490 years later, the question remains On May 19, 2026, it will be 490 years since the execution of Anne Boleyn, a death that not only ended a reign of roughly one thousand days but also inaugurated one of the most unstable narratives in the history of the English monarchy, shaped by fragile accusations, political rearrangements, and an almost immediate rewriting of who she was. Nearly five centuries later, what is striking is not only that her guilt or innocence, her ambition or her role in the break with Rome are still debated, but that an even more basic question remains unresolved: what did Anne Boleyn’s face look like? But Anne Boleyn’s story does not begin or end at the scaffold. It begins to be constructed days earlier. On May 2, 1536, Anne was formally accused of the crimes that, weeks later, would lead to her execution. The charges of adultery, incest, and treason did not merely organize her downfall in legal terms; they also established the version of her that would outlive her. This uncertainty is not an effect of time, but of how her story was shaped from the moment of her fall. Executed under accusations that are now widely considered politically constructed, removed in a context that involved the urgent need for a male heir and a reorganization of power within the court, Anne was not only eliminated as a political figure but also as an image. This uncertainty is not simply the effect of time, but of how her story was constructed from the moment of her fall. Executed under accusations that are now widely considered politically fabricated, removed in a context that involved the urgent need for a male heir and a reorganization of power within the court, Anne was not only eliminated as a
May 3, 2026 · via miscelana.com
Song-Quan Ong, PhD, Universiti Malaysia Sabah, Malaysia Dr. Song-Quan Ong is a Senior Researcher at Universiti Malaysia Sabah. His research integrates artificial intelligence, computer vision, and data science to advance biodiversity monitoring, animal ecology, and vector-borne disease surveillance. His research also focuses on developing computer vision systems and curated image and video datasets for automated species identification and ecological monitoring. By bridging ecology with artificial intelligence and FAIR data practices, his research supports the development of high-quality datasets that enable reproducible and scalable computer vision applications in animal studies. Dr. Ong has been working as an Editorial Board Member for Scientific Data since 2024. Linlin Shen, PhD, Shenzhen University, China Dr. Linlin Shen is a Professor at the School of Artificial Intelligence, Shenzhen University, Shenzhen, China. He is also an Honorary Professor at the School of Computer Science, University of Nottingham, U.K. He is the Deputy Director of the National Engineering Laboratory of Big Data Computing Technology and the Director of the Computer Vision Institute, the AI Research Center for Medical Image Analysis and Diagnosis, and China–UK Joint Research Laboratory on Visual Information Processing. His research interests include deep learning, facial recognition, analysis/synthesis, and medical image processing. Dr. Shen has been working as an Editorial Board Member for Scientific Data since 2024.
May 3, 2026 · via nature.com
The Erie County Legislature on Thursday approved the Erie County Biometrics Transparency and Privacy Act in a 7-4 vote, prohibiting private businesses from collecting, storing or selling consumers’ biometric data, including facial recognition, fingerprints and iris scans. The measure carves out exemptions for government agencies, financial institutions and personal device authentication. Violations carry penalties ranging from $1,000 to $5,000 per day and will be enforced by the county’s Division of Consumer Protection. Businesses cited under the law will have 30 days to come into compliance. Legislator Lawrence Dupre, Dist. 1, who sponsored the bill, described the measure as a necessary step to “protect the citizens of Erie County,” noting that unlike passwords, biometric identifiers cannot be changed. He argued that private companies should not be building databases of such sensitive information that could later be sold. Supporters said the law draws a clear line between legitimate security uses and the unauthorized collection of personal data. Opponents, including Legislator Lindsay Lorigo, criticized the measure as overly broad. Lorigo instead backed an alternative proposal, the Customer Biometric Privacy Act, which would have required businesses to notify customers of data collection through posted signage rather than banning the practice outright. The legislation follows confirmations from retailers such as Wegmans that they have recently started used facial recognition technology in stores. The law will take effect upon filing with the New York secretary of state.
