owen. “There’s nothing better than feeling really good as you hit the hay—who doesn’t want a luxury bed situation—and I felt that way every time I dug into these silky sheets. Let it also be known that I’m no stranger to night sweats and these kept me cool every single night.” The finishing touches are the deep pockets and sturdy elastic on the fitted sheet to fit a grand mattress.Specs:Material: 100% Egyptian cottonThread count: 1,000 thread countSizes: Twin, Twin XL, Full, Queen, King, California King, Split KingColors: 13Upsides & DownsidesUpsidesHigher thread countCoolingSturdy after several washesDownsidesSome shoppers found the fabric weightyA Vibrant Print4/8Rifle Paper Co. Peacock Sateen Bed Sheet SetThese are some of the softest bed sheets out there, just take it from Alpert. Not only are they comfortable to sink into night after night thanks to the plush 300 thread count, but they also veer away from traditional patterns and solid colorways. “I was originally drawn to the peacock print because it is just so whimsical and livens up my guest bedroom,” Alpert says. “But these are also buttery soft. Maybe too soft—my guests never want to leave.” If it wasn’t for the true-to-Rifle print, she would mistake these for hotel sheets because of their supple feel.Specs:Material: 100% combed cotton sateenThread count: 300 thread countSizes: Twin, Full, Queen, KingColors: 3Upsides & DownsidesUpsidesUnique patternsSuppleAiry materialDownsidesNot as ideal for minimalistsClassic Core Set5/8Brooklinen Luxe Sateen Core Sheet SetIf you want sheets with unparalleled quality, durability, and softness that gets better with every wash, multiple AD staff members say you can’t go wrong with these Brooklinen sheets. Fletcher shares that this sateen set is “super classic, smooth, and has a crisp feel.” Sleepers with sensitive skin will also be happy to know that they’re “not at all scratchy or harsh on my skin, like some of the less expensive options I’ve tried in the past,” Fletcher adds.Specs:Material: 100% long-staple cottonThread count: 480 thread countSizes: Twin, Twin XL, Full, Queen, King, California KingColors: 22Upsides & DownsidesUpsidesStructured fabric like a press shirtWrinkle-free designAffordableDownsidesLimited-edition colors sell out fastMore AD-Approved Sateen Sheets6/8Hill House Home Fitted Sheet“For a $100 top sheet and $125 fitted sheet, I truly didn’t know what to expect from a brand as new to the decor game as Hill House Home, but was delightfully surprised at the quality and attention to detail that was put into making these products,” contributor Katarina Kovac says of these Hill House Home sheets.“I wanted something that was crisp yet elevated, and the colored trim in the Savile Sheets was my answer.” Since she’s had her fair share of sheets that have a sandpaper-like texture, she paid close attention to how well these felt after the first wash. To her delight, these “felt soft, velvety, and breathable against my skin, leaving me truly struggling to get out of bed in the morning.”Specs:Material: 100% brushed cotton sateenThread count: N/ASizes: Twin, Full, Queen, King, California KingColors: 6Upsides & DownsidesUpsidesTraditional printsLushSmooth feelThoughtful trimDownsidesFlat sheet, fitted sheet, and pillowcases are sold separately7/8Homebird Sateen Fitted Sheets (Set of 3)Fletcher loves an ethically made, slippery sateen weave, and it took just one night of sleep to be sold on this Homebird set. “They’re very high quality and everything you want in a sateen sheet: incredibly soft to the touch and slightly silky, with a sturdiness to them that you can tell is the result of a high thread count,” she says. “They fit my bed perfectly and also have the most useful feature that, in my opinion, every set of sheets ever made should have: a long-side and short-side label.”Specs:Material: 100% GOTS-certified, long-staple organic cottonThread count: 300 thread countSizes: Full, Queen, KingColors: 7Upsides & DownsidesUpsidesSilky smoothHelpful labels to make the bedDeep pocketsDownsidesOnly available in muted tones

Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot, that level of imprecision is the difference between a successful mission and a costly failure. These machines require pinpoint accuracy to operate safely and efficiently. Addressing this critical challenge, researchers from the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland have introduced a groundbreaking new method for visual localization during CVPR 2025 Their new paper, “FG2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching,” presents a novel AI model that significantly enhances the ability of a ground-level system, like an autonomous car, to determine its exact position and orientation using only a camera and a corresponding aerial (or satellite) image. The new approach has demonstrated a remarkable 28% reduction in mean localization error compared to the previous state-of-the-art on a challenging public dataset. Key Takeaways: Superior Accuracy: The FG2 model reduces the average localization error by a significant 28% on the VIGOR cross-area test set, a challenging benchmark for this task. Human-like Intuition: Instead of relying on abstract descriptors, the model mimics human reasoning by