Tinder and Zoom offer 'proof of humanity' eye-scans to combat AI - Published Tinder will let users prove they are human and not robots by bringing advanced eye-scanning technology to the app amid rising fears over AI. Users of the dating app, as well as other major platforms such as video calling service Zoom, will be able to scan their irises to earn a "proof of humanity" badge attached to their profile or name. Through either an online app or an orb-shaped scanning device run by the World network people can submit to a scan of their iris, the coloured portion of the eye, in order to confirm they are human. World, formerly known as Worldcoin, is part of Tools for Humanity, a start-up co-founded and chaired by Sam Altman who is also the head of ChatGPT-maker OpenAI. Once a person is confirmed as human by the technology they receive a unique identification code which is stored on their smartphone and considered their World ID. A new World ID app, as well as the partnerships with Tinder and Zoom, were revealed during a live event in San Francisco on Friday. It began with a video projected on several large screens in a small auditorium depicting several famous journalists, including Walter Cronkite, Dan Rather, and Larry King, as well as former President Ronald Regan. All of the men were shown using historic video footage that had been altered using AI to have them appear to be realistically discussing the need for a way to identify who is human on the internet. Altman took the stage briefly after the deepfake montage to applause from an audience of a few hundred people. He said there will soon be "more stuff made by AI than is made by humans" online. "I'm not afraid for
Apr 17, 2026 · via bbc.co.uk
While this may not come as a surprise to everyone—especially those who follow developments in tech forums—it remains an important issue that continues to raise concerns. Over the past few years, discussions have highlighted a critical vulnerability in some smartphones: the ability to unlock certain Android devices using nothing more than a simple 2D photograph printed on paper. A survey conducted by Which?, and widely circulated on social media, found that several well-known smartphone brands—including Samsung Galaxy Series, Motorola, Xiaomi, Vivo, Honor, Nokia, and Oppo—were susceptible to this method. In these cases, the facial recognition systems could be tricked by a low-resolution image, suggesting that not all implementations of this technology are equally secure. This raises serious concerns about the reliability of basic facial recognition systems, particularly when they rely solely on 2D image matching rather than more advanced sensing techniques. In contrast, Apple iPhone devices performed significantly better in the same tests. Apple’s Face ID uses a more sophisticated approach, employing infrared sensors and structured light to create a detailed 3D depth map of a user’s face. This depth-based analysis makes it far more difficult for attackers to bypass the system using flat images or simple replicas. As a result, these devices were rated as more secure in terms of biometric authentication. For Android users who rely heavily on facial recognition to protect their data, this finding is worth serious consideration. Many people assume that biometric locks automatically guarantee a high level of security. However, if a device can be unlocked with a printed photo, sensitive information stored on the phone becomes vulnerable. This risk becomes even more significant when financial applications are involved. Consider a scenario where a user stores payment details in a digital wallet like Google Pay. If an attacker gains access to the phone through
Apr 17, 2026 · via cybersecurity-insiders.com
More than 25 years after its founding, the site has evolved into the internet’s leading platform for artists to grow and monetize their audience. If you spend much time online — especially around Gen Z — you may have noticed that Y2K internet culture is having a moment. Scrolling fatigue, coupled with a reliable nostalgia factor, has sparked a return to the user-generated, creator-centric format and aesthetics of the Blogosphere and early social media. Launched in 2000, DeviantArt is to many an avatar for this era and synonymous with Web 2.0’s niche subcultures. But in 2026, DeviantArt is more accessible, widely used, and creator-friendly than ever before. After a period of network decline through the 2010s, the platform underwent a multi-year overhaul to modernize its user experience and strengthen its core offerings. As a result, usership has been on a steady rise since 2019; DeviantArt now boasts more than 108 million users worldwide. The site calls itself a home for artists of all kinds, with more than 100 million new artworks across 150 distinct artistic genres and categories uploaded in 2025 alone. The bottom line: Whether you’re a creator, a collector, or a seller, your peers are on DeviantArt. This resurgence is undoubtedly driven in part by DeviantArt’s robust creator-first functionality. DeviantArt’s Protect feature uses state-of-the-art image recognition to help safeguard creators’ work against unauthorized use, and the platform employs a dedicated team to investigate and mitigate the impact from spam, scams, fraud, and other bad actors. As of 2019, DeviantArt is also completely free of third-party ads, unlike other mainstream social media platforms whose business model relies on virality and advertising revenue. Dropping ads wasn’t merely an aesthetic choice, though. One of the most significant shifts driving the modern DeviantArt user experience is a revamped monetization model that shifts