May 3, 2026 · via beenews.com
Apple reportedly accelerates its ambitious three-year plan Apple wants to get its most exciting new devices to your hands even faster than originally planned. The iPhone 17 Pro redesign was just the beginning. | Image by PhoneArena Apple has a three-year plan, or so many reports over the last half a year or so have confidently claimed. The company wanted to break free from its annual monotony and shake up the entire industry, something that it now reportedly plans to do in just a year and a half instead. What is this three-year plan? Mostly, it was focused on the iPhone. You saw it come into action with the redesign of the iPhone 17 Pro, a move that made the iPhone 17 the most popular iPhone in the company’s history. After the iPhone 17, the iPhone 18 Pro is supposed to ship with an under-display Face ID and a smaller Dynamic Island. Apple is still working on this, as preliminary reports indicate that the company is struggling with sluggish facial recognition. Lastly, the iPhone 20 Pro is slated for 2027 to celebrate the 20th anniversary of the iPhone. An iPhone model with no cutouts across the display at all. With said display ever so gently melding into the chassis to give it a feeling of floating above the phone. Those are just Apple’s plans for the iPhone. There are other exciting projects in the works too. For example, an iPad Air with an OLED display or touchscreen MacBook models also with OLED panels. The company is also working on an iPhone Air 2 and already has plans for a successor to this year’s upcoming foldable iPhone Ultra. Then there’s the new stuff. A robot with an arm, a smart home hub, AirPods with cameras, smart glasses without a display and
May 3, 2026 · via phonearena.com
FARGO — Attorneys for a Tennessee woman who was wrongly accused and jailed for months based on artificial intelligence evidence are working to file a civil rights lawsuit on her behalf. Despite a slow-going investigative process, the attorney for Angela Lipps said information gathered so far indicates the case "should strike fear in every law-abiding citizen" about the real-world implications of law enforcement's use of facial recognition technology. ADVERTISEMENT The story of Lipps' arrest last July in her rural hometown in the foothills of Appalachia in east Tennessee, and subsequent months-long incarceration after Fargo police relied on AI to identify her as the suspect in a bank fraud case, spread like wildfire after it was first reported by WDAY News last month. The New York Times, CNN and People Magazine covered the case. International outlets breathlessly reported the most egregious details, including that Lipps had never been on an airplane until she was extradited to North Dakota based on Fargo's arrest warrant, and that she was released from the Cass County Jail into frigid weather on Christmas Eve without a coat or money, and local defense attorneys had to cobble together donated personal funds to help her get back home. The case against Lipps Lipps' saga began after Fargo police started investigating a series of crimes at banks around Fargo and West Fargo that took place in late April and early May of last year. Court documents show investigators were attempting to locate two female suspects who presented fake military ID cards at seven different banks and credit unions to withdraw money from home equity line of credit accounts, resulting in a total loss of more than $67,000. By early June, Fargo detectives had honed in on Lipps as a prime suspect in their case, based, it is now known,
May 3, 2026 · via inforum.com
She may be one of the most famous royal spouses, but Anne Boleyn was never pictured in her lifetime. The second wife of Henry VIII has been the subject of fierce debate, with her physical appearance remaining shrouded in mystery. However computer scientists have now linked a sketch of an unknown woman to the famously beheaded royal using facial recognition technology. As Boleyn was never depicted while she was alive, our understanding of her appearance is shaped by several posthumously created paintings. These include a sketch by Hans Holbein the Younger, which is part of a collection held in Windsor by the Royal Collection Trust. Sign up for all of the latest stories Start your day informed with Metro's News Updates newsletter or get Breaking News alerts the moment it happens. While many scholars believe it is an accurate representation of Henry VIII’s second wife, the computer scientists from the University of Bradford believe it in fact could be her mother, Elizabeth née Howard. Professor Hassan Ugail, who specialises in visual computing said the team was comparing a series of drawings, including some of Boleyn’s first cousins and her daughter, Elizabeth I, using a computer algorithm. The cutting edge technology was used to analyse familiar similarities. But the method ‘shocked’ researchers when it appeared to match an unidentified sketch to Boleyn. Lead author Karen Davies long had a childhood obsession with Boleyn. However she was skeptical of the sketch named after the Tudor royal by Holbein, citing discrepancies between the artwork and descriptions of Boleyn, as well as the fact that the name was etched in an 18th century hand – several hundred years after Boleyn was executed. Not everyone is onboard with the methodology however. Some have questioned how such technology can be used to identify drawings, which are
