London police transparency push raises more facial recognition concerns London’s Metropolitan Police will begin releasing more body-worn camera footage as part of a transparency initiative aimed at providing greater context around police incidents. The move, however, has renewed scrutiny of how bodycam footage is used within the UK’s growing facial recognition ecosystem. The Metropolitan Police is revising the policy so that the public can see a full picture of incidents, it said on Monday. Videos from bodycams were previously only published after criminal proceedings, which sometimes take years to complete. The delay left the public relying on footage shared online by others, which sometimes only showed a partial picture. “We are increasingly seeing videos posted online, which are selectively edited or show a short snippet of a longer interaction,” says Met Police Commander Neerav Patel. “Without the full picture, this undermines the work of our officers.” The Met Police first tested body-worn cameras with a 500-officer pilot in May 2014, then deployed them force-wide to thousands of officers in October 2016. The recent decision comes after officers faced criticism over their use of force in viral videos filmed by bystanders. The latest case involved last month’s Golders Green knife attack in London, in which a man stabbed two Jewish men. Apprehending officers faced criticism online, prompting the police to release the body-worn footage filmed by Axon Body cameras. A similar move was made after the far-right “Unite the Kingdom” protest earlier this month, which also featured live facial recognition surveillance. “The public only sees a fraction of the incredible work that officers do each day, this new change in policy will allow them to see what we’re doing to keep them safe,” says Patel. Former UK Biometrics & Surveillance Camera Commissioner Fraser Sampson said that the Met Police move is
May 28, 2026 · via biometricupdate.com
Apple has shared details of its participation in this year’s IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Here are the details. Apple researchers to present work at CVPR Apple announced today the schedule and details of its participation at this year’s CVPR, which the company is also sponsoring. This year, CVPR will take place from June 3 through June 7 at the Colorado Convention Center in Denver, with Apple participating through poster and oral presentations, invited talks, a keynote talk, and affinity events. Here are the studies Apple will present at this year’s CVPR, some of which 9to5Mac has covered in the past: - AMUSE: Audio-Visual Benchmark and Alignment Framework for Agentic Multi-Speaker Understanding - AToken: A Unified Tokenizer for Vision - Bootstrapping Sign Language Annotations with Sign Language Models - DSO: Direct Steering Optimization for Bias Mitigation - From Where Things Are to What They’re For: Benchmarking Spatial–Functional Intelligence for Multimodal LLMs - Learning Long-Term Motion Embeddings for Efficient Kinematics Generation - Pico-Banana-400K: A Large-Scale Dataset for Text-Guided Image Editing - SO-Bench: A Structural Output Evaluation of Multimodal LLMs - STARFlow-V: End-to-End Video Generative Modeling with Normalizing Flows - TrajTok: Learning Trajectory Tokens enables better Video Understanding - UniGen-1.5: Enhancing Image Generation and Editing through Reward Unification in Reinforcement Learning - Velox: Learning Representations of 4D Geometry and Appearance - VSAS-Bench: Real-Time Evaluation of Visual Streaming Assistant Models - What Matters in Practical Learned Image Compression Apple researcher Colin Lea will also give a keynote talk at the Generative AI for Sign Language (GenSign) Workshop, followed by three other invited talks featuring Apple engineers, between June 3 and June 4. The company has also confirmed that researchers Hsin-Ping (Cindy) Huang and Maggie Xiao will be representing Apple at the Women in Computer Vision (WiCV) Mentorship Dinner. To
