Is AI Really Intelligent? #shorts
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Image Recognition
Fishing out fake news using a deep-learning neural network
Researchers at the ABV-Indian Institute of Information Technology (IIIT), Gwalior, have developed a new artificial intelligence system that combines text analysis, image recognition and fuzzy logic to detect fake news in Indian media with high accuracy. The system, called F2IND-IT! (fuzzy fake Indian news detection using images and text), was described in a recent paper uploaded to arXiv. The researchers say the project addresses a growing challenge in India, where rapid internet penetration and social media use have accelerated the spread of misinformation. According to data from the Press Information Bureau, under the Ministry of Information and Broadcasting, 1,575 fake news cases were reported between 2022 and March 2025. The number rose from 338 in 2022 to 583 in 2024. Data from the National Crime Records Bureau also show a 214 per cent increase in fake news cases during the early pandemic period from 2018 to 2020. A 2024 study by ISB and CyberPeace found that 46 per cent of false information was about politics, and over 77 per cent of it spread through social media platforms. Another survey among Gen Z users in Delhi found that 91 per cent believe fake news can affect election outcomes. To tackle the problem, the researchers designed a multimodal AI model that analyses both the written content of news articles and the accompanying images. The framework uses DistilBERT — a lightweight language-processing model — to understand text semantics, while a convolutional neural network (ResNet-50), which is a deep-learning image recognition system, extracts visual features from photographs. These inputs are then combined using an ‘attention mechanism’ and processed through an adaptive neuro-fuzzy inference system (ANFIS), which produces a probability score indicating whether a news item is fake or genuine. The model was trained and tested on the Indian Fake News Dataset (IFND), which contains
Notre Dame researchers release open-source iris <b>recognition</b> tools built for NIST testing
Notre Dame researchers release open-source iris recognition tools built for NIST testing Researchers at the University of Notre Dame have developed a new open-source toolkit intended to make iris recognition technology more transparent, easier to test, and more accessible to academic researchers working outside the commercial biometric industry. The paper, Lowering the Barrier to IREX Participation: Open-Source Algorithms, Toolkit, and Benchmarking for Iris Recognition, presents two new iris recognition algorithms, along with open-source implementations designed to comply with the National Institute of Standards and Technology’s (NIST) Iris Exchange, known as IREX. The work is aimed at a long-standing gap in biometric testing, as NIST’s IREX program has largely evaluated closed-source commercial iris recognition systems rather than open academic tools. The researchers say that matters because iris recognition is increasingly used in security and identity systems, but many of the most capable algorithms remain proprietary, and that limits outside review, makes reproducibility difficult, and leaves researchers without a strong open baseline for comparing new methods. It also creates problems for forensic uses of iris recognition, where explainability and human interpretation can be important. The paper introduces two new neural-network-based methods. The first, called TripletIris, uses a ConvNeXt-tiny model trained with batch-hard triplet loss. In simple terms, the model learns to pull images of the same iris closer together in a mathematical feature space while pushing images of different irises farther apart. The second, called ArcIris, uses a ResNet100 model trained with ArcFace loss, a method designed to create clearer separation between identities. The researchers also created IREX-compliant C++ versions of two existing Notre Dame iris recognition methods. One, HDBIF, uses human saliency-driven filtering to encode iris texture. The other, CRYPTS, detects and compares Fuchs’ crypts, visible structures in the iris that can be useful in human-interpretable forensic analysis. CRYPTS is particularly
Facing Ukrainian AI Drones, russia Experiment with WWI Dazzle Camouflage on KamAZ ...
Ukraine's Defense Forces have been steadily disrupting russian logistics using drones equipped with advanced AI algorithms, including the Hornet system. That pressure appears to be pushing russian troops toward increasingly unconventional solutions. A photograph recently surfaced online showing a russian military KamAZ truck painted in a highly unusual pattern. At first glance, it resembles an attempt to imitate a zebra's stripes. In reality, it appears to be an effort to recreate so-called dazzle camouflage. Read more: How Many Pantsir Systems Has russia Placed on Moscow Rooftops to Protect Kremlin From Ukrainian Drones Dazzle camouflage was a highly specialized form of naval camouflage developed during World War I. It consisted of large, brightly colored, asymmetrical geometric shapes designed to break up a ship's recognizable outline. A famous 1918 photograph of several Town-class light cruisers demonstrates the effect particularly well. Unlike conventional camouflage, which is intended to conceal an object, dazzle camouflage was designed to make it difficult to accurately determine a target's course, speed, and distance. At the time, these parameters were measured using optical rangefinders. The technique was not limited to black-and-white patterns. It employed multiple colors as well as deliberately distorted light and shadow patterns to confuse observers. The goal was to interfere with both human perception and the operation of optical rangefinding equipment. For example, naval crews often had to align stereoscopic images or estimate a ship's height from the waterline to the top of its mast before identifying its class and calculating its position. Without accurate information on a vessel's type, speed, course, and range, it was impossible to generate reliable firing solutions for naval guns or torpedoes. In other words, dazzle camouflage was specifically designed to disrupt enemy targeting calculations. It could only be effective against large targets observed from considerable distances. Despite several experiments, the
Comprehensive Overview of the Four Key Deep Learning Algorithms! From CNN to Transfo...