May 2, 2026 · via metro.co.uk
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May 2, 2026 · via thesun.co.uk
Northern America Cameras Market 2026 Analysis and Forecast to 2035 Executive Summary Key Findings - Northern America's cameras market is projected to reach a value in the range of USD 38–45 billion in 2026, with growth driven primarily by security, automotive, and industrial machine vision segments, while consumer digital cameras continue their structural decline. - Security and surveillance cameras account for the largest revenue share, estimated at 35–40% of the regional market, fueled by public safety investments, smart city programs, and commercial property upgrades across the United States and Canada. - The region remains a net importer of finished cameras and camera modules, with approximately 60–70% of unit volume sourced from East Asian manufacturing hubs, though high-value sensor design and system integration remain concentrated in Northern America. Market Trends Observed Bottlenecks Advanced CMOS sensor wafer capacity Specialized optical glass and lens assembly High-performance ISP availability Qualified manufacturing for automotive/medical grades Global logistics for calibrated modules - Computational photography and AI-enabled image processing are reshaping product specifications, with embedded ISP and neural processing units becoming standard across security, automotive, and professional camera platforms. - Automotive camera content per vehicle is rising sharply, from an average of 2–3 cameras per vehicle in 2020 to an estimated 5–8 cameras per vehicle by 2026, driven by ADAS mandates and autonomous vehicle development programs. - Industrial machine vision adoption is accelerating as manufacturers in Northern America invest in automated optical inspection, quality control, and logistics automation, with demand for high-resolution area scan and line scan cameras growing at 8–12% annually. Key Challenges - Supply constraints for advanced CMOS image sensors, particularly stacked BSI and global shutter designs, continue to create lead-time volatility and price premiums for high-performance camera modules used in automotive and medical applications. - Export control regulations on dual-use camera technologies, including high-resolution
May 2, 2026 · via indexbox.io
A ChatGPT prompt trend generating surreal fake vintage photography has attracted nearly a thousand comments in under ten hours, exposing how effectively AI image models can manufacture the visual grammar of authenticity and why that capability matters well beyond the creative community celebrating it. The appeal of the trend is not difficult to understand once you look at the outputs. Synthetic old photographs work on the viewer differently than polished AI art. The grain, the color fade, the slightly wrong depth of field, the compositional casualness of a scene that appears to have been captured rather than constructed: these analog imperfections are precisely what makes the images feel found rather than made. Human visual pattern recognition has been trained over a lifetime to associate those qualities with documentary reality. An AI image that mimics them is exploiting that association deliberately, and the results are, by design, more convincing than images that look like AI art. This is the counterintuitive dynamic at the center of the trend. AI image generation’s most discussed quality problem has been the uncanny perfection that makes outputs look artificial: hyper-detailed textures, impossible lighting, anatomically implausible hands. The synthetic vintage photo format inverts that problem. The imperfections are the point. A deliberately degraded image that looks like a scan of a 1960s Kodachrome print does not trigger the same visual skepticism that a hyper-realistic AI portrait does, because the visual language of worn analog photography is associated in most viewers’ minds with evidence rather than construction. The trust infrastructure implications run considerably deeper than the creative trend itself. Polished AI image generation has been legible as AI to most informed viewers for the past two years, and the public conversation about synthetic media has largely developed around the assumption that AI-generated images have detectable visual tells. The
May 2, 2026 · via startupfortune.com
Live facial recognition technology will be used in Southend.
The deployment on Sunday, May 3, is part of efforts to arrest individuals who have committed offences.
The technology aids in locating those wanted for serious crimes, helps enforce orders against individuals on a 'watch list,' and protects vulnerable individuals.
Images of those not on the watch list are deleted immediately and are not stored.
Read more
Man allegedly made threats to kill and exposed himself in front of Basildon motorist
Police attend reports of 'explosive' on Essex seafront
Man arrested for indecent exposure as public urged not to share video
15-year-old boy arrested on suspicion of GBH in Southend weapons brawl
Since the first use of the technology last year, it has helped to make dozens of arrests, including individuals wanted for sexual abuse, domestic violence, aggravated burglary, and assault.
The police say the use of live facial recognition is one of a raft of tactics to keep people safe.
The operation will be carried out by Essex Police.