May 28, 2026 · via 9to5mac.com
Vadzo Imaging Launches Falcon-830CRH: Onsemi AR0830 8MP Color USB 3.2 Gen 1 Camera with VCM Autofocus for Embedded Vision Vadzo Imaging's Falcon-830CRH is an 8MP 4K color USB camera powered by the Onsemi AR0830 HyperLux LP sensor, combining VCM-based autofocus with Line Interleaved HDR, enhanced Dynamic Range, and Wake-on-Motion in a compact USB 3.2 Gen 1 UVC-compliant module designed for plug-and-play OEM integration across embedded vision, industrial, retail, medical and smart city applications. FORT WORTH, Texas, May 28, 2026 (Newswire.com) - Vadzo Imaging today launches the Falcon-830CRH, an AR0830 8MP color USB camera developed for embedded vision engineers and OEM developers who require 8-megapixel 4K color resolution with software-controlled autofocus on a single compact USB module. Built on the Onsemi AR0830 HyperLux LP sensor and paired with M12 VCM autofocus, the Falcon-830CRH delivers 4K imaging over USB 3.2 Gen 1 with full UVC compliance and a board footprint convertible from 38mm x 38mm to 32mm x 32mm, making it ready for direct integration into production hardware without custom driver development or board redesign. The AR0830 sensor is part of the Onsemi HyperLux LP family, engineered for superior low-power imaging with an on-board high-performance ISP. It delivers 8MP resolution at 3840 x 2160 through a 1/2.9" rolling shutter CMOS architecture with 1.4 µm pixel pitch, and supports Line Interleaved HDR (LI-HDR) and enhanced Dynamic Range (eDR) for consistent image quality across high-contrast and mixed-lighting scenes. The sensor's Wake-on-Motion feature holds the imaging core in super low-power mode (SLP) until motion is detected, activating full operation only when needed. Combining this sensor with VCM-based autofocus on a USB 3.2 Gen 1 UVC platform gives OEM developers an autofocus embedded camera that resolves subjects across a range of working distances in real time without fixed-focus constraints, optics swaps, or host-side driver development. Key
May 28, 2026 · via newswire.com
FBI adds iris scanning to identification tools BRIDGEPORT, W.Va (WDTV) - The FBI has added iris scanning as a new identification biometric, joining fingerprints and DNA in the agency’s identification tools. The FBI holds over 161 million sets of fingerprints in its Next Generation Identification database. The agency is now building a new database for iris identification. The iris scanning process uses a pair of goggles equipped with infrared light technology to capture a high-quality image. The detailed image of an iris is then uploaded into the database. Officials say iris identification is as reliable as a fingerprint. Each iris is unique and structurally distinct, making it suitable for recognition purposes. Approximately 2,500 agencies across the United States are using the iris technology. The technology is only implemented in states with laws allowing the enrollment and search of an iris. “When you look at it from the single type perspective of who are the largest contributors today, we have the Department of Homeland Security,” said Krista Koch, program manager for the CJIS Division. “They’ve submitted about 1.5 million sets of irises to the next generation identification.” The FBI did not discover the technology but added it to their identification biometric tools to assist law enforcement locally and across the country. “It strengthens our identification abilities across the nation and anything that we can do to support law enforcement, we absolutely march in that direction,” Koch said. “You’re able to submit an iris, enroll it at a rest point, and that’s what the goggles will demonstrate, or at a booking station in a stationary manner.” Editor’s note: The video for this story will be added once it airs. Please check back for the updated video. Copyright 2026 WDTV. All rights reserved.