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In this country, police are now patrolling with a wearable that scans plates and faces in real time
On Tianjin’s streets, patrol officers are slipping on smart glasses that read plates, parse text, and respond to voice, feeding data back in real time. A traffic stop near a school becomes a quick scan, while a patrol can match a lost elder to records in seconds. Officials tout sharper, faster policing, with high recognition rates and first-person design, even if the battery taps out after a couple of hours. Privacy advocates see something else entirely, warning this is one more layer in an expanding surveillance stack that could soon link up with drones and robots. A new tool in Tianjin’s streets On a busy corner in Tianjin, an officer scans the crowd through a new kind of lens. Smart glasses are sliding into daily policing, assisting with patrols, traffic control, and urban management. The promise is speed and precision. The worry is scope. According to China Daily, these devices are already in field use, stitching real-time information directly into an officer’s line of sight. - NASA confirms this giant Chinese dam is slowing Earth’s rotation by microseconds NASA confirms this giant Chinese dam is slowing Earth’s rotation by microseconds - Idris Elba finally answers the Bond question and says he was never in the running Idris Elba finally answers the Bond question and says he was never in the running What these glasses can do The system reads text, obeys voice prompts, and recognizes license plates, feeding back instant lookups from connected databases. For example, an officer can confirm an ID without stepping away or juggling a handheld terminal. That efficiency, impressive on paper, also heightens questions at street level: how much recognition is too much in public spaces, and who sets the guardrails? Practical benefits at work Early anecdotes focus on quick wins. Officers say the glasses helped
Digi Yatra crosses 10 crore journeys, set to expand to 27 more airports
- Aviation - 1 min read Digi Yatra crosses 10 crore journeys, set to expand to 27 more airports The app, which uses facial recognition for airport entry and boarding processes, is currently operational at 38 airports across the country. India’s biometric air travel platform Digi Yatra has crossed 10 crore passenger journeys, with more than 2.4 crore downloads across Android and iOS platforms, according to the Ministry of Civil Aviation. The app, which uses facial recognition for airport entry and boarding processes, is currently operational at 38 airports across the country. According to the ministry, Digi Yatra has reduced average passenger processing time at airport entry points from about 15 seconds to 5 seconds by replacing manual document checks. The system is aimed at easing passenger movement and reducing congestion at airport terminals amid rising domestic air traffic. According to the ministry’s statement, the government plans to extend the service to 27 additional airports by next year, including upcoming greenfield airports at Navi Mumbai, Jewar and Bhogapuram. “The scale of Digi Yatra’s adoption comes at a critical juncture. Daily domestic passenger traffic, which averaged below 2 lakh passengers in 2014, has now crossed the 5-lakh mark on numerous occasions over the last three years,” said Ram Mohan Naidu, Minister for Civil Aviation. The platform currently supports 11 languages, with plans underway to add 11 more regional languages by the end of the year. Digi Yatra follows a device-based data storage model, under which passenger information remains encrypted on users’ smartphones and is shared with departure airports for limited-duration identity verification. The government is also deploying other digital tools in aviation operations, including self-baggage drop systems, upgrades to air traffic control automation and AI-based airport management systems. Comments All Comments By commenting, you agree to the Prohibited Content Policy PostBy
Whale of a time: Humpbacks set new distance record
PARIS, France — Two humpback whales have set new records for the longest-known distances travelled for their species by embarking on a journey of over 14,000 kilometres between Brazil and Australia, scientists said Wednesday. The international team of researchers were able to piece together the separate odysseys from photos of the whales’ tails — including some taken by amateur photographers on cruises — captured decades apart. These journeys through open water are “something that had never been documented before”, Cristina Castro, a marine biologist at the Pacific Whale Foundation in Ecuador, told AFP. “It’s not unheard of for an individual to occasionally stray (from a migratory route), but what we documented here goes far beyond that,” added the lead author of a new study in Royal Society Open Science. Every humpback has a pattern on the underside of their tail — or fluke — that is unique “like a human fingerprint”, Castro said. The scientists analyzed more than 19,000 photos taken between 1984 and 2005 in eastern Australia and Latin America using an image recognition algorithm. Then they sifted through each potential match to trace the two whales’ journey across the world. The first humpback was initially photographed in 2007 in Hervey Bay, in the state of Queensland on Australia’s east coast. It was spotted at the same place again in 2013. Its unique fluke next popped up six years later — this time off the coast of the Brazilian megacity Sao Paulo. As the crow flies, this is a distance of around 14,200 km (8,800 miles). Because the scientists only know the start and end points of the journey, it was impossible to determine the whale’s exact route -- or how far it actually travelled. The second whale made the opposite journey. First it was photographed off the coast
TSA's New Signs At 250 U.S. Airports All Have The Same Complaints From Passengers And ...