Apr 17, 2026 · via artnews.com
Abstract “Data hugging” blocks independent verification of medical AI. Apple claims age estimation with a mean absolute error of 2.9 years using photoplethysmographic (PPG) signals. Given PPG’s noise, such accuracy is questionable, raising concerns about other tech companies’ claims. Using UK Biobank data, we find this accuracy unreplicable, achieving results only marginally better than predicting mean age. We advocate for curated public benchmark datasets and evaluation platforms to protect the public from unverifiable claims. Similar content being viewed by others Introduction “Water, water everywhere, nor any drop to drink” from The Rime of the Ancient Mariner, by Samuel Taylor Coleridge, nicely describes almost every academic AI health researcher’s challenges with access to data. Medical AI has always promised to revolutionize healthcare, from early disease detection to personalized treatment, but its success hinges on robust evidence and public trust. Yet today, many cutting-edge health AI models are developed behind closed doors on proprietary datasets, precluding independent verification. Data and code sharing is remarkably scarce in medical AI literature: a recent systematic review of 1342 studies of AI in critical care found that 85% of studies did not make their datasets available, and 87% of studies did not provide relevant code1. Such widespread absence of transparency and reproducibility impedes external validation, hampers cumulative scientific progress, and, as we show here, leads us to believe we are safer than we are. Several high-profile failures of prominent AI algorithms have already surfaced: Epic’s widely used sepsis prediction algorithm was shown to have poor performance on external retrospective validation, after it had already been deployed in hospitals across the United States2. Likewise, Philips recently issued a Class I software correction for its outpatient telemetry monitoring service when the algorithm failed to transmit ECG alerts for atrial fibrillation and ventricular tachycardia, contributing to two patient deaths
Apr 17, 2026 · via nature.com
Her movements were tracked, over and over. When she sat down. When she ordered a drink. When she went to the bathroom. When she took the elevator. Nina Richards went to New York Knicks games quite a bit, and the security forces at Madison Square Garden used the arena's network of cameras to follow her. New Yorkers have known for a long time that going to a game or concert at the Garden meant surrendering some privacy. That, as you watched the show, the Garden in a real sense watched you. Since 2018, there have been reports of the venue deploying face-recognition technology in what critics believe are increasingly intrusive ways. Owner James Dolan has watch lists of basketball fans who have dared criticize his management. He keeps a close eye on his other venues too, including Radio City Music Hall and the Sphere in Las Vegas. Last March, Dolan’s security team blocked a graphic designer from seeing a concert; the designer, years earlier, had printed and sold a half-dozen T-shirts reading “Ban Dolan.” He has locked out whole firms’ worth of lawyers, even keeping out a mom who was trying to take her 9-year-old Girl Scout to a Christmas show at Radio City Music Hall; the mom’s coworker had pissed him off. But the true extent of Dolan’s panopticon has only been caught in glimpses. A 2025 lawsuit by a former member of the MSG security team lifted the veil, just a bit. We started our own digging into the Garden's operations. We discovered that Dolan’s security teams obsessively tracked Nina Richards, a trans woman, over a two-year period, monitoring her movements through the venue down to the second. (WIRED is using a pseudonym in this article out of respect for her privacy.) Dolan's biometric surveillance is so extensive
Apr 17, 2026 · via wired.com
