DC Superior Court Judge Neal Kravitz ordered prosecutors to provide more information on an artificial intelligence (AI) facial recognition software program that was used to identify a shooting defendant on July 1. Marquis Foster, 43, is charged with assault with intent to kill while armed, aggravated assault while armed, and two counts of possession of a firearm during a crime of violence or dangerous crime for his alleged involvement in a non-fatal shooting that wounded one individual on June 8, on the 2500 block of Georgia Avenue, NW. The individual sustained gunshot wounds to his chest, arm, and hip. Foster was identified using surveillance footage of a suspect taken from nearby the crime scene. Police then reportedly used a facial recognition program, Clearview AI, to scan over 30 billion publicly available facial images for comparison. The image of the potential suspect that was identified by the software program was then imported into a Metropolitan Police Department (MPD) mugshot’s database, where police identified Foster from an existing image. The victim identified Foster based on a photo line up that pictured eight other individuals. He said he did not recognize any of the other photographs. During the hearing, Foster’s lawyer, Elizabeth Weller, said “I’ve never heard of this before,” and requested more information about the process. The prosecution said they are trying to get more information from the police. Judge Kravitz told the prosecution that Weller is entitled to information about the program and he expects them to provide it. Parties are scheduled to reconvene on July 22.
Jul 6, 2026 · via dcwitness.org
Artificial intelligence did not suddenly appear with ChatGPT. It evolved over four decades through advances in computer graphics, game development, machine vision, and parallel computing. Graphics processors, originally built to draw pixels, gradually became programmable computing engines capable of training neural networks and running AI models. JPR followed that evolution from the beginning, covering graphics hardware, GPU computing, machine learning, and AI processors as each technology emerged. Looking back, the progression seems remarkably logical, even if it rarely felt that way at the time. I might not exist but for you. People often ask when JPR began covering artificial intelligence. The answer depends on what they mean by AI. Today’s AI refers to large language models, generative AI, autonomous agents, and foundation models. Forty years ago, AI meant something entirely different. Researchers talked about expert systems, neural networks, fuzzy logic, machine vision, and pattern recognition. Game developers used the term to describe scripted routines that controlled non-player characters, while engineers applied AI techniques to CAD, robotics, and image analysis. JPR and its predecessor, JPA, covered many of those technologies years before anyone imagined conversational AI. When Jon Peddie Associates opened its doors in 1985, the graphics industry stood at the beginning of its transition from fixed-function hardware to programmable computing. Graphics workstations powered CAD, scientific visualization, and digital content creation. Researchers already experimented with neural networks and knowledge-based systems, although computing power limited what they could accomplish. AI remained an enabling technology rather than a market of its own. The first AI many consumers encountered appeared in games. During the mid-1990s, developers programmed enemy behavior with lookup tables, decision trees, and finite-state machines. Characters reacted to player actions, navigated environments, and coordinated attacks through carefully designed logic rather than learning. In 1994, Matrox demonstrated Sentõ, a 3D game that showcased
Jul 6, 2026 · via jonpeddie.com