Biometrics is not a new concept, but its use by the Transportation Security Administration (TSA) across an increasing number of airports in the United States is causing mixed reactions. Facial recognition software is becoming the norm at many major U.S. airports (more than 250 so far, according to the TSA, with more on the way), and not every traveler is on board. The signs alerting passengers to the TSA's biometric scan are, apparently, unclear, causing confusion and distrust among frequent travelers in some cases. Airport security can be stressful in itself, and now both TSA employees and travelers are sharing the same complaints about the use of somewhat invasive scans, the way they're communicated, and the process of opting out and not being allowed to (which, in 2025, sparked a whole investigation into the TSA by Congress). Facial Scan Signs At Hundreds Of U.S. Airports Create A Pattern Of Complaints The opinions about facial recognition software are overwhelmingly mixed. Even so, pressure from lawmakers is causing TSA and the U.S. Department of Homeland Security (DHS) to update airport technology, and biometrics seems to be the answer. To communicate this gradually rolling-out addition at airports, passengers are increasingly seeing signs pop up at TSA checkpoints, which indicate that facial recognition is in process—but that passengers can also opt out if they so desire. Therein lies travelers', as well as some TSA employees', pattern of complaints; reportedly, those signs cause some confusion on both sides. One TSA officer said that passengers often hand over their ID and avoid the camera, without informing them that they want to opt out of the facial scan. "The most consistently annoying thing is people just assuming we know they want to opt out. Just walk up and say, 'I’d like to opt out of the photo,'"
NAIPANOI LEPAPA - Project Profile: From Kosovo to Kenya
| Getting your Trinity Audio player ready... | This series was produced in partnership with the Pulitzer Center’s Artificial Intelligence (AI) fellowship. Following the 1999–2001 Kosovo crisis, Microsoft, in collaboration with Hewlett-Packard and Compaq, provided the United Nations High Commission for Refugees (UNHCR) with hardware and software to support a refugee mobile registration scheme that later informed the development of Project Profile. In 2002, the UNHCR launched Project Profile after its governing body, the Executive Committee of the High Commissioner’s Programme (ExCom), encouraged the standardisation of registration guidelines and the introduction of “new techniques and tools, including biometrics” as well as global software such as the UNHCR’s Profile Global Registration System (proGres). Microsoft provided technical advice and guidance on the technology specifications. The Elca Group, a Swiss company, won the tender to develop the global proGres database as part of Project Profile B. Elca was responsible for the development of the three versions of proGres (V1-V3), the UNHCR told vendors in 2013. Elca did not respond to a request for comment. According to various agency news briefs, the UNHCR and volunteers from Microsoft trained staff to use proGres, then primarily a registration tool for capturing biographical data and facial photographs, and helped set up the registration systems in several countries. The UNHCR did not provide a comment on who specifically deployed proGres, including in Kenya in 2004. proGres is built on Microsoft Dynamic Customer Relationship Management (CRM) software and is the backbone of the UNHCR’s operations, including registration, Refugee Determination Status (RSD), resettlement, and repatriation. “Thanks for checking in. The company has nothing to share,” was Microsoft’s response to The Elephant through its long-term partner We. Communications, a public relations and integrated marketing agency. A 2019 UN financial audit report states that proGres V3, an offline system of separate databases
10 Best AI Face Swap Tools & Apps in 2026 (Free & Paid)
There is something deep in our nature that is always fascinated by transformations. Artificial intelligence (AI) made it possible for just about anyone with internet access to instantly swap faces of people. And the results are now more realistic than they have ever been. By using the best AI face swap tools, the results are now more realistic than they have ever been. Whether you want to drop your face into a movie scene, create viral social content, or build personalized marketing campaigns at scale, the best AI face swap tools in 2026 can pull it off in seconds. This guide cuts through the noise and ranks the 10 best face swap AI options right now. Quick Comparison: Top Face Swap AI Tools by VentureBurn | Face Swap Tools | Supported Formats | Starting Price | Processing Speeds | Watermark on Free Plan | Best For | | JPG, PNG, WEBP, MP4, GIF | $9.99/month | Fast (< 10s photos) | Yes | Video face swap. | | JPG, PNG, WEBP, MP4 | Free plan, $5.99 | Fast (10-15 seconds) | No | Batch & Multi-Face Images | | JPG, PNG, MP4, GIF | Free, $3.99/week | Instant | Yes | Mobile face swap | | JPG, PNG, MP4 | Free, $6.90/month | Fast (5-10 seconds) | Yes | Quick & seamless photo swaps | | JPG, PNG, WEBP, MP4 | $9/month | Real time | No | Professional image optimization | | JPG, PNG, MP4, M4V | Free, $9.99/month | Medium | Yes | Corporate video editing | | JPG, PNG, MP4 | Free, $10/month | Fast (10 seconds) | No | Creative marketing | | JPG, PNG, WEBP | Free, $4.99/month | Medium (10-60 seconds) | Yes | Stylized images & avatars | | JPG, PNG, MP4 |