matching fine-grained, semantically consistent features—like curbs, crosswalks, and buildings—between a ground-level photo and an aerial map. Enhanced Interpretability: The method allows researchers to “see” what the AI is “thinking” by visualizing exactly which features in the ground and aerial images are being matched, a major step forward from previous “black box” models. Weakly Supervised Learning: Remarkably, the model learns these complex and consistent feature matches without any direct labels for correspondences. It achieves this using only the final camera pose as a supervisory signal. Challenge: Seeing the World from Two Different Angles The core problem of cross-view localization is the dramatic difference in perspective between a street-level camera and an overhead satellite view. A building facade seen from the ground looks completely different from its rooftop signature in an aerial image. Existing methods have struggled with this. Some create a general “descriptor” for the entire scene, but this is an abstract approach that doesn’t mirror how humans naturally localize themselves by spotting specific landmarks. Other methods transform the ground image into a Bird’s-Eye-View (BEV) but are often limited to the ground plane, ignoring crucial vertical structures like buildings. FG2: Matching Fine-Grained Features The EPFL team’s FG2 method introduces a more intuitive and effective process. It aligns two sets of points: one generated from the ground-level image and another sampled from the aerial map. Here’s a breakdown of their innovative pipeline: Mapping to 3D: The process begins by taking the features from the ground-level image and lifting them into a 3D point cloud centered around the camera. This creates a 3D representation of the immediate environment. Smart Pooling to BEV: This is where the magic happens. Instead of simply flattening the 3D data, the model learns to intelligently select the most important features along the vertical (height) dimension for each point. It essentially asks, “For this spot on the map, is the ground-level road marking more important, or is the edge of that building’s roof the better landmark?” This selection process is crucial, as it allows the model to correctly associate features like building facades with their corresponding rooftops in the aerial view. Feature Matching and Pose Estimation: Once both the ground and aerial views are represented as 2D point planes with rich feature descriptors, the model computes the similarity between them. It then samples a sparse set of the most confident matches and uses a classic geometric algorithm called Procrustes alignment to calculate the precise 3-DoF (x, y, and yaw) pose. Unprecedented Performance and Interpretability The results speak for themselves. On the challenging VIGOR dataset, which includes images from different cities in its cross-area test, FG2 reduced the mean localization error by 28% compared to the previous best method. It also demonstrated superior generalization capabilities on the KITTI dataset, a staple in autonomous driving research. Perhaps more importantly, the FG2 model offers a new level of transparency. By visualizing the matched points, the researchers showed that the model learns semantically consistent correspondences without being explicitly told to. For example, the system correctly matches zebra crossings, road markings, and even building facades in the ground view to their corresponding locations on the aerial map. This interpretability is extremenly valuable for building trust in safety-critical autonomous systems. “A Clearer Path” for Autonomous Navigation The FG2 method represents a significant leap forward in fine-grained visual localization. By developing a model that intelligently selects and matches features in a way that mirrors human intuition, the EPFL researchers have not only shattered previous accuracy records but also made the decision-making process of the AI more interpretable. This work paves the way for more robust and reliable navigation systems for autonomous vehicles, drones, and robots, bringing us one step closer to a future where machines can confidently navigate our world, even when GPS fails them. Check out the Paper. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter. Jean-marc MommessinJean-marc is a successful AI business executive .He leads and accelerates growth for AI powered solutions and started a computer vision company in 2006. He is a recognized speaker at AI conferences and has an MBA from Stanford.Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/AI-Generated Ad Created with Google’s Veo3 Airs During NBA Finals, Slashing Production Costs by 95%Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Highlighted at CVPR 2025: Google DeepMind’s ‘Motion Prompting’ Paper Unlocks Granular Video ControlJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Snowflake Charts New AI Territory: Cortex AISQL & Snowflake Intelligence Poised to Reshape Data AnalyticsJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Exclusive Talk: Joey Conway of NVIDIA on Llama Nemotron Ultra and Open Source Models