May 28, 2026 · via wdtv.com
EU research projects target face morph attacks threatening border, identity systems The European Biometrics Association (EAB)’s recent morphing workshop highlighted two Horizon Europe research projects developing new defenses against face morph attacks targeting identity systems and border controls. Project EINSTEIN and the SafeTravellers project are working to improve morph attack detection (MAD) as generative AI makes facial image manipulation increasingly accessible. Morph attacks, which blend multiple faces into a single image, can be used to obtain identity documents that may later authenticate more than one person. The threat is particularly relevant for passports, visas and digital identity systems that rely on facial biometrics as a primary trust anchor. As AI tools make creating realistic morphs easier, cheaper and more convincing, detecting manipulated facial images is becoming a critical component of border security, credential issuance and digital identity assurance. The toolkit for creating face morph attacks has evolved rapidly, from traditional landmark-warping techniques to diffusion-based image generation. Advanced morph attack detection systems must therefore identify manipulated images produced by a wide range of methods while accounting for variations in image quality, capture environments and database diversity. As governments expand digital identity programs and biometric border controls, robust morph detection is becoming a critical layer of identity security. Project EINSTEIN wants to make sure morph attacks aren’t spoiling ID databases Project EINSTEIN, funded for three years under the Horizon Europe program, is focused on “innovating security in identity management and identity and travel documents for police and border authorities.” But a talk by Dr. Jonathan Boyle of the University of Reading focuses on detecting face morphs, and specifically looks at how “importing low quality or manipulated face images into ID databases can lead to security risks” like false identifications. Project EINSTEIN looks for potential manipulation and checks the image quality of ID
May 28, 2026 · via biometricupdate.com
WiMi Achieves Breakthrough in Deep Convolutional Neural Network Technology Based on Quantum Parameterized Circuits Rhea-AI Summary WiMi (NASDAQ: WIMI) announced phased progress in a quantum deep convolutional neural network for image recognition. The model uses quantum parameterized circuits, quantum convolution, feature fusion, and a quantum classification layer, trained via a quantum-classical hybrid scheme and validated on a quantum simulation platform. WiMi built a supporting software framework and plans further architectural optimizations and exploration of quantum residual networks, attention mechanisms, and generative models to prepare for larger-scale quantum AI applications as hardware advances. AI-generated analysis. Not financial advice. Positive - Quantum deep convolutional neural network architecture for image recognition demonstrated on a simulation platform - Hybrid quantum-classical training scheme implemented for parameter optimization under current hardware limits - Complete software and algorithm framework built for circuit construction, encoding, training, and evaluation - Experimental results indicate effective image feature learning and stable recognition performance on test tasks Negative - None. Market Reality Check Peers on Argus WIMI was down 0.6% pre-news, while sector peers in momentum (e.g., DRCT at -4.25%, CHR at -6.44%) also moved lower. This aligns the stock’s drift with broader Communication Services weakness. Previous AI Reports | Date | Event | Sentiment | Move | Catalyst | |---|---|---|---|---| | May 11 | AI feature mapping | Positive | -1.3% | Announced Repeated Amplitude Encoding to enhance quantum feature mapping accuracy. | | May 06 | AI text model | Positive | +6.3% | Unveiled multi-scale quantum CNN for text with accuracy and parameter gains. | | Feb 18 | Hybrid AI model | Positive | +0.6% | Proposed hybrid quantum-classical Inception model for image classification. | | Feb 06 | Hybrid H-QNN launch | Positive | +11.5% | Released H-QNN for MNIST with lower compute time and better expressivity.