Digi Yatra crosses 10 crore journeys, set to expand to 65 airports by next year
NEW DELHI: Marking a major milestone for India’s digital public infrastructure, the Digi Yatra app has facilitated more than 10 crore seamless journeys across airports in the country. The facial recognition based system enables passengers to enter airports without the need for physical documents. According to an official release, the app has recorded more than 2.4 crore downloads across iOS and Android platforms since its launch. “The platform stands as one of the most successful digital innovations in global aviation today,” it said. By replacing manual document verification, the platform has reduced average airport entry processing time from 15 seconds to just five seconds per passenger. This faster throughput has significantly optimised terminal infrastructure, reduced congestion and minimised manual processing overheads. “Furthermore, by eliminating physical boarding passes, the initiative supports environmental sustainability by saving thousands of sheets of paper daily across participating airports,” the release added. Reflecting on the milestone, Civil Aviation Minister Ram Mohan Naidu said, “It reflects the growing trust passengers are placing in seamless, paperless and contactless travel. The scale of Digi Yatra’s adoption comes at a critical juncture. Daily domestic passenger traffic, which averaged below 2 lakh passengers in 2014, has now crossed the 5 lakh mark on numerous occasions over the last three years. “The annual passenger traffic across Indian airports is projected to reach 50 crore by 2030 and double to nearly 100 crore by 2040. To effectively manage this exponential growth, we are adopting multiple digital solutions such as Digi Yatra, Self-Baggage Drop Facility, augmentation of Air Traffic Control automation systems, the AirSewa portal for grievance redressal and AI powered digital twins to optimise airport operations.” Naidu added, “While many nations continue to evaluate the large scale deployment of biometric passenger processing, India has successfully operationalised and scaled Digi Yatra within a remarkably
<b>Facial recognition</b> technology proposed for local businesses
The Mandaue City Police Office, led by Col. Cirilo Acosta Jr., is urging the City Council to require local businesses to install high-definition CCTV cameras with facial recognition capabilities. The proposed ordinance amendments aim to improve criminal investigations by addressing low-quality security footage and establishing clearer, faster procedures for law enforcement to access private surveillance recordings. Mandaue City Mayor Thadeo Jovito “Jonkie” Ouano expressed support for the technology-driven initiative, while the City Council plans to conduct consultations to balance public safety with business interests. THE Mandaue City Police Office (MCPO) is urging the City Council to amend the City’s existing closed-circuit television (CCTV) ordinance to require business establishments to install high-definition surveillance cameras with facial recognition capabilities to strengthen crime prevention and improve criminal investigations. Col. Cirilo Acosta Jr., MCPO director, said the proposed amendments seek to modernize the city’s surveillance system and address recurring challenges investigators face when reviewing low-quality security footage from private establishments. Acosta said clearer and more advanced CCTV systems would significantly improve the ability of law enforcement agencies to identify suspects, reconstruct incidents and gather evidence during investigations. “The goal is to enhance public safety and make criminal investigations more efficient. Many cases could be resolved more quickly if authorities have access to high-quality video footage that clearly captures the identities of individuals involved,” Acosta said. Ordinance review The City Council is reviewing the proposal, with legislators checking the existing ordinance to determine the necessary amendments to strengthen its implementation. Under the proposed changes, business establishments throughout the city, particularly large commercial entities, must upgrade their security infrastructure to high-definition cameras with facial recognition technology. Police officials believe this technology enables investigators to identify persons of interest more rapidly and improves overall crime detection. Aside from upgrading camera standards, the proposal seeks to streamline police