May 2, 2026 · via echo-news.co.uk
A gunman attempted to enter the White House Correspondents’ Dinner in Washington, DC, last weekend, while President Donald Trump, Vice President JD Vance, and other administration officials were in attendance. Media reports and Trump himself quickly identified the suspected shooter as 31-year-old engineer and computer scientist Cole Tomas Allen. The California resident was arrested at the scene on Saturday and appeared Monday in the US District Court for the District of Columbia to face three federal charges: attempting to assassinate the president, transportation of a firearm in interstate commerce, and discharge of a firearm during a crime of violence. The authentication standards body known as the FIDO Alliance announced working groups this week along with Google and Mastercard to develop technical guardrails for validating and protecting transactions initiated by an AI agent. Meanwhile, given the proliferation and increasing sensitivity of some work using AI, OpenAI rolled out an “advanced” security risk mode for ChatGPT and Codex accounts facing heightened risk of attack. New research this week shed light on an incident in which 90,000 screenshots pulled from a European celebrity's phone were exposed online—underscoring the risks of commercially available spyware both as an invasion of personal privacy and a threat for widespread data breaches and abuse. And WIRED looked at arrests in the United Arab Emirates resulting from people sharing screenshots and other online content. And there’s more. Each week, we round up the security and privacy news we didn’t cover in depth ourselves. Click the headlines to read the full stories. And stay safe out there. Disneyland Rolls Out Face Recognition The Happiest Place on Earth just got a bit creepier. The Walt Disney Company announced this week that visitors to its Disneyland Park and Disney California Adventure Park will have the option to “choose” to enter the park
May 2, 2026 · via wired.com
Affiliate links on Android Authority may earn us a commission. Learn more. My favorite Circle to Search feature is one that Google doesn't advertise While Google’s Circle to Search is a handy tool in theory, I find that in practice, the results vary significantly. Sometimes the answers it gives me are spot-on, and other times, they are wildly inconsistent. As a result, Circle to Search has become one of those tools I don’t actually use that much despite all its advertised benefits. That is, with the exception of one very handy feature that I’m using it for more and more every day. What do you use Circle to Search for? Circle to Search’s image recognition doesn’t always work for me Circle to Search is generally good at identifying products that are available online, but when it comes to recognizing other items, my experience has been mixed. It’s possible that this is because I’m in a non-Western market, since LLM training data seems to skew towards the US, Europe, and other Western regions. I’ve used the Circle to Search to try to identify plants, insects, phone models, and more. I’ve also just tested it to see if it can identify my cat’s breed. More often than not, it doesn’t produce the right results. It frequently misidentifies the plants in my garden, choosing species from different regions around the world. When I tried to use it to help me identify a bug infesting one of my plants, it even gave a different answer every time. The first time around, it told me they were zombie ants — so I thought I was having a The Last of Us situation in my garden. The only way I found an answer was by asking my Android Authority colleagues and using a single picture on
May 2, 2026 · via androidauthority.com
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May 2, 2026 · via hackernoon.com
Even the latest AI models make three systematic reasoning errors, ARC-AGI-3 analysis shows The ARC Prize Foundation analyzed 160 game runs of OpenAI's GPT-5.5 and Anthropic's Opus 4.7 on the ARC-AGI-3 benchmark. The results reveal three systematic error patterns that explain why both models stay below 1 percent. AI benchmarks usually just show whether a model passed or failed. The ARC Prize Foundation takes things a step further with a new analysis: the team evaluated 160 replays and reasoning traces from OpenAI's GPT-5.5 and Anthropic's Opus 4.7 in the interactive environments of ARC-AGI-3. The benchmark, released in late March 2026, tests AI systems in interactive, turn-based game environments. Unlike their predecessors, which relied on static pattern recognition, AI agents have to explore environments on their own, form hypotheses, and carry out action plans without any instructions. Every frontier model tested so far has scored below 1 percent, while humans solved the same tasks with no prior knowledge. The latest results are no different: GPT-5.5 hits 0.43 percent at a cost of around $10,000, while Opus 4.7 manages just 0.18 percent. According to the benchmark developers, the more interesting part is the reasoning behind the failures. The recorded "reasoning traces," where the model documents its solution attempts, let them trace exactly where a model formed a hypothesis, where it rejected a correct one, and where it got stuck on a wrong one. Models see the details but miss the big picture The analysis identified three systematic error patterns that both models share, though in different ways. The most common pattern: models correctly pick up on local effects but can't turn them into a working world model. A model might recognize that a certain action rotates an object, but it can't figure out that the rotation determines which side receives a new
May 2, 2026 · via the-decoder.com
Abstract This study investigates the identification of Benign Prostatic Hyperplasia (BPH) through a deep learning-based analysis of RGB prostate histopathological images. Adaptive Contrast Limited Adaptive Histogram Equalization (CLAHE) is selectively applied to the L-channel in the LAB color space to enhance tissue visibility while preserving chromatic fidelity. At the architectural level, Convolutional Neural Networks (CNNs) are integrated with Bidirectional Long Short-Term Memory (BiLSTM) layers, enhanced further through spatial and temporal attention mechanisms. This hybrid design facilitates both localized pattern recognition and the modeling of long-range contextual dependencies across tissue regions. To mitigate class imbalance and prevent overfitting, the training regime incorporates two key strategies: an adaptive focal loss function and a comprehensive image augmentation protocol. The proposed model achieved an AUC of 0.7220 on the validation set and an AUC of 0.73 on the test set. While the precision for normal tissue classification remained high, the recall for BPH detection highlighted the need for improvement in sensitivity. The proposed CNN–BiLSTM–Attention architecture demonstrates potential as a diagnostic aid in digital pathology, offering interpretable insights and forming a foundation for enhancing histological classification systems. Future work will focus on improving recall performance for BPH detection and expanding the architecture to support multi-class prostate disease grading frameworks. This study utilizes an RGB histopathological dataset consisting of 176 prostate images, each appropriately annotated. The model demonstrates moderate classification performance and a moderate true-positive rate for detecting Normal samples. The model, however, has a low sensitivity in the detection of the cases of BPH as indicated by the relatively low recall values. Similar content being viewed by others Funding Open access funding provided by Manipal University Jaipur. Author information Authors and Affiliations Corresponding author Ethics declarations Competing of interest The authors declare no competing interests. Consent to participate All authors have mutually consented to participate.
