U.S. Army Lt. Gen. Gregory K. Anderson, commanding general, XVIII Airborne Corps (right), presents Col. Sean R. Shields, outgoing commander, 20th Engineer Brigade, XVIII Airborne Corps (left), with an Order of Saint Michael - Airborne award during a Change of Command Ceremony at Fort Bragg, N.C., June 12, 2026. The award is given in recognition of outstanding contributions to airborne, glider, air assault, and special operations communities. (U.S. Army photo by Cpl. Darius M. Smith)
| Date Taken: | 06.12.2026 |
| Date Posted: | 06.25.2026 17:52 |
| Photo ID: | 9755133 |
| VIRIN: | 260612-A-CK855-3377 |
| Resolution: | 7520x5016 |
| Size: | 6.04 MB |
| Location: | FORT BRAGG, NORTH CAROLINA, US |
| Web Views: | 9 |
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Jun 26, 2026 · via dvidshub.net
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Jun 26, 2026 · via link.springer.com
Facial recognition clearance extended to Qingmao port and HZMB Today marks the rollout of Smart Immigration Clearance at Qingmao Port and the Zhuhai-Macao Hall of the Hong Kong-Zhuhai-Macao Bridge (HZMB), extending the facial recognition-based system to additional cross-border checkpoints following its earlier launch at Hengqin Port last year. The initiative, which replaces physical document checks with facial recognition technology, was first piloted at Hengqin Port on November 5 last year. The Public Security Police Force (PSP) and the Public Security Forces Affairs Bureau, working alongside the Zhuhai General Station of Exit and Entry Frontier Inspection and the Economic Development Bureau of the Cooperation Zone, upgraded the joint inspection automated channels to allow travelers to simply glance at a scanner rather than use their ID cards. The shift from “card scan” to “face scan” has been widely welcomed by frequent cross-border commuters, who now breeze through checkpoints in seconds. As of June 24, some 310,000 individuals had registered for the service at Hengqin Port, with cumulative usage surpassing 6.21 million passenger trips. That figure represents 42% of all clearances processed through the port’s joint inspection automated channels. Following more than six months of stable operation at Hengqin, authorities decided to extend the service to two additional ports. The Qingmao Port and the HZMB Zhuhai-Macao Hall underwent stress tests from April 22 to 24, followed by trial runs on May 11 and 12. As of June 24, 170,000 travelers had registered at these two locations, and more than 1.72 million trips have been processed using the new system. The smooth trial runs provided authorities with the confidence to proceed with the full-scale rollout. With today’s expansion, all 204 joint inspection automated channels across Macau’s “joint inspection” ports will now support face-scan clearance. The technology simplifies the clearance process significantly, but authorities stress
Jun 26, 2026 · via macaudailytimes.com.mo
Antonia Fedder is a digital designer, consultant, and speaker working at the intersection of accessibility, inclusion, and sustainability. She is also a CMS Critic contributor. AI is either the greatest opportunity for the future of digital accessibility or a fast track to cementing existing exclusions. It all depends on who you ask. I honestly think both are happening at the same time, and the decisions that are being made right now will determine where we end up. The disability market remains both chronically underserved and one of the most severely underestimated in the world, and that’s before you consider the much bigger community of people who use the digital world differently: neurodivergent users, senior citizens, people with temporary impairments, anyone who’s ever encountered a digital interface that wasn’t built for them. Getting AI and accessibility right is a market question, a rights question, and a design question. This is not a niche problem. Before we go further, we need to be clear about what we’re actually talking about. "AI" covers a lot of ground. Discriminative AI works through recognition and classification. That’s the technology behind speech recognition systems like Voiceitt, which learns the unique speech patterns of people with cerebral palsy, Parkinson’s, or Down syndrome, so that they can be understood by voice interfaces made only for standard speech. It supports Microsoft’s Seeing AI, which has enabled blind and low-vision users to manage millions of independent tasks using just a smartphone camera. Generative AI creates. Be My AI, built into the Be My Eyes app, goes beyond describing images. It enables actual conversations around them. You can ask follow-up questions and explore what you are seeing. Apple’s Personal Voice allows people living with ALS or other speech-affecting conditions to create a synthetic version of their own voice in 15 minutes