We are told to customize, expand, and provide more options, but that might be a silent killer for our conversion rate. Using behavioral psychology and modern product design, this piece explains why brands like Apple use fewer, smarter choices to convert better.Image generated using ChatgptJam-packed decisionsImagine standing in a supermarket aisle in front of the jam section. How do you decide which jam to buy? You could go for your usual jam, or maybe this is your first time buying jam. Either way, a choice has to be made. Or does it?You may have seen the vast number of choices, gotten overwhelmed, and walked away. The same scenario was reflected in the findings of a 2000 study by Iyengar and Lepper that explored how the number of choice options can affect decision-making.Iyengar and Lepper set up two scenarios; the first customers in a random supermarket being offered 24 jams for a free tasting. In another, they were offered only 6. One would expect that the first scenario would see more sales. After all, more variety means a happier customer. However:Image created using CanvaWhile 60% of customers stopped by for a tasting, only 3% ended up making a purchase.On the other hand, when faced with 6 options, 40% of customers stopped by, but 30% of this number ended up making a purchase.The implications of the study were evident. While one may think that more choices are better when faced with the same, decision-makers prefer fewer.This phenomenon is known as the Paradox of Choice. More choice leads to less satisfaction because one gets overwhelmed.This analysis paralysis results from humans being cognitive misers that is decisions that require deeper thinking feel exhausting and like they come at a cognitive cost. In such scenarios, we tend not to make a choice or choose a default option. Even after a decision has been made, in many cases, regret or the thought of whether you have made the ‘right’ choice can linger.A sticky situationHowever, a 2010 meta-analysis by Benjamin Scheibehenne was unable to replicate the findings. Scheibehenne questioned whether it was choice overload or information overload that was the issue. Other researchers have argued that it is the lack of meaningful choice that affects satisfaction. Additionally, Barry Schwartz, a renowned psychologist and the author of the book ‘The Paradox of Choice: Why Less Is More,’ also later suggested that the paradox of choice diminishes in the presence of a person’s knowledge of the options and if the choices have been presented well.Does that mean the paradox of choice was an overhyped notion? I conducted a mini-study to test this hypothesis.From shelves to spreadsheets: testing the jam jar theoryI created a simple scatterplot in R using a publicly available dataset from the Brazilian e-commerce site Olist. Olist is Brazil’s largest department store on marketplaces. After delivery, customers are asked to fill out a satisfaction survey with a rating or comment option. I analysed the relationship between the number of distinct products in a category (choices) and the average customer review (satisfaction).Scatterplot generated in R using the Olist datasetBased on the almost horizontal regression line on the plot above, it is evident that more choice does not lead to more satisfaction. Furthermore, categories with fewer than 200 products tend to have average review scores between 4.0 and 4.3. Whereas, categories with more than 1,000 products do not have a higher average satisfaction score, with some even falling below 4.0. This suggests that more choices do not equal more satisfaction and could also reduce satisfaction levels.These findings support the Paradox of Choice, and the dataset helps bring theory into real-world commerce. A curation of lesser, well-presented, and differentiated options could lead to more customer satisfaction.Image created using CanvaFurthermore, the plot could help suggest a more nuanced perspective; people want more choices, as this gives them autonomy. However, beyond a certain point, excessive choice overwhelms rather than empowers, leaving people dissatisfied. Many product strategies reflect this insight: the goal is to inspire confident decision-making rather than limiting freedom. A powerful example of this shift in thinking comes from Apple’s history.Simple tastes, sweeter decisionsImage source: Apple InsiderIt was 1997, and Steve Jobs had just made his return to Apple. The company at the time offered 40 different products; however, its sales were declining. Jobs made one question the company’s mantra,“What are the four products we should be building?”The following year, Apple saw itself return to profitability after introducing the iMac G3. While its success can be attributed to the introduction of a new product line and increased efficiency, one cannot deny that the reduction in the product line simplified the decision-making process for its consumers.To this day, Apple continues to implement this strategy by having a few SKUs and confident defaults.Apple does not just sell premium products; it sells a premium decision-making experience by reducing friction in decision-making for the consumer.Furthermore, a 2015 study based on analyzing scenarios where fewer choice options led to increased sales found the following mitigating factors in buying choices:Time Pressure: Easier and quicker choices led to more sales.Complexity of