Facebook is trying out a new approach to get people to share more content, with users in the U.K. now able to opt into a process that will recommend photos to share from users’ camera roll and provide suggestions for edits, collages, etc. The new feature, which people will have to opt in to use, will enable Meta’s system to scan the camera roll on a users’ device to access their images. It will then recommend collections, like travel collages and recaps, that the user can post to the main feed or Stories. Letting Meta scan all the images on a device may not be exactly what people want. But it sure is something. As explained by Meta: “Many people capture life’s moments but rarely share them — whether it’s because they don’t think their photos or videos are ‘shareworthy,’ or because they simply don’t have time to create something special. With your permission, this opt-in feature analyses media in your camera roll to find standout moments — the memories that can get lost among screenshots, receipts and random snapshots.” The tool will also recommend creative edits and generate videos from camera roll content in order to help users create stand-out content. “You may see these recommendations appear in Stories, Feed and Memories (a Facebook bookmark) for you to review privately before deciding what to share,” Facebook said. “You can manage or disable the feature at any time in your Facebook camera roll settings.” Yeah, it sounds a little bit creepy, and a little bit intrusive, and it’s unlikely many Facebook users will be overly keen to set Meta’s crawlers free in their camera roll, even with the assurance that they’ll always be asked to provide consent for any image sharing. Facebook experimented with something similar in the U.S. last
Apr 17, 2026 · via socialmediatoday.com
In summary: - Tech Advisor reports that 64% of smartphones tested since 2022 have facial recognition easily fooled by a simple 2D photo, affecting major brands like Samsung, Motorola, and Oppo. - This security flaw exposes personal data including photos and emails, though it cannot approve mobile payments or access high-security features like Samsung Wallet. - Users should opt for PINs or fingerprint systems instead, as Google Pixel and Apple iPhone models with 3D facial recognition offer better protection. UK-based consumer choice organisation Which? has highlighted a shocking shortfall in security that affects almost two-thirds of modern smartphones. Which? reports that of the 208 phones it has tested since 2022, a staggering 133 (that’s a clear majority of 64%) could have their facial identification systems fooled by a simple 2D photo. The list of brands that fell foul of this crude bypass method is extensive, including Asus, Fairphone, Honor, HMD, Motorola, Nokia, Nothing, OnePlus, Oppo, Realme, Samsung, Vivo and Xiaomi. While the report points out that budget and mid-range models are the main weak points here, it’s not exclusively a cheap phone problem. Flagship handsets such as the Oppo Find X9 Pro, the Motorola Razr 50 Ultra, and the Samsung Galaxy S25 range all failed the test. The year 2024 was particularly bad in their reckoning, with 72% of the phones tested falling foul of the 2D photo hack. Android models that did pass this test include recent Google phones, such as the Google Pixel 10, Pixel 9, and Pixel 8, as well as the recent Samsung Galaxy S26 series. Apple’s iPhone range obviously passes with flying colours, having pioneered proper 3D facial recognition technology. The likes of the Honor Magic 8 Pro (pictured below), meanwhile, is one of precious few phones to adopt a similarly advanced biometric system. Chris
Apr 17, 2026 · via techadvisor.com
Instagram
Log In
Sign Up
Apr 17, 2026 · via instagram.com
Iowa State University researchers are developing an AI-powered pest identification app designed to put fast and reliable answers directly into farmers’ hands. The tool uses image recognition to identify insects, weeds and diseases, helping users take action earlier and potentially reduce crop losses. The research team consists of five Iowa State researchers and three international researchers. Iowa State researchers: - Arti Singh, leader of the BRIDGE project and associate professor of agronomy, management team for the AI Institute for Resilient Agriculture - Baskar Ganapathysubramanian, Joseph and Elizabeth Anderlik professor in engineering, director of the AI Institute for Resilient Agriculture, associate director of the Translational AI Center - Daren Mueller, professor of plant pathology, entomology and microbiology - Soumik Sarkar, Walter W. Wilson faculty fellow in engineering, director of the Translational AI Center, associate director of the AI Institute for Resilient Agriculture - Asheesh K. Singh, the G.F. Sprague chair in agronomy, management team for the AI Institute for Resilient Agriculture International researchers: - Alka Arora, Indian Council of Agricultural Research - Scott Chapman, University of Queensland, Australia - Masayuki Hirafuji, University of Tokyo, Japan Singh explained how this AI project for crop disease identification began and how it has evolved. “The project started in 2014, intending to use AI to identify and classify diseases in crops,” Singh said. “Over the past decade, it has grown significantly, culminating in a $20 million AI institute grant in 2021. Along the way, we expanded beyond disease detection to include insect identification.” Muller described the problem in agriculture that the app is trying to solve. “Farmers and agronomists often struggle with accurate identification of pests in the field because traditional approaches rely on personal experience, printed guides or sending samples to the lab,” Muller said. “These methods are slow and sometimes inconsistent. The goal
