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
The plan aims to operationalise the strategy approved by the Prime Minister earlier this year, ensuring coordinated and effective implementation across ministries, sectors, localities, socio-political organisations, businesses and the wider public. It seeks to unify awareness and action in building the national brand while enhancing international communication efforts. At its core, the plan emphasises mobilising the combined strength of the political system and society, linking communications with the promotion of cultural values and soft power of the country. The initiative is expected to help enhance Vietnam’s global standing, reputation and image while supporting the development of cultural industries in line with the Politburo’s Resolution No.80/ NQ/TW and Resolution No.30/ NQ-CP of the Government. For the 2026–2030 period, the plan highlights the need for a strong shift in mindset, a high-level consensus in awareness and action, and conferences, seminars, and discussions on this work. The strategy will be widely disseminated to ministries, sectors, political-social organisations, local authorities, press agencies, businesses, and citizens both at home and abroad. Training and capacity-building programmes on modern communications mindset and data-driven communications will be stepped up. The ministry will also establish a comprehensive communications content framework, prioritising sectors such as culture, tourism, cuisine, heritage and cultural industries. A “Vietnam Story Bank” will be developed, digitised and structured using metadata to optimise searchability and reuse. In parallel, a unified national brand identity and shared communications toolkit will be created for use by ministries, sectors and localities. The plan underscores the building of a modern digital media ecosystem by applying digital technologies and artificial intelligence (AI) in content production and distribution. Multilingual digital content systems will be developed across cross-border platforms, alongside national communications campaigns promoting Vietnamese culture, tourism, and heritage. Traditional cultural content and events will also be digitised to expand their reach online. The plan
May 1, 2026 · via vietnamnet.vn
Indonesian startup launches multimodal biometric KYC, authentication platform Indonesia-based identity verification and biometrics provider Beeza has launched a multimodal biometric authentication platform with proprietary biometric liveness detection for enterprise security and identity management. The startup says its new platform supports adaptive authentication with a fusion of face, fingerprint, iris and voice biometrics, and claims leading accuracy and fraud prevention results. The platform also includes face image quality assessment for reduced false rejection rates, government database integration for real-time verification and compliance, and a choice of cloud-based or on-premise deployment for control over sensitive biometric data and data sovereignty considerations. A company spokesperson says in the announcement that Beeza’s platform uses AI to combine biometric modalities to set a new standard in security and usability. Fintechs, banks, insurance companies multifinance firms, e-commerce vendors and digital asset trading platforms have deployed Beeza’s biometric platform for KYC checks, transaction authentication and access control already, according to the announcement. Beeza’s website shows that its KYC software includes verification of family information, employment, phone numbers, location and property ownership. Indonesia has been steadily increasing KYC requirements, such as for biometric SIM registration, and biometric identity verification could soon become necessary for new use cases like access to social media. Article Topics adaptive authentication | Beeza | biometric authentication | biometric liveness detection | biometrics | Indonesia | multimodal biometrics Comments
May 1, 2026 · via biometricupdate.com
T-Shirts have become a facial recognition threat, a new study shows how to stop it Discsussions of biometric presentation attacks typically center around financial fraud attempts, but the increasing use of facial recognition in public has spurred researchers to develop clever ways to dupe the technology to evade security or surveillance. One of the methods that has proven successful in controlled experiments is adversarial images presented on T-shirts. The latest development in this field replaces adversarial images and patterns with face presentation attacks: A T-shirt with a printed human face is presented to the camera, tricking the facial recognition system into believing it is seeing a real three-dimensional face. A new paper from a group of researchers at the Darmstadt University of Applied Sciences in Germany shows a way to prevent these cheap and effective presentation attacks. The researchers tested three widely-used, open-source face detection algorithms, RetinaFace, MTCNN, and dlib, against the T-shirt Face Presentation Attack (TFPA) database. The database contains over 1,600 images taken from 100 different T-shirts, each printed with a facial image. Eight people were recruited to wear T-shirts with printed faces in different poses, while their images were captured with a RealSense D435, a sophisticated camera capable of capturing depth information for 3D images. In almost all cases, face detection algorithms picked up the face on the T-shirt. The average estimated detection rate of the three algorithms surpassed 99 percent for all eight poses, the results show. The study also showed that if the attacker hid their face, either by covering it with hands, wearing a face mask, or tilting their head, a face biometrics system would likely return a match with the T-shirt – meaning the attack would succeed. The success of this presentation attack is worrisome, as T-shirts are easy to make compared to
May 1, 2026 · via biometricupdate.com
Kuala Lumpur (VNA) – Authorities in Kuala Lumpur have upgraded all 10,000 surveillance cameras across the capital with high-resolution facial recognition technology to enhance security and improve urban management. The information was announced at a press briefing on April 30 by Hannah Yeoh, a minister in the Prime Minister’s Office, and Kuala Lumpur Mayor Fadlun Mak Ujud. The initiative forms part of a large-scale plan to build an integrated system linking surveillance, law enforcement, and urban operations. Speaking at the event, Yeoh said the system is expected to strengthen coordination between city authorities, police, and relevant agencies. Kuala Lumpur police chief Fadil Marsus noted that the surveillance system has already demonstrated clear effectiveness, increasing suspect detection rates by up to 50% and significantly supporting investigations, thereby improving case resolution rates. With the upgraded technology, authorities can monitor suspicious behaviour, track suspects’ movements, and make early interventions when necessary. The mayor also said city authorities are working with the Transport Ministry to expand the system’s application to traffic enforcement. The integration is expected to enable agencies such as the Road Transport Department to respond more quickly to violations, including encroachment into bus lanes or traffic obstruction. Police also expect the system to improve traffic regulation, which is still largely handled manually. In addition to facial recognition, the system incorporates advanced features such as geofencing in high-risk areas and behavioural analytics to detect suspicious activities and send alerts to the Kuala Lumpur Command and Control Centre. Some cameras in hotspot areas are also equipped with loudspeaker functions to issue real-time warnings to the public./.