options: The easier it was to understand what a product was, the better the outcome.Clarity of Preference: How easy it was to compare alternatives and the clarity of one’s preferences.Motivation to Optimize: Whether the consumer wanted to put in the effort to find the ‘best’ option.Picking the right spreadWhile the extent of the validity of the Paradox of Choice is up for debate, its impact cannot be denied. It is still a helpful model that can be used to drive sales and boost customer satisfaction. So, how can one use it as a part of your business’s strategy?Remember, what people want isn’t 50 good choices. They want one confident, easy-to-understand decision that they think they will not regret.Here are some common mistakes that confuse consumers and how you can apply the Jam Jar strategy to curate choices instead:Image is created using CanvaToo many choices lead to decision fatigue.Offering many SKU options usually causes customers to get overwhelmed. Instead, try curating 2–3 strong options that will cover the majority of their needs.2. Being dependent on the users to use filters and specificationsWhen users have to compare specifications themselves, they usually end up doing nothing. Instead, it is better to replace filters with clear labels like “Best for beginners” or “Best for oily skin.”3. Leaving users to make comparisons by themselvesToo many options can make users overwhelmed. Instead, offer default options to show what you recommend. This instills within them a sense of confidence when making the final decision.4. More transparency does not always mean more trustInformation overload never leads to conversions. Instead, create a thoughtful flow that guides the users to the right choices.5. Users do not aim for optimizationAssuming that users will weigh every detail before making a decision is not rooted in reality. In most cases, they will go with their gut. Instead, highlight emotional outcomes, benefits, and uses instead of numbers.6. Not onboarding users is a critical mistakeHoping that users will easily navigate a sea of products without guidance is unrealistic. Instead, use onboarding tools like starter kits, quizzes, or bundles that act as starting points.7. Variety for the sake of varietyUsers crave clarity more than they crave variety. Instead, focus on simplicity when it comes to differentiation.And lastly, remember that while the paradox of choice is a helpful tool in your business strategy arsenal, more choice is not inherently bad. It is the lack of structure in the decision-making process that is the problem. Clear framing will always make decision-making a seamless experience for both your consumers and your business.How jam jars explain Apple’s success was originally published in UX Collective on Medium, where people are continuing the conversation by highlighting and responding to this story.

iOS 19—or is it iOS 26, as rumors suggest?—is nearly here. Apple will almost assuredly announce the latest version of the iPhone's OS next week at WWDC 2025. As such, rumors about iOS 26's features have been coming in fast, and only more so as we approach the big event. Although none of these rumors can be confirmed at the moment, they still give us a good idea about what Apple might be considering behind the scenes.Is Apple changing iOS' name?Seems that way. While we (logically) thought the next version of iOS would be called iOS 19, Apple reportedly has other plans in place. According to Bloomberg's Mark Gurman, iOS 19 will be iOS 26, taking the name of the following year. Apple is reportedly doing this with all of its OS titles, including iPadOS 26, macOS 26, watchOS 26, and visionOS 26. A fresh look for iOS 26While iOS has changed considerably in recent years, the overall design language still follows the last big UI overhaul: 2013's iOS 7. It's been nearly 12 years since Apple has mixed things up, leaving users to design their own Lock Screens and app icons. According to Gurman, however, that might change with iOS 26, as well as iPadOS 26 and macOS 26. The details are scarce, but Gurman reports sources within Apple say the company wants to better align the design languages across its various products, without merging those OSes entirely, while also simplifying the way you interact with these devices. That means iOS 26 could adopt the design of visionOS, which uses circles instead of squares for app icons, translucent window elements, and the adoption of 3D—though that latter element may be difficult to translate on a 2D display.You can see those elements on display in this concept video from Jon Prosser. If the rumors are correct, we could be looking at "one of the most dramatic software overhauls in the company’s history." In addition to a new look, iOS may be getting a little less buggy. Gurman says that stability is a big priority for Apple this year, which is music to my ears.Live translation for AirPodsGurman also says that Apple is working on a live translation feature for certain AirPods models. If you're having a conversation with someone who is speaking a language you don't know, your AirPods will translate and dictate those words in your target language automatically. When you speak, your words will be translated and dictated by your iPhone, via the Translate