Artificial Intelligence Automatically redact PII in images with Amazon Nova Sharing data internally across teams, externally with partners, or using it for workloads such as machine learning (ML) model training is fundamental to modern business operations. However, when that data contains Personally Identifiable Information (PII), organizations face significant legal and compliance obligations under regulations such as the General Data Protection Regulation (GDPR) and the Payment Card Industry Data Security Standard (PCI DSS). If PII isn’t properly redacted before sharing or processing data, the result can be regulatory penalties, reputational damage, and erosion of customer trust. PII redaction in real-world image datasets is particularly challenging. Unlike structured text, PII in images can appear in unexpected places and forms: a partial face captured at the edge of a frame, a face reflected on the polished surface of a car, a partially visible street sign that, combined with other visual cues, becomes identifiable, or a document lying on a desk in a wide-angle photo that reveals names, addresses, or ID numbers. These edge cases routinely defeat single-purpose masking tools. Amazon Nova is a family of foundation models with advanced vision understanding capabilities, making it a strong candidate to serve as the intelligent coordinator for complex image analysis workflows. Nova interprets image content holistically, reasons about whether something constitutes PII in context, including the subtle and unusual cases described earlier, and directs the entire redaction pipeline from start to finish. By understanding the “what” of PII, Nova coordinates specialized tools to achieve pixel-level precision in redaction while preserving the overall value of the image. In this post, we present a multi-step pipeline directed by Amazon Nova, which uses its contextual vision reasoning to coordinate complementary tools, including Meta’s open-source Segment Anything Model (SAM 3) deployed on Amazon SageMaker AI for pixel-level segmentation, and Amazon
Jul 6, 2026 · via aws.amazon.com
For travelers enrolled in TSA PreCheck, getting through airport security without ever pulling out an ID is becoming a little more straightforward. The Transportation Security Administration (TSA) has partnered with Google Wallet, Google’s digital wallet app that can be used for storing credit cards, boarding passes, and digital ID on Android devices, to simplify enrollment in its growing Touchless ID program. The program uses facial recognition to quickly verify the identity of TSA PreCheck members at airport security checkpoints instead of requiring them to hand over a driver’s license or passport. The update doesn’t change what happens at the checkpoint, but it does streamline one of the more confusing parts of using Touchless ID. Until now, travelers generally had to enroll through each participating airline by uploading their passport information to a frequent flier account or airline app. If you flew multiple carriers, you often had to repeat the process. With the new integration, eligible travelers can instead use a passport-based digital ID stored in Google Wallet as a single credential across more than 100 airlines participating in the TSA PreCheck Touchless ID program. The move reflects TSA’s broader push toward a more digital airport experience. Over the past several years, the agency has expanded support for mobile driver’s licenses, biometric screening, and digital identity verification. How TSA Touchless ID works For those unfamiliar with Touchless ID, the name is fairly literal. At participating TSA PreCheck security checkpoints, travelers enter a dedicated line for Touchless ID where a camera compares a live image of their face with the passport information they’ve previously shared. If the images match, they are cleared to continue through security without presenting a physical ID. Participation is voluntary, and travelers can opt for a traditional ID check instead. Touchless ID is now available at more than
Jul 6, 2026 · via afar.com
Home Secretary gives evidence on the work of the Home Office
6 July 2026
On Tuesday 7 July 2026 the House of Lords is hearing evidence from the Rt Hon Shabana Mahmood MP, Home Secretary.
Purpose of the session
This is a one-off session examining the work of the Home Office. The Committee are expected to explore the Immigration and Asylum Bill announced last week, the Common Travel Area, and police use of facial recognition technology.