May 2, 2026 · via nature.com
Abstract Integration of Artificial Intelligence (AI), particularly deep learning, into medical imaging represents a profound shift in diagnostic medicine, moving from purely descriptive analysis to advanced predictive and prescriptive analytics. This Collection explores the rapid advancement of AI-driven tools in their specific fields such as oncology, cardiology, ophthalmology and so on, highlighting their potential to improve diagnostic accuracy, workflow efficiency, and personalized treatment planning. However, significant challenges remain, including the heterogeneity of medical image data, the “black box” nature of some intelligent models, and the critical hurdles of clinical integration and validation. The research presented here addresses these frontiers, showcasing innovations in algorithm development, explainable AI, and translational application. This Editorial synthesizes the contributions and outlines the essential collaborative pathway—uniting computer scientists, clinicians, and regulatory bodies—required to translate algorithmic promise into robust, trustworthy, and equitable clinical tools that genuinely improve patient care. Introduction The advent of Artificial Intelligence (AI) in medical imaging is not just an incremental improvement but a foundational transformation. Using deep learning, these systems promise to move beyond traditional manual interpretation of images—a task subject to human variability and fatigue—towards a future of automated, quantitative, and predictive analytics. The impetus for this shift is clear: an ever-growing volume of imaging data, increasing computational power, and the urgent need for tools that can support clinical decision-making in the face of complex disease patterns. This Collection, "Artificial intelligence and medical imaging” (https://www.nature.com/collections/bjeiihhgfa), captures a snapshot of this dynamic field at a pivotal moment, presenting research that both demonstrates the remarkable potential of these technologies and thoughtfully engages with the substantial obstacles that lie between a well-trained intelligent algorithm and its effective use at the patient’s bedside. The promise: enhancing the diagnostic pipeline The core promise of AI in medical imaging lies in its ability to enhance human expertise. The
May 2, 2026 · via nature.com
This report is an independent strategic market study that provides a structured, commercially grounded analysis of the market for 3D Camera in Poland. It is designed for component manufacturers, system suppliers, OEM and ODM teams, distributors, investors, and strategic entrants that need a clear view of end-use demand, design-in dynamics, manufacturing exposure, qualification burden, pricing architecture, and competitive positioning. The analytical framework is designed to work both for a single specialized component class and for a broader advanced imaging and sensing component, where market structure is shaped by product architecture, performance requirements, standards compliance, design-in cycles, component dependencies, lead times, and channel control rather than by one narrow customs heading alone. It defines 3D Camera as A camera system that captures depth information in addition to color, creating a three-dimensional representation of a scene using technologies like stereo vision, structured light, or time-of-flight and examines the market through end-use demand, BOM and subsystem logic, fabrication and assembly stages, qualification and reliability requirements, procurement pathways, pricing layers, and country capability differences. Historical analysis typically covers 2012 to 2025, with forward-looking scenarios through 2035. What questions this report answers This report is designed to answer the questions that matter most to decision-makers evaluating an electronics, electrical, component, interconnect, or power-system market. - Market size and direction: how large the market is today, how it has developed historically, and how it is expected to evolve through the next decade. - Scope boundaries: what exactly belongs in the market and where the boundary should be drawn relative to adjacent modules, subassemblies, systems, and finished equipment. - Commercial segmentation: which segmentation lenses are truly decision-grade, including product type, end-use application, end-use industry, performance class, integration level, standards tier, and geography. - Demand architecture: which OEM, industrial, telecom, mobility, energy, automation, or consumer-electronics environments create the
May 2, 2026 · via indexbox.io