app. This feature isn't groundbreaking—Google's Pixel Buds have offered it for years. But it'd be a great addition to iOS 26, and to AirPods users. Accessibility featuresApple doesn't reveal much about its upcoming updates before officially announcing them, but accessibility features are an exception. Last month, the company unveiled a list of accessibility features coming to devices "later this year." While they don't name iOS 26 and other "26" updates, it's pretty obvious those are the updates we'll see them in. There's a new Accessibility Reader feature that makes text easier to read across iOS; Magnifier is coming to Mac; you'll see "Accessibility nutrition" labels on the App Store, to denote how accessible an app is; Apple Watch is getting Live Captions, and Vehicle Motion Cues are coming to the Mac. 'Desktop' modeRumor has it that Apple is working on a "Stage Manager-like" desktop mode for USB-C iPhones with iOS 26. The feature would let you plug your iPhone into an external monitor, so you can extend your iPhone's screen to the larger display.This might not be a true "desktop mode" experience, like Samsung DeX, in that you might not be able to use your iPhone as a portable computer this way. But it could make it easier to share your iPhone's display when you want to connect to a larger screen. You only need to sign into public wifi networks onceIf you use multiple devices on public wifi networks, it's a pain to connect each one manually. That might be changing with Apple's upcoming updates: Gurman says that once updated, you'll only need to log into the wifi with one Apple device (your iPhone, iPad, or Mac) and the rest will automatically connect.Battery upgradesHere's a great use for AI: optimizing battery life. Rumor has it iOS 26 will analyze your usage habits and determine the right times to lower performance in the name of preserving battery life. Extending the amount of time between charges is something we can all get behind. In addition, the company may add a charging indicator to the lock screen, so you know how long your battery has left to charge. This small feature has been sorely missing on iPhones for years. Apple offers it on MacBooks, but only in Activity Monitor. I hope its brings it back to the menu bar in a future update. Your iPhone will (probably) run iOS 26With any luck, your current iPhone should be compatible with iOS 26, assuming you're currently running the latest software. Citing a source within Apple, French website iPhoneSoft.fr reports that any phone that runs iOS 18 should be compatible with iOS 26 as well. However, the iPad 7 will supposedly not be so lucky, as the website says it will not be included in the iPadOS 26 update.However, a MacRumors source says that Apple plans to drop the iPhone XR, XS, and XS Max this year. We'll have to wait and see what Apple announces on Monday to find out which phones will still be supported.A new gaming appAccording to Gurman, Apple is working on a dedicated gaming app for iOS, iPadOS, macOS, and tvOS, meant to replace the existing Game Center. The app will both let you launch titles, as well as check leader boards, chat with friends, and see your achievements. If true, it'll be interesting timing, considering the announcement will come four days after the launch of the Nintendo Switch 2. I have my doubts that such an app could compete with a gaming titan like Nintendo, or that this will really expand beyond the traditional short and sweet mobile game experience, but who knows. Maybe Apple is about to become a serious gaming company. (I doubt it.)Shortcuts get Apple Intelligence integrationThe Shortcuts app lets you set up "shortcuts," which you can use to automate tasks across your Apple devices. Gurman says with iOS 26, Apple is integrating Apple Intelligence into the Shortcuts app, which might let you create shortcuts with natural language—or, in other words, describe the shortcuts you want and have the AI build them for you. Small updatesAccording to 9to5Mac, Apple has plans to add a new feature or two to a handful of apps. That includes:Messages: Automatic translation for incoming and outgoing messages, as well as polls.Music: Full-screen animated artwork on the lock screenNotes: Markdown support, a huge plus for pro-notes usersCarPlay: A redesigned UI to compliment iOS 26The merging of Siri and Apple IntelligenceAccording to Gurman, Apple plans to merge Siri with Apple Intelligence sometime during the iOS 26 patch cycle. Yes, the assistant is currently listed as being part of Apple Intelligence, but behind the scenes, it supposedly has a new LLM in the works that would unify its currently split architecture and allow it to more frequently handle complex requests. As of now, its AI features are much more limited, and most of Siri doesn't use this type of AI at all.Gurman says he expects the merger to be completed by spring of 2026 with the launch of iOS 26.4. His report states that, originally, Apple's plan was to launch a more conversational Siri in the same update, but that's been delayed and is not expected to be unveiled at WWDC 2025.Gurman also indicates that because Apple has not yet completed last year's Apple Intelligence feature rollout, any unannounced features shouldn't be expected for a while.