May 28, 2026 · via stocktitan.net
WiMi Achieves Breakthrough in Deep Convolutional Neural Network Technology Based on Quantum Parameterized Circuits BEIJING, May 28, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company") is a leading global Hologram Augmented Reality ("AR") Technology provider. A quantum deep convolutional neural network technology oriented toward image recognition tasks has achieved phased progress. This technology provides a new technical path to address the challenges faced by traditional deep learning in terms of computational complexity, memory consumption, and training efficiency by constructing a quantum deep convolutional neural network model and combining it with a quantum-classical hybrid training mechanism. The proposal of this technology marks a further deepening of the application of quantum machine learning in typical artificial intelligence tasks such as image recognition, and also provides a new research direction for the realization of future large-scale quantum intelligent computing systems. WiMi has proposed a quantum deep convolutional neural network model for image recognition tasks. The model takes quantum parameterized circuits as its core computing structure, performs feature extraction on image data through quantum convolutional layers, and utilizes a quantum classification layer to complete the final recognition task. The overall architecture draws on the hierarchical structure of classical deep convolutional neural networks in terms of design philosophy, while fully leveraging the parallel computing capability of quantum circuits, enabling the model to achieve higher computational efficiency when processing high-dimensional data. At the technical architecture level, the quantum deep convolutional neural network consists of a data encoding module, a quantum convolutional layer module, a quantum feature fusion module, and a quantum classification module. The system first maps classical image data to the quantum state space through the data encoding module. Since quantum computers process quantum state information, it is necessary to convert pixel information into probability amplitudes of qubits through specific
May 28, 2026 · via prnewswire.com
Daniela Klette, 67, was captured in 2024 after a 30-year manhunt, thanks to AI facial recognition software used by an investigative journalist who matched an old wanted poster image with recent online photos. She was not tried for the Red Army Faction's (RAF) terror attacks, but for a series of robberies carried out between 1999 and 2016. Prosecutors are still considering whether to file charges over earlier crimes. The RAF, also known as the Baader-Meinhof Group, emerged from radical left-wing movements in the 1960s and targeted government officials and business leaders in Germany. Klette is suspected of belonging to the group’s so-called “third generation,” which sought to overthrow what it viewed as a fascist capitalist system. The organization was linked to the deaths of 34 people between 1970 and 1991 before formally disbanding in the late 1990s. Klette was convicted over robberies committed across 17 years. The first took place in Duisburg in July 1999, when masked gunmen armed with rifles and an RPG robbed an armored cash vehicle. The last robbery, in Braunschweig in June 2016, netted 1.4 million euros (about 1,6 million dollars) from another armored vehicle. Her alleged accomplices, Burkhard Garweg and Ernst-Volker Staub, remain at large. When police arrested Klette in Berlin’s Kreuzberg district, where she had been living under the alias “Claudia” with a foreign passport, they found weapons, ammunition, an RPG component and 240,000 euro (around 279,027 dollars) in cash in her apartment. The court convicted her of aggravated robbery, weapons violations and related offenses. While membership in the RAF can no longer be prosecuted due to the statute of limitations, prosecutors are weighing possible charges tied to suspected involvement in a failed 1990 bombing at a Deutsche Bank branch, a 1991 shooting attack on the U.S. Embassy in Bonn and a 1993 prison
May 28, 2026 · via ynetnews.com
May 25, 2026 - Company - Stories - Technology - AI & Robotics - R&D - Circular Economy May 28, 2026 Company / Press Releases Osaka, Japan, May 28, 2026 – Panasonic Holdings Corporation (Panasonic HD) today announced that two of its research papers have been accepted for presentation at CVPR (IEEE/CVF Conference on Computer Vision and Pattern Recognition) 2026, one of the world’s leading international conferences in AI and computer vision. One of the two papers was also selected as a “Highlight” in recognition of its outstanding quality. The company will present the papers at the conference scheduled to be held in Colorado, United States, from June 3 to June 7, 2026. This paper presents a technology for efficiently compressing 3D spatial information, enabling both reduced information processing requirements and high spatial recognition capability. The technology is expected to contribute to advances in robotics and physical AI, where AI systems