Jun 26, 2026 · via cmscritic.com
The Tasmanian government has removed more than 468,000 driver’s licence photos from a national facial recognition database, citing concerns about how the biometric data would be protected. State Growth deputy secretary of transport Cynthia Heydon confirmed the recall to a budget estimates committee on June 4. Tasmania uploaded the licence images to a segregated section of the National Driver Licence Facial Recognition Solution between December 2018 and December 2020. The uploads happened without the consent of licence-holders and before federal laws were in place to govern the system. “In July last year, noting we have not entered into a participation agreement with the Australian government, we have chosen to have all of the Tasmanian driver’s licence images removed and associated data removed from that system,” Heydon said. Asked what had happened to the data, Heydon said the government had recovered all of it. The Commonwealth attorney-general’s department confirmed in late 2025 that the Tasmanian data had been removed. Independent Nelson MLC Meg Webb first called for the data to be returned in 2020 and has pushed for it repeatedly since. She welcomed the move but questioned why the government was now mandating similar technology in gambling venues. “If the safety of Tasmanians’ sensitive facial and biometric data cannot be guaranteed when held by a national government database, how on earth can it be considered safe when collected by state gambling venues?” she said. The state government in January shelved a promised pokies pre-commitment card in favour of measures including mandatory facial recognition in venues with gaming machines. “It is not too late. I urge the premier and treasurer to return to the safer and proven effective mandatory pokies pre-commitment card,” Webb said.
Jun 25, 2026 · via pulsetasmania.com.au
Saxony's new police law: AI pursuit and facial recognition approved After months of tug-of-war, the Saxon state parliament has passed far-reaching powers for investigators. Civil rights activists have sharply criticized the move. On Wednesday, after a contentious debate, the Saxon state parliament passed a comprehensive reform of the police law. With a narrow majority of 60 to 53 votes, the parliament paved the way for an extensive expansion of digital surveillance powers in the Free State, with some amendments to the previous government draft. The ruling minority coalition of CDU and SPD was largely dependent on the support of the BSW, from whose ranks eleven of the fifteen members of parliament voted for the legislative proposal. Opposing this were the 'no' votes from the Green, Left, and AfD parliamentary groups. One SPD member abstained. The new regulatory framework, which comes into effect as early as today, Thursday, marks a turning point in Saxon security policy: it equips the police with a broad arsenal of digital investigation tools that reach far into the digital space and public life. Among the core elements of the reform is the permission to use Artificial Intelligence for automated video surveillance at crime hotspots. These systems will in the future be able to track individuals across multiple cameras and recognize behavioral patterns, dangerous objects, and faces in real-time as part of remote biometric identification. Furthermore, the authorities will be empowered to use covert license plate scanners to detect stolen vehicles in flowing traffic. The scope of action is also being expanded on the internet: investigators are allowed to use systems that biometrically match faces and voices with freely accessible network data. For investigations in encrypted messenger services such as WhatsApp, the use of state Trojans for source telecommunications surveillance is also available. In the analog domain,
Jun 25, 2026 · via heise.de
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Jun 25, 2026 · via iopscience.iop.org