In this Q&A, get a glimpse into the future of artificial intelligence (AI) and computer vision through the lens of longtime Unity user Gerard Espona, whose robot digital twin project was featured in the Made with Unity: AI series. Working as simulation lead at Luxonis, whose core technology makes it possible to embed human-level perception into robotics, Espona uses his years of experience in the industry to weigh in on the current state and anticipated progression of computer vision.During recent years, computer vision (CV) and AI have become the fastest-growing fields both in market size and industry adoption rate. Spatial CV and edge AI have been used to improve and automate repetitive tasks as well as complex processes.This new reality is thanks to the democratization of CV/AI. Increasingly affordable hardware access, including depth perception capability as well as improvements in machine learning (ML), has enabled the deployment of real solutions on edge CV/AI systems.Spatial CV using edge AI enables depth-based applications to be deployed without the need of a data center service, and also allows the user to preserve privacy by processing images on the device itself.Along with more accessible hardware, software and machine learning workflows are undergoing important improvements. Although they are still very specialized and full of technical challenges, they have become much more accessible, offering tools that allow users to train their own models.Within the standard ML pipeline/workflow, large-scale edge computing and deployment can still pose issues. One of the biggest general challenges is to reduce the costs and timelines currently required to create and/or improve machine learning models on real-world applications. In other words, the challenge is how to manage all these devices to enable a smooth pipeline for continuous improvement.Also, the implicit limitations in terms of compute processing need extra effort on the final model deployed on the device (that is, apps need to be lightweight, performant, etc.). That said, embedded technology evolves really fast, and each iteration is a big leap in processing capabilities.Spatial CV/AI is a field that still requires a lot of specialization and systems. Workflows are often complicated and tedious due to numerous technical challenges, so a lot of time is devoted to smoothing out the workflow instead of focusing on value-added tasks.Creating datasets (collecting and filtering images and videos), annotating the images, preprocessing/augmentation process, training, deploying and closing the feedback loop for continuous improvement is a complex process. Each step of the workflow is technically difficult and usually involves time and financial cost, and more so for systems working in remote areas with limited connectivity.At Luxonis, we help our customers build and deploy solutions to solve and automate complex tasks at scale, so we’re facing all these issues directly. Our mission, “Robotic vision made simple,” provides not only great and affordable depth-capable hardware, but also a solid and smooth ML pipeline with synthetic datasets and simulation.Another important challenge is the work that needs to be done on the interpretability of models and the creation of datasets from an ethical, privacy and bias point of view.Last but not least, global chip supply issues are making it difficult to get the hardware into everybody’s hands.Data-centric AI is potentially useful when a working model is underperforming. Investing a large amount of time to optimize the model often leads to almost zero real improvement. Instead, with data-centric AI the investment is in analysis, cleaning and improving of the dataset.Usually when a model is underperforming, the issue is within the dataset itself, as there is not enough data for the model to outperform. This could be the result of two possible reasons: 1) the model needs a much larger amount of data, which is difficult to collect in the real world, or 2) the model doesn’t have enough examples of rare cases, which take a lot of time to happen in the real world.In both situations, synthetic datasets could help.Thanks to Unity’s computer vision tools, it is very easy to create photorealistic scenes and randomize elements like materials, light conditions and object placement. The tools come with common labels like 2D bounding boxes, 3D bounding boxes, semantic and instance segmentation, and even human body key points. Additionally, these can be easily extended with custom randomizers, labelers and annotations.Almost any task you want to automate or improve using edge CV/AI very likely involves detecting people for obvious safety and security reasons. It’s critical to guarantee user safety around autonomous systems or robots when they’re working, requiring models to be trained on data about humans.That means we need to capture a large amount of images, including information like poses and physical appearance, that are representative of the entire human population. This task raises some concerns about privacy, ethics and bias when starting to capture real human data to train the model.Fortunately, we can use synthetic datasets to mitigate some of these concerns using human 3D models and poses. A very good example is the work done by the Unity team with PeopleSansPeople.PeopleSansPeople is a human-centric synthetic dataset creator using 