operate in the real world. In recent years, growing attention has been paid to physical AI, which enables robots and machines to recognize real-world environments, make decisions, and act autonomously. Achieving this requires advanced spatial recognition capabilities, such as understanding positional relationships among objects, and further progress in multimodal AI*1 is therefore highly anticipated. However, conventional multimodal AI-based spatial recognition technologies tend to require increasing computational cost in order to retain spatial information. By combining highly efficient compression of feature representations through clustering with staged spatial recognition learning, this technology reduces the amount of spatial information handled by multimodal AI while delivering spatial recognition performance that is equal to or better than other methods*2. For example, while some conventional 3D spatial recognition methods input approximately 8,000 tokens of spatial information into multimodal AI, this technology represents 3D space using 700 tokens. It is expected to support practical applications across
May 28, 2026 · via news.panasonic.com
Matthew Perry‘s personal assistant who injected the actor with the ketamine that led to his fatal overdose was sentenced Wednesday to 41 months in prison. The assistant, Kenneth Iwamasa, pleaded guilty in 2024 to one count of conspiracy to distribute ketamine causing death. He repeatedly gave Perry the drug despite several warning signs of danger, administering the dose that killed him on Oct. 28, 2023. The sentence puts an end to a yearslong legal saga after Perry was discovered unresponsive and floating face down in the hot tub of his Los Angeles home after becoming increasingly reliant on the drug. Four others have been charged and sentenced in connection to the death. Related Stories Iwamasa, who was paid $150,000 per year, had known Perry since 1992 and became his live-in assistant in 2022. Prosecutors said he was aware of the actor’s struggle with addiction and was warned by doctors that ketamine shouldn’t be self-administered. Starting in 2023, Perry directed Iwamasa to procure him ketamine, according to a sentencing memo. He was introduced to Salvador Plasencia, who was sentenced to 30 months last year for supplying the actor with 20 vials of ketamine over two weeks in the period leading up to the overdose, as a source. Iwamasa bought dozens of vials of the drug across several purchases, injecting Perry as the actor’s addiction worsened. “Found the sweet spot but trying different places led to running out of ketamine,” he told Plasencia. Prosecutors said Iwamasa found Perry unconscious on at least two occasions due to adverse reactions to ketamine. In the days leading up to the overdose, the former assistant injected the actor with increasing quantities. He found Perry dead in the jacuzzi after administering a large dose, Perry’s third of day. Prosecutors sought a sentence of 41 months. They argued
May 27, 2026 · via hollywoodreporter.com
Lessons from building reliable LLM inference infrastructure by Ying Chen, Wendy Hu, Ankit Mathur, Mike Eastham, Pei-Lun Liao, Wai Wu and Arjun DCunha At Databricks, we’ve built a unique inference platform that serves every frontier model, from open source models like Kimi and Qwen to proprietary models like OpenAI, Gemini, and Claude. We power inference for some of the largest agentic applications in the world, including Superhuman, Yipit Data, Fox Sports, and others. Today, we serve more than 120T tokens per month. What makes LLM serving hard at scale is reliability. With agents becoming the interface to how we work and live, inference demand is growing exponentially. We see extremely spiky demand curves that peak during working hours. What does it mean to be a reliable inference platform? The contract appears simple. Availability is whether the request can be processed. But, in practice, different use cases have significantly different latency requirements, and this factors into availability. The most advanced agents cannot afford for p95 time to first token (TTFT) and output tokens per second (OPTS) to degrade. In a multi-tenant system for LLM serving, achieving both reliability and latency is challenging. Reliability Frontier performance requires the latest GPUs with high bandwidth interconnect for KV cache transfer. These compute setups are fundamentally less reliable than classical CPU systems, and they are expensive. Given that all-to-all communication is required,, a single node’s downtime requires reconfiguration for multiple other nodes in disaggregated prefill/decode setups. The highest bandwidth networking requires single-spine connectivity in a single physical rack (e.g. NVL72 systems). This means failures in specific systems within a single datacenter rack can create a wide-blast-radius outage. Standard tricks in distributed systems like multi-AZ or leveraging backup instance types mean keeping expensive backup GPUs idling, a cost-prohibitive option. Overprovisioning is another classic trick, but given