Bright idea? UK firm pioneers data centres using lampposts There have been many attempts to put data centres in unusual places over the years - Microsoft put a data centre under the sea, Elon Musk has suggested putting them in space. Now a UK firm is betting on data centres using thousands of connected smart lampposts, and has signed a formal agreement with a Nigerian state to deploy 50,000 of them. Warwickshire-based Conflow Power Group Limited (CPG) says networked together its solar-powered iLamp units "double as a revenue-generating distributed AI data centre". However, some experts have told the BBC the tech isn't a substitute for the powerful data centres needed to run the toughest AI tasks, although they could be useful for less demanding work. Each iLamp has batteries which are charged by a cylindrical solar panel. These supply the energy used by a low-powered computer suitable for AI tasks. "NVIDIA is the company that's created a small enough chip, powered with 15 watts of power, so it can be powered by solar, and we can put that inside a street light", CPG chairman Edward Fitzpatrick told the BBC's Tech Life programme. The firm's plan, according to Fitzpatrick, is that scaled across thousands of units, a network of iLamps would deliver the collective processing power of a data centre with the environmental benefit of not drawing energy from the grid. 'Fried' chips Data centre industry veteran Prof Ian Bitterlin told the BBC the physical security of the streetlights would be a concern. Fitzpatrick accepts this. "If people realise that there's a $2,000 unit inside there they might try and steal it", he said, but that the posts were designed so the chip would be "fried" if removed. The lampposts can also operate as AI-powered surveillance cameras. In Nigeria, each will
May 2, 2026 · via bbc.com
Is this the real face of Anne Boleyn? - Published Anne Boleyn won the heart of King Henry VIII, gave birth to one of the country's most well-known monarchs, and lost her head in 1536 - but her appearance has continued to challenge art historians and online sleuths. Now a computer science team believes they have discovered a previously unknown sketch of Boleyn by using facial recognition on a famous collection of Tudor portraits. Boleyn became Henry VIII's second wife in 1533, but her reign was short-lived: approximately three years. She was accused of adultery, incest and treason and was executed. All the painted portraits that exist of her were made after her lifetime, creating a mystery around what she actually looked like and making her appearance the subject of fascination and debate for centuries. The research team, led by the University of Bradford, says the new discovery is "exciting" and the methodology could be replicated to do more art detective work. But there is scepticism from within the art history community over the findings. "We don't have a lifetime painted portrait of her that's absolutely secure, a wonderful painting that we can use as a reference point," says Dr Charlotte Bolland, a senior curator for research and 16th-Century collections at the National Portrait Gallery - who is independent from the new study. "Her reign wasn't necessarily long enough for an established iconography⦠and there is this tantalising suggestion that perhaps some of her images might have been deliberately destroyed." Although there are no known surviving paintings made in her lifetime, there are a handful of lifelike, yet contested, depictions left. Including this preparatory sketch with her name on it. It exists within a precious collection of drawings of Tudor court members by the masterful artist Hans Holbein the Younger,
May 1, 2026 · via bbc.co.uk
Dan Walters accepts the award for Civilian Volunteer of the Year on behalf of Jeffery Bergeron during the Volunteer of the Year Recognition Ceremony April 29, 2026, at Club Stewart on Fort Stewart, Georgia. Over the last year, nearly 400 volunteers recorded 32,856.25 hours of service in the Volunteer Management Information System. The estimated amount of money saved by the Army because of the work of volunteers is $1,143,068.94. (U.S. Army Photo by Chris Rich)
| Date Taken: | 04.29.2026 |
| Date Posted: | 05.01.2026 15:08 |
| Photo ID: | 9654538 |
| VIRIN: | 260429-A-JB200-8540 |
| Resolution: | 3000x2400 |
| Size: | 1.84 MB |
| Location: | FORT STEWART, GEORGIA, US |
| Web Views: | 6 |
| Downloads: | 0 |
This work, Fort Stewart-Hunter Army Airfield volunteers save Army more than $1.1M [Image 11 of 11], by Christopher Rich, identified by DVIDS, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.
May 1, 2026 · via dvidshub.net