How to Register New SIM Card Using Biometric <b>Recognition</b>
How to Register New SIM Card Using Biometric Recognition Reporter May 30, 2026 | 06:36 pm TEMPO.CO, Jakarta - Indonesia is set to roll out SIM (subscriber identity module) card registration using facial biometric recognition starting July 1, 2026, as confirmed by the Digital Ecosystem DG at the Ministry of Communication and Digital (Komdigi), Edwin Hidayat Abdullah. Consumers can purchase SIM cards at various offline stores or online shops. "You can purchase a phone number anywhere, either in a store or web-based (mobile operator)," Edwin said in a virtual press conference in Jakarta on Friday, May 29, 2026. After getting their new SIM cards, consumers can activate the card through the mobile operator's application. The consumer then enters their National Identity Number (NIK). "The next step differs for each mobile operator. Some use PUK (Personal Unlocking Key), some use numbers. After that, an OTP (One-Time Password) will be generated," he said. After, consumers will be directed to complete face recognition, which will then be verified by the Directorate of Population and Civil Registration (Dukcapil). If the facial accuracy is 96 percent with the NIK identity, the verification process will be completed. "Then a notification will appear, showing that the verification is complete," Edwin said. Edwin claimed that the registration process takes an average of less than 1 minute, based on trials conducted by Komdigi. "I have observed hundreds of processes across various regions starting from Jakarta, Java, Central Java, East Java, West Java, Sumatra, West Sumatra, Aceh, Kalimantan," he said, citing Yogyakarta as the region with shortest processing time. Approximately 1.6 to 1.7 million users have used this technology since the trial began in January 2026. According to Edwin, three mobile operators have implemented the facial recognition system during the trial period, namely Telkomsel, Indosat, and XLSmart. Based on consumer
ICE agents use <b>facial recognition</b> app in Oregon arrests, body camera footage shows
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ICE to keep an eye on your eyes under $25M biometric scanner deal
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Researchers Evaluate Quantum And Classical Models Achieving 90 Per Cent Digit ...
A thorough comparison of classical and quantum machine learning models using the MNIST dataset reveals key differences in performance. Sudip Vhaduri and colleagues at University of Alabama evaluated accuracy, runtime, parameter count, and memory requirements across varying feature dimensions and sample sizes. The findings demonstrate that quantum support vector machines consistently achieve higher accuracy than classical support vector machines. Furthermore, quantum convolutional neural networks exhibit sharply improved parameter and memory efficiency, requiring up to 94% fewer parameters and 75% less memory, although with increased runtime. This multidimensional benchmarking study highlights the potential for quantum models to outperform classical models, particularly with higher dimensionality or larger datasets, and provides valuable insights into practical operating parameters for quantum machine learning. Quantum neural networks exhibit substantial gains in parameter efficiency and classification Quantum Convolutional Neural Networks (QCNNs) now require approximately 94% fewer parameters and 75% less memory than Classical Convolutional Neural Networks (CCNNs) at higher feature counts, a reduction previously unattainable with classical deep learning approaches. This efficiency unlocks the potential for deploying complex image recognition models on resource-constrained devices, overcoming a significant barrier in fields like automated transport and cybersecurity. Achieving comparable classification accuracy exceeding 0.96 with 64 features and 60,000 samples, the QCNN’s reduced memory footprint represents a substantial advancement in model scalability. The MNIST dataset, comprising 70,000 labelled grayscale images of handwritten digits, served as the benchmark for this comparison. Classical convolutional neural networks typically rely on numerous weighted connections between layers, leading to a high parameter count and substantial memory requirements, particularly when dealing with high-resolution images or complex feature extraction. QCNNs, leveraging principles of quantum superposition and entanglement, represent data in a fundamentally different way, allowing for a more compact and efficient representation. This is achieved through the use of quantum circuits that perform operations on qubits, the