May 27, 2026 · via databricks.com
CasaPerks Technologies, Inc. Raises $15.8M Seed CasaPerks Technologies raises a $15.8M seed round led by Longevity Equity to scale its AI-powered resident loyalty and workplace recognition software platforms. CasaPerks Technologies, Inc. Raises $15.8M Seed CasaPerks Technologies, Inc., an Austin, TX-based AI-powered intelligent rewards platform, has closed $15.8 million in seed round. Investors The funding round was led by Longevity Equity, a private investment vehicle headed by Will Steakley. Additional participation came from institutional investors and various top real estate operators. CasaPerks Technologies Use of Funds Capital from this seed round will be used to accelerate the company’s expansion across student housing and conventional multifamily real estate sectors. The funds will also scale the WorksPerks AI-powered workplace recognition platform, invest in the company’s sales engine, and grow its brand partnership ecosystem to further develop its consumer rewards business. About CasaPerks Technologies Led by CEO Kevin J. Bradt, CasaPerks Technologies provides an AI-powered rewards platform designed to help organizations improve resident and employee engagement. The company develops software solutions, including CasaPerks for resident loyalty in student housing and multifamily properties, and WorksPerks for employee recognition in small and medium businesses, both built on Anthropic’s Claude. By leveraging AI to personalize rewards and surface retention insights, the company aims to help property managers and business owners increase activation, improve retention, and reduce turnover. Funding Details Company: CasaPerks Technologies, Inc. Raised: $15.8M Round: Seed Funding Date: May 26, 2026 Lead Investor: Longevity Equity Additional Investors: Institutional investors, top real estate operators Company Website: https://www.casaperks.com/ Software Category: SaaS Source: https://www.morningstar.com/news/business-wire/20260526724861/casaperks-technologies-inc-ai-powered-rent-and-workplace-rewards-platform-closes-significant-158m-seed-round
May 27, 2026 · via thesaasnews.com
Artificial intelligence | UK Regulatory Outlook May 2026 Published on 27th May 2026 UK updates: King's Speech 2026: AI aspects | Crime and Policing Act 2026: AI-related provisions | ICO sets out five steps to combat AI-powered cyber threats | Government publishes response to AI and copyright report | EU updates: EU legislators reach provisional agreement on Digital Omnibus on AI | Commission consults on draft guidelines for the classification of high-risk AI systems under the EU AI Act | Commission opens consultation on draft guidelines on AI transparency obligations under the EU AI Act UK updates King's Speech 2026: AI aspects King Charles III opened Parliament on 13 May 2026 with the announcement of 37 bills his ministers would like to pass in this parliamentary session. While there is no mention of any plans for further regulation of AI (including in respect of the continuing debate around AI and copyright), the new Regulating for Growth Bill will put regulatory "sandboxes" onto a statutory footing to allow businesses across the economy, through the temporary relaxation of existing rules, to test innovative AI products and other emerging technologies safely, in a real-world setting. The Police Reform Bill will deliver reforms to policing by, among other things, "equipping the police with the technology and skills [they need]". This includes the introduction of a new legal framework governing the use of facial recognition and similar technologies. The framework will set out the situations in which the use of these technologies is justified and create a single, expert independent regulatory body to provide independent oversight and advice. See this Insight for more on these and other announcements in the King's Speech. Crime and Policing Act 2026: AI-related provisions The Crime and Policing Bill received Royal Assent on 29 April, becoming the Crime and Policing
May 27, 2026 · via osborneclarke.com
5 Ways To Tell If Someone's Recording You With Smart Glasses As cool and convenient as smart glasses may seem conceptually, their actual use in the real world comes with a very real concern: People recording your private moments with smart glasses. In a time when it's becoming harder to keep a lid on your digital privacy, having your real-life privacy violated in this manner can be extremely frustrating, especially as brands like Meta upgrades its smart glasses with features like facial recognition. While there are equally high-tech solutions to this problem, like smart eyewear detection apps, if you don't have your phone handy, the only other option is to be vigilant for signs of recording, like obvious camera lenses, suspicious motions, and audio cues. While smart glasses are generally designed to be discreet, many models include tells in their construction, some subtle, some overt. Nice as it would be to not think about something like this, you have to consider your privacy in the age of smart tech-powered surveillance, and