Possible themes include:
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The Immigration and Asylum Bill
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The Entry/Exit System
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Facial recognition technology
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An update on the Fairer Pathway to Settlement proposals
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Progress on the Safer Streets mission
Further information
Jul 6, 2026 · via committees.parliament.uk
Abstract Machine vision and AI-based defect detection systems are increasingly deployed in manufacturing to support consistent product quality and high production efficiency. However, these automated inspection systems often suffer from sensitivity to imaging variability, dependence on large labeled datasets, and the need for manually engineered preprocessing pipelines–limitations that hinder accuracy and reliability in real industrial conditions. This study presents a novel approach for optimizing image preprocessing strategies for neural network–based defect detection using a genetic algorithm (GA)-driven evolutionary framework. The method systematically explores a set of 48 preprocessing operations and automatically evolves optimal filter sequences through multi-objective fitness evaluations incorporating classification accuracy, computational efficiency, and preprocessing robustness. The genetic algorithm generates diverse preprocessing sequences of varying lengths (3–6 filters) and evaluates a broad range of population sizes (20–100 individuals) and generation limits (20–150 generations) to identify configurations that maximize detection performance while reducing data requirements. Extensive experiments across three product categories show that GA-optimized preprocessing significantly outperforms raw-image baselines and manually designed preprocessing pipelines. Results demonstrate substantial gains in classification accuracy (up to 15%) and improved data efficiency, requiring 30–60% fewer training images to achieve target performance. The findings confirm that evolutionary optimization provides a robust and scalable solution for industrial defect detection, enabling more reliable and efficient machine vision systems for modern manufacturing environments. Similar content being viewed by others Introduction Machine vision integrated with artificial intelligence (AI)-based defect detection is widely utilized in manufacturing and production environments to ensure product quality, regulatory compliance, and operational efficiency. These automated inspection systems play an instrumental key role in detecting, identifying, and localizing defects, thus maintaining consistency and reliability throughout the production cycle. As demand for precision and automation continues to grow, improving the accuracy and robustness of defect detection systems is essential to reduce variability in final products and maximize
Jul 6, 2026 · via nature.com
Abstract Deep neural networks have achieved remarkable success in image recognition tasks, yet they remain vulnerable to carefully designed input perturbations that can cause incorrect predictions while producing little visible change in the original image. In this study, we introduce the Turing Deimatic Attack (TDA), a biologically inspired adversarial attack that generates structured perturbations using reaction-diffusion processes that mimic natural pattern formation. Unlike conventional approaches that rely on gradient information from the target model, TDA operates without model queries and creates coherent spatial patterns from a compact set of control parameters. We evaluated TDA on seven benchmark datasets spanning natural images, facial recognition, medical imaging, and traffic sign classification using both convolutional and transformer-based neural network architectures. The proposed method consistently reduced classification performance across all datasets while maintaining high visual similarity to the original images. Mean attack success rates reached 48.3% on Fashion-MNIST and 63.3% on Labeled Faces in the Wild, with individual models exhibiting success rates of up to 80.5%. Despite these performance reductions, image quality remained largely preserved, with structural similarity values exceeding 0.93 and perceptual similarity scores remaining below 0.10 across all benchmarks. Our experiments further reveal that model susceptibility varies with the interaction between the spatial structure of the perturbation and the features used by different architectures. Convolutional networks were generally more vulnerable on lower-resolution images, whereas transformer-based models became increasingly susceptible at higher resolutions. Ablation analyses indicate that attack effectiveness is associated primarily with the spatial organization of the generated patterns rather than with perturbation magnitude alone. These findings demonstrate that biologically inspired pattern-generation mechanisms can expose systematic weaknesses in modern vision systems and provide a practical framework for evaluating model robustness under realistic, spatially structured perturbations. Acknowledgements The author gratefully acknowledges the developers of the publicly available datasets and pretrained models used in
Jul 6, 2026 · via nature.com