Apr 16, 2026 · via iowastatedaily.com
Is YOUR phone safe? Facial recognition on 21 popular devices can be easily spoofed with printed photos, tests reveal – so, is yours on the list? Facial recognition might seem like one of the safest ways to keep your phone secure, but experts say your device might be easy prey for hackers. Which? research has revealed that 60 per cent of popular mobile phones can be easily fooled with printed photos. This includes devices from several big brands including Motorola, Nokia, Nothing, OnePlus, and Fairphone. Even top–of–the–range flagship models, such as the £1,099 Oppo Find X9 Pro, mistook pieces of paper for real human faces. Which? warns that thieves could use this weakness to read your emails, reset passwords for sensitive accounts, access your pictures, and even view your Google Wallet history. Lisa Barber, Which? Tech Editor, says: 'In this age of cutting–edge technology it almost seems unbelievable that phone cameras could be fooled by a printed photo – and yet they can be. 'The majority of Android phones we've tested in the last four years can be easily unlocked using a 2D image, and some manufacturers are still failing to adequately warn their users that this is the case. 'We'd urge affected users to set up alternative methods of security, like a fingerprint or a PIN, which are much more secure.' Which? has warned that 60 per cent of popular phones have facial recognition that can be tricked by a printed photograph, including top–of–the–range devices like the OnePlus Nord 3 (pictured) Which? has tested 208 phone models released since October 2022, 133 of which could be fooled by a simple photo. And this problem isn't necessarily improving as phone technology gets better each year. In 2024, a staggering 72 per cent of phones tested failed to detect a printout
Apr 16, 2026 · via dailymail.co.uk
Premium mobile phones can be unlocked using a photograph of the owner, research has shown. Top-of-the-range devices from Samsung, Motorola and Oppo had their facial recognition security feature easily spoofed, Which? said. A total of 133 models were tricked by the consumer group into opening with a 2D picture, including the Samsung Galaxy S25 (£800), Oppo Find X9 Pro (£1,099), Motorola Razr 50 Ultra (£999) and Oppo Find X9 (£899). Other models from Asus, Fairphone, Honor, HMD, Nokia, Nothing, OnePlus, Realme, Vivo and Xiaomi also failed the test. All were Android devices. Apple’s Face ID remained secure. The three newest Google Pixel models and Samsung Galaxy S26 series were not spoofed by a photo. Basic 2D face-check systems work by using the front camera to take a picture and comparing it with the image saved on set-up. If it is similar enough, the phone unlocks. Apple, Google and some Android phone makers use a 3D face-check system that maps the shape of your face by projecting thousands of invisible dots on to it to measure the depth, contours and structure. That makes it harder to spoof using a photo. Some phones using 2D technology warn users about the weakness of the system. However, Motorola, OnePlus and Nothing were highlighted for failing to do so. Which? said warnings should be prominent during the set-up process rather than “buried” in terms and conditions or another link. The group said Motorola had released 27 phones since 2022 that could be unlocked with a 2D photo or by someone resembling the owner. Lisa Barber, tech editor at Which?, said: “It almost seems unbelievable that phone cameras could be fooled by a printed photo — and yet they can be.” Which? recommends switching to a fingerprint or six-digit PIN if there is a 2D unlocking
Apr 16, 2026 · via thetimes.com
Facial recognition security fooled by photo on majority of Android phones A major security investigation has revealed that six in 10 Android smartphones can be tricked into unlocking using a simple 2D printed photograph. The UK’s consumer association Which? conducted extensive lab testing on 208 mobile phone models since October 2022, finding that a staggering 133 devices (64% of those tested) failed to distinguish between a real human face and a flat image. The flaw primarily affects devices that rely on standard 2D facial recognition systems. Unlike more sophisticated technology, these cameras capture a flat image that lacks depth perception, making it impossible for the software to distinguish between a high-resolution photo and a living person