NJ Supreme Court upholds police FRT disclosure requirement New Jersey Supreme Court has unanimously ruled that law enforcement in the state must disclose its use of facial recognition during investigations as part of the discovery process in court proceedings. The decision partly sides with the state though, in excluding proprietary information like the source code of the facial recognition software used from the discovery demands. The ruling in State v. Miles (via Thomson Reuters) partially reverses the decision by a state appellate court that relied on an interpretation of State v. Arteaga that State Supreme Court Justice Lee Solomon Fasciale described as overly “mechanical” in allowing the demand for source code as part of discovery. The court ruled in Arteaga that police were obligated to disclose 13 pieces of information about the facial recognition system used by detectives before laying charges, which the appellate court took as precedence in Miles. “Such discovery cannot be reduced to a rigid thirteen-item checklist; a defendant’s entitlement varies depending on the specifics of the case,” writes Fasciale. In Miles’ case, New Jersey police must disclose the facial recognition software and data they used before they charged him with first-degree murder, along with how they used it. “Metrics of performance” are included, and Arteaga asked for (and was granted) NIST FRVT results as one of the 13 points, but the key items are the biometric software’s name and developer, what reference database was used, all versions of the probe image used and the match candidates returned. Some of this information was already provided by the prosecution after lower court decisions. Miles’ case had attracted the support of the ACLU, the Innocence Project and the EFF. Article Topics biometrics | facial recognition | false arrest | law enforcement | New Jersey Comments
Jun 25, 2026 · via biometricupdate.com
AI fraud drives banks toward biometric identity defenses New survey data from KPMG shows a majority of banking executives preparing for AI to cause major disruptions to established business models. The 2026 Banking Technology Survey says 80 percent of respondents anticipate “significant shifts” over the next three-to-five years, and are making adjustments accordingly. “What we’re seeing across the banking sector is a convergence of priorities – AI, payments modernization, cybersecurity, and tech-driven M&A are no longer separate agendas,” says Peter Torrente, who leads KPMG’s U.S. Banking Sector activity, in a release. “That shift exposes the challenge to keep pace across technology, risk, and growth simultaneously.” Headline numbers show a cascade effect: 76 percent of banking executives say they have seen an increase in the number of cybersecurity attacks on their banks in the last year. In response, 92 percent are increasing their budgets to address the risk. And 84 percent are increasing cybersecurity investment specifically to address risks introduced by AI. Operational efficiency and automation is receiving the most investment in the next 12 months, but security and fraud prevention is a close second. Among top threats are AI-introduced vulnerabilities in code, deepfakes and securing agentic technologies. Eighty percent of banks are implementing regular audits to ensure data security, privacy and compliance. Notably, uptake in adoption of biometric tools is set to increase; 32 percent of banking leaders say they are already using AI-enabled biometrics to secure payments and access management – but 72 percent plan to integrate the technology over the next three years. Defense tools must evolve at speed of fraud An article from J.P.Morgan dives into fraud in the age of AI. Insights from authors Vincent Meluzio from J.P. Morgan Payments and Douglas Wilbert from Accenture are consistent with the larger industry view: “fraud risk is on
Jun 25, 2026 · via biometricupdate.com
Nestlé is in the midst of a multiyear transformation strategy that has included investing in digital optimizations and creating a "marketing of the future" model.
As part of this, in its Ukraine market, the company saw an opportunity to overhaul retail execution that had historically suffered from a lack of real-time visibility in its stores. In 2019, the business segment sought to digitalize its merchandising operations and improve data quality to solve this challenge.
The company has worked with effie.ai for the effort, building a digital twin of retail execution so that each store, SKU and action can be captured and verified in near real time. As of this year, the company has completed the following for its 1,500 SKUs across seven categories and 45,000 store visits per month:
- Tracked shelf activity via image recognition, GPS and timestamps.
- Unified agreements, planograms and promo rules into machine-readable formats.
Since implementation, this has increased data accuracy from 75% to 97% while achieving a 60% reduction in shelf audit time, according to effie.ai. Additionally, the company reduced its operational costs and increased promotional availability from 84% to 95%.
Nestlé is currently advancing these efforts, aiming to embed agentic functionality.