that means keeping a sharp eye out for the warning signs that someone is capturing your image without consent. Spot a recording light In the best-case scenario, whatever brand of smart glasses an onlooker is wearing included privacy warning features into its design. In the same way that a traditional handheld camera has a red light indicating that it's recording, so to do many models of smart glasses. Major manufacturers like Ray-Bans and Oakley place small, yet distinct indicator LEDs on the front of their frames, usually in one of the corners. Ideally, this LED will be clearly illuminated whenever the glasses' built-in camera is actively capturing stills or footage. Unfortunately, this helpful warning light is not a given. Not only is it not present on all models of
May 27, 2026 · via bgr.com
The Swiss venture capital community SwissVC, founded in 2015, is repositioning itself to a smaller, structured network for full-time venture capital investors deploying capital in Switzerland. The change comes with new leadership, a board overhaul and a plan to incorporate as a non-profit association. Over 11 years, SwissVC grew into a network of more than 500 venture capital professionals across Switzerland, Europe and the US. "The old model created energy, but not enough operating leverage," said Raph Grieco, incoming lead of SwissVC. "What active investors need now is not more ambient ecosystem activity. They need sharper peer exchange, better pattern recognition, and trusted rooms where real operating questions get worked through." The repositioning centers on a system of working groups, which SwissVC calls guilds, around three areas: deal intelligence, firm architecture, and portfolio management and returns. Each guild is intended to bring together eight to 15 members through a mix of invitations and applications. Legal, tax, fund-operations and AI specialists will be brought in to work directly with the guilds. The new SwissVC is aimed first and foremost at active, deploying, full-time venture investors in Switzerland. This means the "people" in the new SwissVC are not a general audience; they are practitioners with specific operating questions, relevant pattern recognition, and a willingness to contribute to shared outputs. The model explicitly rejects passive membership inside the guild structure and treats contribution as a requirement for access to the highest-value rooms. SwissVC also plans to scale back its programming to one flagship event per year, alongside a calendar of working sessions, and to split membership options into different tiers depending on adherents’ level of contribution to the ecosystem. The community will be led by Raph Grieco, who launched UPCOMINGVC, an educational platform for aspiring venture capitalists, in 2017 and then went on
May 27, 2026 · via startupticker.ch
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May 27, 2026 · via realestate.com.au
17% of initial adult decisions later found to be children, with hundreds of cases still pending To accompany new data on age assessments in last week's immigration statistics, the Home Office published a one-off report looking at how many asylum seekers have their age assessed. Image credit: UK GovernmentThe report, which is available here, shows that a significant proportion of asylum seekers initially classified as adults by immigration officials are later determined to be children. The Helen Bamber Foundation notes it is the first time the Home Office has published detailed outcomes on age disputes. Figures in the Home Office report cover the period from July to December 2025. They show that border officials made Initial Age Decisions (IADs) that 1,885 individuals claiming to be minors were adults. Of those, 949 subsequently underwent a full age assessment by a local authority or the National Age Assessment Board (NAAB). To date, 326 of these individuals (17% of the original 1,885) have been confirmed to be children, while 377 cases remain pending. The Home Office noted that the number of people undergoing age assessments has risen sharply in recent years, reaching 6,420 individuals in the year ending March 2026. This means 7% of all asylum claimants were subject to an age assessment, compared to between 1% and 3% annually before 2020. The report attributes this increase to the rise in arrivals via small boats, who are less likely to hold documentation proving their identity. The statistics show a distinct variation in outcomes depending on the assessing body. Between July 2025 and March 2026, 51% of IADs conducted by border officials resulted in an adult classification. In contrast, local authority assessments determined the individual to be an adult in only 28% of cases, finding them to be a child in 68% of instances.
May 27, 2026 · via ein.org.uk
Facial recognition vans will be deployed in Bicester this Friday.
Thames Valley Police will deploy Live Facial Recognition vans in Sheep Street on Friday, May 29.
The specialist unit will work alongside local officers to identify known suspects, deter crime and help keep the community safe.