3D models and standard animations to randomize human body poses. Also, we can use a Unity project template, to which we add our own 3D models and poses to create our own human synthetic dataset.At Luxonis, we’re using this project as the basis for creating our own human synthetic dataset and training models. In general, we use Unity’s computer vision tools to create large and complex datasets with a high level of customization on labelers, annotations and randomizations. This allows our ML team to iterate faster with our customers, without needing to wait for real-world data collection and manual annotation.Since the introduction of transformer architecture, CV tasks are more accessible. Generative models like DALL-E 2 could also be used to create synthetic datasets, and NeRF as a neural approach to generate novel point of views of known objects and scenes. It’s clear all these innovations are catching the attention of audiences.On the other hand, having access to better annotation tools and model zoos and libraries with pre-trained, ready-to-use models are helping drive wide adoption.One key element contributing to the uptick in computer vision use is the fast evolution of vision processing units (VPUs) that currently allow users to perform model inferences on device (without the need for any host) at 4 TOPS of processing power (current Intel Movidius Myriad X). The new generation of VPUs promises a big leap in capabilities, allowing even more complex CV/AI applications to be deployed on edge.Any application related to agriculture and farming always captures my attention. For example, there is now a cow tracking and monitoring CV/AI application using drones.Our thanks to Gerard for sharing his perspective with us – keep up with his latest thoughts on LinkedIn and Twitter. And, learn more about how Unity can help your team generate synthetic data to improve computer vision model training with Unity Computer Vision.

Key Takeaways New EU rules take effect June 20, 2025, requiring mobile phones and tablets to be easier and cheaper to repair, including mandatory access to spare parts for up to seven years. Devices must meet durability standards, such as resistance to drops, water, and dust, and batteries must retain 80% capacity after 800 cycles. Manufacturers must offer 5 years of software updates and grant repair professionals access to firmware and repair tools to ensure long-term device usability. Energy consumption is expected to drop, with households projected to save €98 over five years due to longer-lasting, more repairable devices. In a win for the right to repair, the European Union (EU) has released its new energy labeling and ecodesign requirements for mobile phones, tablets, and even cordless phones.  Once implemented, this would help extend the product lifetime of these devices by making them cheaper and easier to repair. Up Ahead: Long-Lasting and Easy-to-Repair Devices The new ecodesign and energy labeling regulations will apply to devices sold in the EU effective June 20, 2025. One key area is the availability of spare parts. Once the regulations take effect, critical spare parts for a device must remain available for seven years from the last day the producer stops selling it. These parts must also be available to repairers within 5–10 working days. Mobile phones, cordless phones, and tablets under the ecodesign regulations must also be resistant to scratches and accidental drops, and be protected from dust and water.  The EU also specified that batteries must withstand at least 800 charge and discharge cycles while holding 80% of their initial capacity. These measures could help ensure devices last longer, thus reducing the need to replace them and lowering their cost of ownership. The requirements go beyond just the hardware. On the software side, manufacturers must also provide at least 5 years of operating system upgrades and give professional repairers access to software or firmware.  These would allow devices to continue to run smoothly and protect them from security vulnerabilities. On top of the ecodesign requirements, the EU also specified energy labeling requirements on the applicable devices. The labels would provide information about the device’s repairability score, energy efficiency, battery longevity, dust and water protection, and resistance to accidental drops. Having clear and easy-to-understand labels can help consumers in the EU make better choices when buying phones and tablets. They’ll know at a glance whether a device can withstand drops or if the batteries will remain reliable for as long as possible. The Projected Impact of the Ecodesign and Energy Labeling Requirements With the new requirements, the EU expects a significant reduction in the energy consumption of the applicable devices. Regarding charging time, this should go down from 2.5 to 1.75 hours per day.  Also, the annual electrical consumption of high-end smartphones is projected to decrease by 25%, while it’s 23% for tablets by 2030. Making devices easier to repair is also seen to reduce the acquisition costs of devices by € 98 per household in five years. A Win for the Right to Repair, But Obstacles Lie Ahead While the EU has already made significant progress in the area of the right to repair, many countries remain well behind. In the US, for instance, only a handful of states like California and Colorado have already enacted right-to-repair laws, while most of the country has yet to catch up. Without laws like these, most manufacturers won’t have the incentive to make their devices easier to repair.  