Jun 25, 2026 · via consumergoods.com
Misplacing everyday items at home or work is a common frustration that often leads to wasted time and unnecessary stress, but Found App is designed to solve this by helping users build a simple, visual inventory of everything they own. The process is straightforward: users take a photo of each item, add a name or label, and store it within the app. This creates a personal, searchable catalog of belongings that can be accessed instantly whenever needed. Instead of guessing or searching through multiple places, users can quickly locate items using a fast search function. This makes organization more intuitive and reduces the effort required to keep track of important possessions. Found App is built for simplicity, turning everyday organization into a visual and searchable system that works in both home and work environments. Home Inventory Apps Found App Helps You Track And Rediscover Your Belongings Instantly Trend Themes - Visual Inventory Management — Photo-based catalogs are reshaping personal organization by turning everyday belongings into searchable digital records for faster retrieval and reduced household friction. - Searchable Home Systems — Consumer demand for instant item discovery reflects an opening for intelligent home platforms that connect storage, memory, and location data in simpler interfaces. - Personal Asset Digitization — Digital ownership records are expanding beyond insurance and resale use cases into daily convenience tools that make possessions easier to track, manage, and rediscover. Industry Implications - Productivity Apps — Mobile productivity tools are gaining relevance as lightweight inventory features blend task efficiency, visual search, and personal organization into one accessible experience. - Smart Home — Connected-home ecosystems have room for inventory-aware services that link physical spaces with digital catalogs to reduce lost items and improve household visibility. - Workplace Organization — Office and hybrid-work environments benefit from searchable asset tracking that
Jun 25, 2026 · via trendhunter.com
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Jun 25, 2026 · via cureus.com
Figures Abstract Computer-aided diagnosis of skin lesions faces core challenges, including scale diversity, blurred boundaries, intra-class morphological variations, and sparse data. Existing methods often rely on fixed receptive fields or generic attention mechanisms, struggling to fully adapt to the unique characteristics of skin lesions. To address this, we propose an Adaptive Multi-scale Convolutional Attention Network (AMCANet), which aims to achieve accurate and robust classification of skin lesions with limited data. AMCANet comprises three core modules: the adaptive multi-scale convolution module dynamically adjusts the receptive field to accommodate lesions of varying sizes; the hierarchical channel attention module integrates multi-level semantic information across different resolutions; and the skin spatial attention module leverages image gradient information to enhance lesion boundaries and local texture features. Extensive few-shot experiments on the HAM10000 and PAD-UFES-20 public datasets demonstrate that AMCANet significantly outperforms existing baseline models across multiple metrics, exhibiting promising generalization capabilities on the evaluated datasets. Qualitative and visual analyses further validate the model’s ability to extract discriminative features and effectively focus on lesion regions. This study proposes a deep learning model, which demonstrates certain effectiveness in classifying skin lesions even with a small number of samples, providing a potential direction for future research. Citation: Jin H, Liu E, Xu Q, Li Y, Chen X, Chen W (2026) Few-shot skin lesion classification with Adaptive Multi-Scale Convolutional Attention Network. PLoS One 21(6): e0351318. https://doi.org/10.1371/journal.pone.0351318 Editor: Amgad Muneer, The University of Texas, MD Anderson Cancer Center, UNITED STATES OF AMERICA Received: December 16, 2025; Accepted: May 26, 2026; Published: June 25, 2026 Copyright: © 2026 Jin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability: The data are provided
Jun 25, 2026 · via journals.plos.org
Bede Liu, an emeritus professor of electrical engineering and a pioneer in digital signal processing, died on May 7. He was 91. Liu’s pathbreaking research aided the transition from analog to digital processing of sound, images and video. Along with the 53 Ph.D. students he mentored, he developed methods of filtering and compressing digital signals to mitigate errors and dramatically reduce the computation needed for signal processing. These techniques have led to now-ubiquitous technologies for storing and streaming media. “He was a highly impactful scholar and teacher — always thinking ahead of future needs and changing technologies,” said colleague Peter Ramadge, the Gordon Y.S. Wu Professor of Engineering, Emeritus. In the 1990s, Liu turned his attention to media integrity and copyright issues. He created techniques for digital watermarking — hidden signals that could identify a genuine copy of a song, image or video and prevent unauthorized distribution or tampering. Lessons learned from Liu's work have guided industries in identifying suitable settings and applications for watermarking. For example, each copy of a Hollywood film given to a critic or theater now carries a unique forensic watermark to prevent unauthorized redistribution, said Min Wu, a 2001 Ph.D. alumna who worked on digital watermarking with Liu. Former students and colleagues remembered Liu for his humility, humor and generosity. For Ken Steiglitz, the Eugene Higgins Professor of Computer Science, Emeritus, “cheer” is the word that first comes to mind when thinking of Liu. He was “always ready with a positive remark, a quick smile, or, maybe, some tips on the right way to cook a duck.” Liu loved to organize dinners with colleagues and students at Chinese restaurants — both in the Princeton area and when traveling for conferences, said H. Vincent Poor, the Michael Henry Strater University Professor of Electrical and Computer Engineering.