consistently. The failure rate has fluctuated significantly over recent years. While 53% of phones failed in 2023, that figure spiked to 72% in 2024, before settling at 63% in 2025. The list of vulnerable handsets includes high-end flagship models that retail for over £1,000, such as the Motorola Razr 50 Ultra and the Oppo Find X9 Pro. Samsung’s former flagship range, the Galaxy S25 series, also fell victim to the photo spoofing test. However, there are signs of improvement in the latest hardware. Apple’s Face ID and the new Samsung Galaxy S26 series successfully passed the tests by using 3D mapping technology, which projects thousands of invisible dots to create a complex depth map of the user’s face. Which? raised particular concern regarding manufacturers that fail to provide “adequate” warnings about these security limitations during device setup. Motorola, OnePlus, and the newer brand Nothing were singled out for either burying warnings in terms and conditions or failing to provide them prominently. “In this age of cutting-edge technology, it seems unbelievable that phone cameras could be fooled by a printed photo – and yet they
Apr 16, 2026 · via techdigest.tv
Woman Wrongly Jailed for Months Based on Faulty Facial Recognition Technology Demands Apology from Maryland Police Departments MARYLAND — Today, the American Civil Liberties Union and ACLU of Maryland sent letters to three Maryland police departments on behalf of Kimberlee Williams, an Oklahoma woman who was wrongfully arrested because Maryland police relied on an incorrect result from facial recognition technology and concealed their reliance on that unreliable technology from the court when applying for arrest warrants. Ms. Williams is the fourteenth person publicly known to have been wrongfully arrested by U.S. police because of reliance on erroneous facial recognition results. “I lost six months of my life when Maryland police wrongfully imprisoned me halfway across the country from my children, my home, and my job, all because they relied on an incorrect result from faulty technology,” said Kimberlee Williams. “I had never even been to Maryland before I was flown there in handcuffs, for a crime I had nothing to do with. My family and I can’t get that time back, but I hope my experience will be a warning to police in Maryland and across the country that this technology can ruin lives. No family deserves to go through that.” On June 23, 2021, Ms. Williams was accompanying one of her daughters, a DoorDash driver, as she made a delivery to a local military base in Lawton, Oklahoma. When base security conducted a standard ID check, they discovered an outstanding Maryland arrest warrant for Ms. Williams, detained her, and called local police, who arrested her. Ms. Williams spent 23 days in an Oklahoma jail before a Maryland officer arrived to transport her to a jail in Montgomery County, Maryland, where she was imprisoned for over three months while she fought to show she couldn‘t have committed a crime in
Apr 16, 2026 · via aclu.org
ACLU calls for policy review after Maryland police used faulty facial recognition scan to wrongfully imprison Oklahoma woman for six months The American Civil Liberties Union and ACLU of Maryland on Tuesday sent letters to three law enforcement agencies in Maryland calling for them to publicly apologize to Kimberlee Williams, a white Oklahoma woman who claims she was wrongfully arrested in 2021 after Maryland police relied on an unverified facial recognition scan conducted by an unknown third party to identify her as a criminal suspect. The letters, which are individually addressed to Montgomery County Police Department, the Anne Arundel County Police Department and the Prince George’s County Police Department, claim that Maryland police investigators relied on an incorrect result from facial recognition system to get a warrant for Williams’ arrest. The letters allege that investigators concealed their reliance on the technology from the court when applying for arrest warrants, and that as a result, Williams spent six months in jail for a crime she did not commit, in a state she had never visited. The letters argue that police must stop treating facial recognition as reliable evidence, and adopt stricter safeguards to prevent similar wrongful arrests. According to the ACLU, Williams was arrested while accompanying one of her daughters, a DoorDash driver, as she made a delivery to a military base in Lawton, Oklahoma, on June 23, 2021. When military police conducted a standard ID check at a base checkpoint, they discovered Williams had an outstanding arrest warrant in Maryland. The military police detained her and then called the local police, who arrested her. Williams said she spent 23 days in an Oklahoma jail before an officer from Maryland arrived to transport her to a jail in Montgomery County, Maryland. The letters state that when she arrived in to the
Apr 16, 2026 · via statescoop.com