When Dating Photos Become AI Data: Why LGBTQ+ Dating Needs a New Privacy Standard
SAN FRANCISCO, CA, May 30, 2026 /24-7PressRelease/ -- In March 2026, the U.S. Federal Trade Commission alleged that OkCupid gave a third-party facial-recognition company access to nearly three million user photos, along with location and other personal information, without properly informing users or giving them a meaningful chance to opt out. For the dating-app industry, that should be a breaking point. For LGBTQ+ users, it is more than another privacy scandal. It is a warning. A dating profile is not ordinary data. It can contain a face, a location pattern, a sexual orientation, a private conversation, a hidden identity, a health disclosure, a social risk, a family risk, or even legal risk. In the wrong hands, it can become evidence. It can become leverage. It can become exposure. That is the reality u2nite was built to confront. Developed by Wildtrolls Ltd. & Co. KG in Munich, u2nite is a privacy-first LGBTQ+ dating and social app designed for people who want connection without becoming part of a hidden data economy. Its core idea is simple: your identity should never become a product. The problem is not theoretical. In recent years, dating apps have moved from being social tools into data-rich identity platforms. They know who people are attracted to, where they move, when they are active, who they contact, what they share, and sometimes what they fear revealing publicly. That kind of information is powerful. It is also dangerous. The OkCupid case is especially significant because it connects dating privacy directly with facial recognition and AI. Photos uploaded for connection were allegedly made available to a company working in biometric technology. Whether such data is used for AI training, identity analysis, analytics, research or other commercial purposes, the core question remains the same: did the user truly understand where intimate data
Yoti challenges academic research, invites independent audit of age assurance platform
Yoti challenges academic research, invites independent audit of age assurance platform Yoti has publicly challenged research presented by academics from the Georgia Institute of Technology and the University of California, Irvine, and invited an independent cybersecurity audit of its age assurance platform in an effort to rebut claims about how it handles user data. The dispute highlights growing scrutiny of age assurance technologies as governments increasingly require age checks for access to online content and services. It also marks an unusual move by a leading provider, which is responding to criticism not only with public rebuttals but by offering independent verification of its systems. Researchers presenting at the IEEE Symposium on Security and Privacy argued that Yoti’s age verification process transmits personal information to third- and fourth-party companies, including credit card providers, geolocation services and data brokers. An article from the blog of Georgia Tech’s College of Computing summarizes: “The researchers found that the information being shared can be used to identify and track devices. For example, a single verification attempt may transmit a user’s facial image, IP address, and device fingerprint to credit card companies.” Yoti CEO Robin Tombs rejected those claims in an open letter, calling allegations that facial image data is shared with third parties “wholly false.” Rather than limiting its response to public criticism, Yoti has challenged the researchers to nominate an independent cybersecurity expert to review the company’s technology and verify how user data is handled. Yoti says claims are ‘wholly false’ “The allegation that Yoti’s age verification platforms transmits facial image data to any third party is wholly false,” says Yoti CEO Robin Tombs, in an open letter that calls for a redaction of the articles in which the claim is made, and a public apology from the two U.S. schools. “Our systems are
Only People With Elite <b>Pattern Recognition</b> Can Solve This Color Puzzle Called Huedoku
BuzzFeed GamesOnly People With Elite Pattern Recognition Can Solve This Color Puzzle Called HuedokuHuedoku #33! It’s Friday — go out on a high note. 🌈🎉Posted 7 hours agocommentFacebookPinterestLinkby Crystal RoBuzzFeedBuzzFeed StaffHi, I’m Crystal, a Senior Editor based in Los Angeles and creator of BuzzFeed’s “That Got Dark” newsletter. Huedoku is a daily color puzzle with simple rules and a satisfying solve. It's like sudoku, but with colors instead of numbers. Sign up here to get notified every time we publish a new Huedoku! Have a great weekend — Huedoku #34 drops Monday! 🌈 🌈 New Huedoku drops every weekday at 4:00 a.m. PT / 7:00 a.m. ET. 🧩🗂️ Huedoku Archive — Every past puzzle, all in one place! Comments Comments