Jun 25, 2026 · via princeton.edu
How to talk about "AI" without adding to the anthropomorphization Emily M. Bender and Nanna Inie In our op-ed for Tech Policy Press ("We Need to Talk About How We Talk About 'AI'"), we made the case against the anthropomorphizing language that makes it harder to have clear discussions of what so-called "AI" technologies actually do, and when and whether to use them. But these ways of speaking are deeply ingrained at this point, and it takes work carve new conversational and writing habits. That work involves at least three steps: - Noticing which word choices are anthropomorphizing - Finding alternatives - Getting in the habit of using the alternatives In our research (summarized in the op-ed) we have been working on the first two steps, categorizing the kinds of anthropomorphizing language and using those categories to organize potential alternatives. De-anthropomorphizing language talks about computer systems in terms of their functionality (what people build and/or use them to do), assigns agency to people using systems and not systems, and avoids aggrandizing metaphors about cognition. We aim to find substitutes that are as self-explanatory as possible, so that you can just go ahead and use them without having to explain. (Though of course, if someone asks "Why are you calling it that?" that's also a great opening.) Some of these rephrasings may feel a little clunky, and they can end up longer than the anthropomorphizing shorthand. This means it takes a little more dedication to use them, but also isn't necessarily a bad thing. We should stop and think about the tech we are using, or even discussing, and what it actually does. We'll go through the categories of anthropomorphizing language we identified in Inie et al 2026, and give examples of de-anthropomorphized versions for each. Our suggestions Cognizer and products
Jun 25, 2026 · via buttondown.com
Meta Launches Cheaper Smart Glasses Without Ray-Ban, Starting at $299 Meta announced a new line of AI smart glasses, designed in-house without Ray-Ban, starting at a lower price of $299. On Tuesday, Meta unveiled what it calls the Meta Adventurer and Fury glasses. The new smart glasses, which will be sold under Meta’s own brand, will cost $80 less than the second-generation Ray-Ban Meta Wayfarer model announced last year. The Meta Adventurer and Fury glasses will start at $299, making them less expensive than the latest Ray-Ban models, which start at $379. According to CNN, the lower price could help put the wearable devices in the hands of more consumers as the company faces pressure to show that its significant investments in AI can produce successful products. “You really want to be able to be in many places in the market, so reaching people isn’t just about even design and style, it’s also about the price point,” Meta Chief Technology Officer Andrew Bosworth says during a press event, according to the news outlet. Although Meta designed the glasses, manufacturing will be handled by its partner EssilorLuxottica SA, the parent company of Ray-Ban and Oakley. EssilorLuxottica’s logo appears alongside Meta’s branding on the inside of the temple arms and on the packaging. Meta is also introducing a $399 Starfire model in collaboration with Kylie Jenner, which is intended to appeal to younger consumers. Are Camera-Free Meta Glasses on the Horizon? According to a report by Bloomberg, Meta also suggested it is considering a version of its smart glasses without a camera, focusing instead on audio features such as phone calls, media playback, and interactions with its AI tools. The company did not provide details on when such glasses could be released or how they might be branded. However, Meta says some
Jun 25, 2026 · via petapixel.com