A quick look at iFixit’s smartphone repairability scores shows that only Fairphone, which scored a perfect 10, HMD (9), and Nokia (8) had high scores among current phones. At the same time, Apple’s iPhone 16 line received a respectable 7. The Fairphone 5, launched in 2023, is especially notable for its repairability. According to iFixit, it’s easy to disassemble with common tools, the battery can be replaced quickly, and manuals and replacement parts are available to DIYers. As for the others, Ifixit gave Google’s Pixel 9 series a 5 for making it difficult to remove the battery and the USB-C port and requiring a replacement adhesive to secure the screen or back glass instead of using clips or fasteners. Meanwhile, the Samsung Galaxy S23 Ultra received a 4 because the battery is attached with a strong adhesive, and repairing the screen needs a lot of disassembly. All in all, we remain hopeful that with the EU’s lead, manufacturers can finally be encouraged to make repairing their devices easier than ever before. As technology continues to evolve—from the return of 'dumbphones' to faster and sleeker computers—seasoned tech journalist, Cedric Solidon, continues to dedicate himself to writing stories that inform, empower, and connect with readers across all levels of digital literacy. With 20 years of professional writing experience, this University of the Philippines Journalism graduate has carved out a niche as a trusted voice in tech media. Whether he's breaking down the latest advancements in cybersecurity or explaining how silicon-carbon batteries can extend your phone’s battery life, his writing remains rooted in clarity, curiosity, and utility. Long before he was writing for Techreport, HP, Citrix, SAP, Globe Telecom, CyberGhost VPN, and ExpressVPN, Cedric's love for technology began at home courtesy of a Nintendo Family Computer and a stack of tech magazines. Growing up, his days were often filled with sessions of Contra, Bomberman, Red Alert 2, and the criminally underrated Crusader: No Regret. But gaming wasn't his only gateway to tech.  He devoured every T3, PCMag, and PC Gamer issue he could get his hands on, often reading them cover to cover. It wasn’t long before he explored the early web in IRC chatrooms, online forums, and fledgling tech blogs, soaking in every byte of knowledge from the late '90s and early 2000s internet boom. That fascination with tech didn’t just stick. It evolved into a full-blown calling. After graduating with a degree in Journalism, he began his writing career at the dawn of Web 2.0. What started with small editorial roles and freelance gigs soon grew into a full-fledged career. He has since collaborated with global tech leaders, lending his voice to content that bridges technical expertise with everyday usability. He’s also written annual reports for Globe Telecom and consumer-friendly guides for VPN companies like CyberGhost and ExpressVPN, empowering readers to understand the importance of digital privacy. His versatility spans not just tech journalism but also technical writing. He once worked with a local tech company developing web and mobile apps for logistics firms, crafting documentation and communication materials that brought together user-friendliness with deep technical understanding. That experience sharpened his ability to break down dense, often jargon-heavy material into content that speaks clearly to both developers and decision-makers. At the heart of his work lies a simple belief: technology should feel empowering, not intimidating. Even if the likes of smartphones and AI are now commonplace, he understands that there's still a knowledge gap, especially when it comes to hardware or the real-world benefits of new tools. His writing hopes to help close that gap. Cedric’s writing style reflects that mission. It’s friendly without being fluffy and informative without being overwhelming. Whether writing for seasoned IT professionals or casual readers curious about the latest gadgets, he focuses on how a piece of technology can improve our lives, boost our productivity, or make our work more efficient. That human-first approach makes his content feel more like a conversation than a technical manual. As his writing career progresses, his passion for tech journalism remains as strong as ever. With the growing need for accessible, responsible tech communication, he sees his role not just as a journalist but as a guide who helps readers navigate a digital world that’s often as confusing as it is exciting. From reviewing the latest devices to unpacking global tech trends, Cedric isn’t just reporting on the future; he’s helping to write it. View all articles by Cedric Solidon Our editorial process The Tech Report editorial policy is centered on providing helpful, accurate content that offers real value to our readers. We only work with experienced writers who have specific knowledge in the topics they cover, including latest developments in technology, online privacy, cryptocurrencies, software, and more. Our editorial policy ensures that each topic is researched and curated by our in-house editors. We maintain rigorous journalistic standards, and every article is 100% written by real authors.