Abstract Mainstream real-time object detectors, like the YOLO series, balance speed and accuracy but are bottlenecked by Non-Maximum Suppression (NMS) for post-processing. While end-to-end Transformer-based detectors show potential by eliminating NMS, their high computational cost impedes real-time application. Concurrently, alternatives like DECO, using a pure convolutional framework, are hampered by local receptive fields, limiting global context modeling and limiting the accuracy on lightweight models. To address this, we introduce HA-DETR, a Hybrid Architecture DETR fusing the local feature extraction of convolutions with the global context modeling of Transformers, particularly effective in resource-constrained scenarios. HA-DETR uses an efficient multi-scale encoder and an effective hybrid decoder that integrates convolutional query refinement with cross-attention to accelerate predictions. This hybrid design, however, exacerbates a training dynamic mismatch. To mitigate this, we propose the Decoupled Gamma Loss (DGL), which introduces independent modulating factors, \(\gamma _{pos}\) and \(\gamma _{neg}\), to alleviate sample imbalance from disparate convergence rates of the hybrid components. Experiments validate our method. On the COCO dataset, our lightweight HA-DETR-R18 achieves 48.4 AP at 68 FPS on a V100 GPU, surpassing RT-DETR-R18 by 1.9 AP with a 13% speedup and outperforming DECO-R18 by 7.9 AP. Our work provides a competitive architectural alternative for efficient and accurate real-time object detection. Similar content being viewed by others Data availability No datasets were generated or analysed during the current study. References Chen, X., Ma, H., Wan, J., Li, B. & Xia, T. Multi-view 3d object detection network for autonomous driving. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, 1907–1915 (2017). Ess, A., Schindler, K., Leibe, B. & Van Gool, L. Object detection and tracking for autonomous navigation in dynamic environments. Int. J. Robot. Res. 29, 1707–1725 (2010). Redmon, J. You only look once: Unified, real-time object detection. In Proc. IEEE Conference on Computer Vision and
Apr 16, 2026 · via nature.com
By Allegra Harpootlian, senior communications strategist, ACLU Today it is easier than ever for the U.S. government to spy on us and access our private data. Whether it’s using license plate readers to track protestors’ movements, faulty facial recognition software to check people’s immigration status, or buying our data in bulk to avoid getting a warrant, federal, state, and local government are repeatedly violating our rights in an effort to scoop up as much information about us as possible. Without safeguards, federal agencies will continue to exploit their partnerships with tech companies to sow fear and violate our rights, which is why the ACLU is advocating for Congress to pass legislation that would protect our privacy in the digital age. These bills include the ICE Out of Our Faces Act, which would ban ICE and other immigration agencies from buying, acquiring, or using facial recognition software and the Fourth Amendment Is Not For Sale Act, a bipartisan bill that would ban the government from buying our data from Palantir and other companies without a warrant. To pull this dystopian Big Brother act off, the U.S. government needs us to feel powerless. But we can all push back against this unjust surveillance in the streets, the courtroom, city hall, and our art. Matthew Libby, the creator of a new off-Broadway play called “DATA,” is using theater to fight against the surveillance state. He became inspired to write the play after seeing how Big Tech companies are used to supercharge President Trump’s deportation agenda. Below, we discuss how “DATA” pushes back against public-private surveillance partnerships, and how we should all speak out against this obscene government overreach. Allegra Harpootlian: How did this play come about? What made you want to focus on privacy and surveillance? Matthew Libby: The play grew out of
Apr 16, 2026 · via acluga.org
On Wednesday shareholders in Thomson Reuters demanded the company’s board launch an investigation into whether its products have contributed to human rights violations, specifically with regards to Thomson Reuters’ ongoing sale of peoples’ personal data to Immigration and Customs Enforcement (ICE). Thomson Reuters sells access to the CLEAR investigative database, which can include peoples’ names, addresses, car registration information, Social Security numbers, and details on someone’s ethnicity. 