May 1, 2026 · via en.vietnamplus.vn
SASSA aims to reduce long lines with its biometric system Ntuthuzelo Nene 30 April 2026 | 17:00SASSA says its biometric enrollment system, launched in September last year, is making it easier for beneficiaries to apply for grants and verify their status remotely. Picture: @OfficialSASSA/X The South African Social Security Agency (SASSA) said that it’s working to cut down the number of grant recipients visiting its offices. SASSA said that its biometric enrollment system, launched in September last year, is making it easier for beneficiaries to apply for grants and verify their status remotely. The system uses fingerprint and facial recognition to curb fraud and confirm identities. SASSA’s Executive Manager for Grant Administration, Brenton van Vrede, said that applicants can now apply online without setting foot in an office. He said that beneficiaries with access to a computer and a fingerprint reader can also complete verification from home. "Obviously, we can't force you to just use the online system. If you need assistance, you can come into a SASSA local office where we would be able to assist you to do that, particularly those maybe with the old greed ID's." Van Vrede added that the biometric system, integrated with the Home Affairs department and already used for the Social Relief of Distress grant, is simplifying verification for both the agency and recipients. ALSO READ: SASSA plans to introduce voice recognition systems Get the whole picture 💡 Take a look at the topic timeline for all related articles.
May 1, 2026 · via ewn.co.za
Now, tourists and visitors heading to Dubai and other emirates in the UAE, like Abu Dhabi, Sharjah, Ajman, and others can take advantage of the new biometric- based service to open bank accounts and get a digital debit card which would allow them to make cashless payments once the account is created. According to a report from Khaleej Times, one of the oldest newspapers in the UAE, visitors can now open digital bank accounts within minutes using a new âTourist Identityâ initiative launched on Wednesday, as stated by the authorities Also read: Dubai Residential Visa: You no longer need minimum 7.5 lakh Dirhams to buy a property, Dubai Land Department makes Visa rules easier According to the report, this initiative uses biometrics and facial recognition as its backend technology and is thus fully digital. Moreover, this new system links the digital identity system with ADCBâs mobile banking application, enabling tourists and visitors to open bank accounts within minutes and instantly access essential banking services, including digital debit cards. Earlier, non-residents, tourists and visitors could open accounts in certain UAE banks only, but that process was document-heavy. To help visitors and touritst, now this new initiative shifts that old document heavy process to an official digital identity-led model, allowing tourists to open a digital bank account within minutes. According to the report, UAE officials said that the move is aimed at boosting financial inclusion and accelerating the countryâs push towards a digital payments ecosystem, while reducing reliance on cash transactions. Saif Humaid Al Dhaheri, Assistant Governor for Banking Operations and Support Services at the CBUAE, said that this initiative connects visitors to the UAEâs national payment ecosystem, including the âJaywanâ card scheme and the instant payment platform âAaniâ. âThe initiative contributes to enhancing ease of doing business and delivering an integrated
May 1, 2026 · via m.economictimes.com
Abstract Generalist foundation models (GFMs) are renowned for their exceptional capability and flexibility in diverse tasks. In the field of medicine, while GFMs exhibit superior generalizability, specialist models excel in precision because of their domain-specific knowledge. Here we show a cooperative framework, Generalist–Specialist Collaboration (GSCo), that synergistically combines a powerful generalist model with lightweight specialists. In this framework, specialists provide expert guidance, such as diagnostic predictions and visually similar clinical cases, as contextual information to the generalist, which then makes a final diagnosis. We developed MedDr, an open-source GFM tailored for medicine, as well as a suite of lightweight specialist models crafted for specific downstream tasks. A comprehensive evaluation on 32 datasets across diverse medical modalities shows that MedDr outperforms state-of-the-art GFMs on downstream datasets. Furthermore, GSCo exceeds GFMs and specialists in medical image diagnosis and report generation. This approach offers an effective and computationally efficient paradigm for deploying GFMs in clinical settings, enhancing scalability and enabling precise analysis across a wide range of scenarios. This is a preview of subscription content, access via your institution Access options Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription $32.99 / 30 days cancel any time Subscribe to this journal Receive 12 digital issues and online access to articles $119.00 per year only $9.92 per issue Buy this article - Purchase on SpringerLink - Instant access to the full article PDF. USD 39.95 Prices may be subject to local taxes which are calculated during checkout Similar content being viewed by others Data availability This study incorporates a total of 45 datasets. Among these, 28 datasets were used for the training of MedDr, including SLAKE45, VQA-RAD39, Path-VQA18, PMC-VQA46, PMC-CaseReport14, MIMIC-CXR20, IU-Xray21, VinDr-SpineXR24, VinDr-PCXR32, VinDr-Mammo67, VinDr-CXR68, CheXpert69, ChestX-ray1435, PCam20070, PAD-UFES-2036, DermNet71, HAM1000033, ISIC202072, Kvasir73, Kvasir Capsule37, WCE74, GastroVision75, ODIR76,
May 1, 2026 · via nature.com