READ MORE: Drugs still being dropped by drones into UK prison
The force says informing the community in advance is part of a commitment to transparency, even though it may lead some individuals to avoid the area.
A live CCTV feed captures facial images before they are input into the system.
The Live Facial Recognition technology then analyses facial features in real time to create a biometric template against a predetermined watch list of people suspected of crimes or wanted by the courts.
May 27, 2026 · via oxfordmail.co.uk
The Department of Homeland Security is expanding its capacity to scan irises as part of its mass deportation efforts, a move that has raised concerns among privacy experts that the agency, flush with an influx of funding, is gathering biometric data from people it detains. The agency awarded a $25 million no-bid contract last week to BI2 Technologies, a company that specializes in iris scanning. The new contract is more than five times the amount of the company's last DHS contract, awarded last fall. NPR reached out to BI2 multiple times regarding its work with ICE, but did not hear back. As part of its proposal to the company, DHS requested more than 1,500 iris scanners, as well as access to the company's mobile app, including a database where iris scans are stored. Irises contain intricate patterns that are unique to each person, similar to a fingerprint. DHS declined an interview, but told NPR in a statement that ICE officers use iris recognition technology "to assist in accurately identifying individuals encountered during immigration enforcement and removal operations, including confirming identities and backgrounds of individuals who may be subject to enforcement actions." That may include people like Norelly Mejías Cáceres. One night last fall, she was with her husband and first grade son in her Chicago apartment when a Black Hawk helicopter filled with federal immigration officers descended on the building. "We were in our room. We were sleeping. When they knocked on the door, they were pointing guns at us and they ordered us to leave," Mejías told NPR, speaking through an interpreter provided by the University of Chicago Immigrants' Rights Clinic, which is representing Mejías in a complaint against the federal government. Mejías fainted during the raid. When she came to, officers pointed a smartphone at her face to
May 27, 2026 · via houstonpublicmedia.org
Pitcher Joins Forces with EasyPicky to Streamline Operations References: prnewswire Pitcher, an artificial intelligence-native sales enablement platform for enterprise commercial teams, has formed a strategic partnership with EasyPicky, a software company specializing in retail execution optimization and field data collection for consumer packaged goods manufacturers. This integration allows shelf data captured via EasyPicky's smartphone video technology to flow directly into Pitcher's workflow system. The combined offering gives field representatives the ability to record a short video of store shelves even without an internet connection, after which EasyPicky's image recognition analyzes product availability, out-of-stocks, merchandising compliance, and display placement, and then Pitcher translates that analysis into specific next-best-action recommendations and prioritized visit planning. Rensilin Pathrose, Senior Director of Digital Experience, Digital Business Transformation & Digital Commerce at Mondelēz International, shares: "Together, this integration bridges the gap between sales and shelf-level compliance, delivering end-to-end visibility across the retail execution lifecycle." Image Credit: PITCHER The combined offering gives field representatives the ability to record a short video of store shelves even without an internet connection, after which EasyPicky's image recognition analyzes product availability, out-of-stocks, merchandising compliance, and display placement, and then Pitcher translates that analysis into specific next-best-action recommendations and prioritized visit planning. Rensilin Pathrose, Senior Director of Digital Experience, Digital Business Transformation & Digital Commerce at Mondelēz International, shares: "Together, this integration bridges the gap between sales and shelf-level compliance, delivering end-to-end visibility across the retail execution lifecycle." Image Credit: PITCHER Trend Themes - AI-driven Shelf Analytics — A foundation for predictive assortment and dynamic merchandising systems that can redefine in-store decisioning and reduce stockouts. - Offline-first Field Data Capture — An approach where smartphone video capture and edge processing create continuous, reliable shelf intelligence in connectivity-challenged environments. - Workflow-integrated Next-best-action — A model that fuses image-recognition insights with prioritized visit planning,
May 27, 2026 · via trendhunter.com