TSA and Google Wallet bring touchless airport security to more travellers The US Transportation Security Administration (TSA) has partnered with Google Wallet to make its TSA PreCheck Touchless ID program easier to use. It now allows eligible travellers to enrol directly through the digital wallet rather than through individual airline apps. The integration makes Google Wallet the first digital wallet to support TSA PreCheck Touchless ID, expanding access to a facial recognition-based identity verification system designed to speed passengers through airport security. The feature is available at 65 airports across the United States and works with more than 100 airlines participating in TSA PreCheck. Google Wallet simplifies TSA PreCheck Touchless ID enrollment Previously, travellers wanting to use Touchless ID generally had to opt in separately through participating airline apps after uploading passport information. The new Google Wallet integration creates a single enrollment pathway regardless of which participating airline they are flying. To use the feature, eligible travellers: - Check in with a participating airline. - Add their boarding pass to Google Wallet. - Tap the “Get started” prompt if they have an eligible digital ID stored in Wallet. - Consent to share their digital ID and boarding pass information with TSA. - Receive confirmation, after which their boarding pass displays a TSA PreCheck Touchless ID indicator. “Our collaboration with Google helps our trusted TSA PreCheck travellers enjoy the fastest route through airport security. Delivering seamless experiences like this is one more way TSA is working to deliver the Golden Age of Travel,” said Shelu Patel, TSA Modernisation Acting Chief Innovation Officer. P.J. Linarducci, vice president of product management, Consumer Payments, at Google, added: “This collaboration aligns perfectly with our goal to make digital experiences more secure and convenient, and we look forward to seeing it roll out broadly just as
Jun 25, 2026 · via aerospaceglobalnews.com
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Jun 25, 2026 · via metro.co.uk
Abstract Emotion recognition is one of the most important and complex challenges for machines to understand, as most robots and AI agents struggle with human-centric perception and interpretation. Therefore, this paper introduces a novel multimodal emotion recognition system that analyzes emotions through two complementary channels: voice and facial expressions. The proposed approach is evaluated on the RAVDESS and CREMA-D datasets, which consist of acted emotional expressions across multiple discrete emotion categories. Utilizing an advanced multimodal deep feature fusion technique, the system combines handcrafted audio features (e.g., Mel-Frequency Cepstral Coefficients (MFCCs)) with deep visual features extracted from an attention-based VGGFace model. These features are integrated into a unified representation through a hybrid fusion strategy that jointly employs concatenation, cross-attention, gated fusion, and multiplicative fusion mechanisms to capture complementary cross-modal interactions. To ensure a comprehensive and realistic assessment, the model is evaluated under both random-split and strict speaker-independent protocols. On the RAVDESS dataset, the proposed system achieves an accuracy of 95.83% under random-split evaluation and 48.06% ± 9.76% accuracy under speaker-independent Leave-One-Speaker-Out (LOSO) testing, while on the CREMA-D dataset it attains 73.54% accuracy using random splits and 53.12% ± 2.65% accuracy under subject-exclusive speaker-independent 5-fold cross-validation. Similar content being viewed by others Introduction Emotion recognition is a human ability that adults acquire through nonverbal cues. Human emotions do not follow fixed patterns or rules that can be directly applied to achieve a result. Rather, human emotions are psychological and physical responses that appear differently across individuals. Each person shows emotions through unique methods, which make their emotional expressions different from others. Thus, recognizing emotions may be somewhat complex, but adults can intuitively recognize the feelings of others based on their knowledge of many factors, such as how to differentiate between different vocal tones that carry underlying emotions, such as the tone of
Jun 25, 2026 · via nature.com