404 Media has repeatedly shown how CLEAR is integrated with ICE tools, including one ICE uses to find neighborhoods to target. The move is the latest piece of growing pressure against the company concerning its contracts with ICE and the Department of Homeland Security (DHS). It follows an internal protest in which more than 200 Thomson Reuters employees sent leadership a letter expressing their concern with those contracts. As 404 Media reported on Tuesday, Thomson Reuters fired the worker who led that effort, according to a newly filed lawsuit. “Shareholders request the Board commission an independent human rights impact assessment evaluating the extent to which TRI’s [Thomson Reuters] products may contribute to adverse human rights impacts when used by law enforcement agencies, including when TRI’s products are combined with other surveillance technologies,” the shareholder proposal, written by the B.C. General Employees’ Union (BCGEU) and viewed by 404 Media, reads. BCGEU is a minority shareholder in Thomson Reuters. “The assessment should address reasonably foreseeable risks arising from aggregated or integrated use of surveillance tools by law enforcement or immigration authorities and recommend measures to mitigate such risks,” the proposal adds. It asks that any produced report “be publicly available, subject to confidentiality and competitive considerations.” The proposal repeatedly cites 404 Media’s investigations. In January 404 Media revealed the existence of a Palantir-made tool called Enhanced Leads Identification & Targeting for Enforcement or ELITE. That
Apr 16, 2026 · via 404media.co
Image Recognition Market Future Scope, Growth Drivers, Trends, Strategic Insights, Advance Technology And Opportunities To 2031 Google (US), Qualcomm (US), Oracle (US), IBM (US), AWS (US), NVIDIA (US), Huawei (China), NEC Corporation (Japan), Microsoft (US), Hitachi (Japan). The Image Recognition Market [https://www.marketsandmarkets.com/Market-Reports/image-recognition-market-222404611.html?utm_source=abnewswire.com&utm_medium=referral&utm_campaign=image-recognition-market] was estimated to be worth USD 55.28 billion in 2025, indicating an increasing emphasis on organized data protection methods by enterprises. By 2031, the market is expected to reach USD 127.02 billion, expanding at a compound annual growth rate (CAGR) of 14.9%. The development and consumption of digital photos and videos have significantly increased due to the widespread use of smartphones with high-quality cameras, which is anticipated to fuel the expansion of the worldwide image recognition market. As companies depend more and more on photos and visual data in their day-to-day operations, the market for image recognition is expanding. Image recognition is being used by businesses across all sectors to recognize items, evaluate images and videos, and enhance decision-making. Download PDF Brochure@ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=222404611 [https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=222404611&utm_source=abnewswire.com&utm_medium=referral&utm_campaign=image-recognition-market] The image recognition market is expected to grow steadily as organizations depend on digital data, which, in turn, increases face and operational challenges. Enterprises are focusing on protecting visual and image data while ensuring systems can recover quickly in the event of failures or cyber incidents. The growing use of cloud platforms is increasing the volume and spread of image data across organizations, making consistent protection and management more important. Regulations across industries are also pushing companies to adopt reliable systems that ensure data safety and continuity. At the same time, rising cyber threats, including ransomware, are driving the adoption of secure, tamper-resistant technologies. Service providers are improving automation and reliability to help organizations operate more efficiently. Together, these factors are driving sustained demand for image recognition solutions across global enterprise markets. The service
Apr 16, 2026 · via openpr.com
USAG BAVARIA - HOHENFELS, Germany -- Seth Kloss, director of Family and Morale, Welfare and Recreation, thanks volunteers of the Hohenfels community. Leadership from U.S. Army Garrison Bavaria and the Joint Multinational Readiness Center took time to honor the dedication of volunteers in the Hohenfels community during a ceremony April 14, 2026 at the Community Activity Center. (U.S. Army photo by Bryan Gatchell, USAG Bavaria Public Affairs)
| Date Taken: | 04.13.2026 |
| Date Posted: | 04.16.2026 09:56 |
| Photo ID: | 9618940 |
| VIRIN: | 260414-A-TR183-6483 |
| Resolution: | 4288x2848 |
| Size: | 2.51 MB |
| Location: | HOHENFELS, BAYERN, DE |
| Hometown: | HOHENFELS, BAYERN, DE |
| Web Views: | 4 |
| Downloads: | 0 |
This work, Director FMWR thanks volunteers [Image 7 of 7], by Bryan Gatchell, identified by DVIDS, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.
Apr 16, 2026 · via dvidshub.net
We’ve detected that JavaScript is disabled in this browser. Please enable JavaScript or switch to a supported browser to continue using x.com. You can see a list of supported browsers in our Help Center.
Help Center
Terms of Service Privacy Policy Cookie Policy Imprint Ads info © 2026 X Corp.
Apr 16, 2026 · via x.com