Physical artificial intelligence (physical AI) technologies that understand the interaction between light and matter, perceive space, predict future situations, and act accordingly have been developed. They are expected to serve as a reference for implementing next-generation autonomous systems that operate in the real world, such as self-driving vehicles and humanoid robots. KAIST announced on the 6th that Professor Yoon Sung-ui’s research team in the School of Computing has developed four technologies: one that recognizes transparent objects such as glass and water, one that analyzes the interaction of light and matter to understand surrounding environments, one that enables robots to navigate to a destination using a single photograph, and one that predicts future situations to plan actions. These achievements were reported in four papers. Two were presented as oral talks and two as highlight papers at the International Conference on Learning Representations (ICLR 2026) and the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026). The team developed a visual technology for recognizing transparent environments called ‘GLINT’, enabling AI to accurately perceive transparent objects such as glass. Conventional AI systems struggle to properly separate objects reflected in glass from the scenery beyond it. GLINT separates and analyzes both the reflections on the glass and the objects behind the glass. They also developed ‘RadioGS’, a technology that understands light and material properties and reconstructs scenes. By enabling AI to grasp how light hits an object, reflects, and scatters, the system can accurately infer the material of objects and the surrounding environment even when the lighting conditions change. The team also created ‘Visual-RRT’, an image-based technology for planning robot paths, thereby finding a way to connect visual information to actual behavior. Conventional robots required coordinate data for the destination, but with Visual-RRT, the robot compares the scene it sees with a target
Jul 6, 2026 · via dongascience.com
5 Android Phone Apps You Can Safely Uninstall There are many reasons why a phone may come with unwanted software preinstalled. Perhaps you purchased a Samsung phone that comes with a suite of software from the company, which is how the company offers features only Samsung Galaxy devices have. Or maybe you got a deal at your carrier for the latest handset and it came with a bunch of carrier bloatware. Even if you buy a Pixel directly from Google, these devices can offer their own bloat with extraneous apps like Google TV. No matter which carrier or manufacturer you prefer, there are a handful of preinstalled apps that came with your phone that can be safely uninstalled, or at the very least, hidden. If you've used a Samsung phone, there's a high chance it came with a Meta app or two preinstalled (some are even hidden) or a fleet of Microsoft Office apps you don't need. Worse, many OEMs duplicate Google's work, offering their own file browsers, image storage solutions, and note-taking apps. Samsung notoriously offers its own suite alongside Google's, but it's not alone either. Why would any manufacturer or carrier leave that potential revenue stream for Google to eat up when they can easily create their own proprietary version? All of this bloat exists to compete for your attention or data, and the truth is, most is unnecessary. So rather than live your Android life with bloatware, we're here to share the more prominent apps you can safely uninstall, from unnecessary carrier apps to redundant security apps. Here's your cheat sheet so you know what you can safely remove or hide in order to transform your Android experience into something much more easily navigated and purpose-driven. It's time to take control of your Android phone. Carrier apps
Jul 6, 2026 · via bgr.com
Warakorn Luangluewut, Researcher, Defense Technology Institute (DTI), Thailand By Sol Gonzalez Meet the young public sector officials in the inaugural Young & Official Report 2026. Warakorn Luangluewut, Researcher, Defense Technology Institute (DTI), Thailand. Image: Warakorn Luangluewut. 1) What does public service mean to you? Can you share more about your role in the public sector? I am primarily engaged in research related to defense technology, with responsibilities encompassing research activities, the development of Artificial Intelligence (AI) applications, and communication system development. My professional background began with studies and practical work in image processing, signals and systems, machine learning, and other related fields. I have subsequently applied this knowledge to AI, communication technologies, and other relevant areas in order to maximise benefits for myself, the public, and the nation. In my work, I strive to develop expertise and innovations in areas of personal interest while ensuring alignment with national needs and organisational policies, so that the outcomes can deliver the greatest possible benefit to all stakeholders. 2) Tell us about a project you championed. What impact did it have on the community? My work provides benefits across the military, civilian, and research sectors. In the military domain, one of my recent projects involves the development of a system for detecting whether training postures are performed correctly. This system helps make training more convenient, faster, and more efficient by introducing an application that supports instructors in their work. As a result, instructors are able to supervise and evaluate trainees more effectively, especially in situations where the number of instructors is significantly smaller than the number of cadets. Therefore, this work plays an important role in enhancing military training efficiency. In addition, I have also worked on the development of a flood area detection system, which can be further extended into an automatic
Jul 6, 2026 · via govinsider.asia
The country's three major mobile carriers and other operators will apply the strengthened verification procedures to both in-person and online sign-ups. The stricter procedures will apply to new subscriptions and number transfers, while simple device upgrades within the same carrier will be excluded. Customers are required to undergo facial recognition, which compares the photo on their ID with a live image of themselves. Those who do not wish to do so or fail the scan may instead verify their identity through a mobile ID app or by submitting a resident registration record issued the same day by an authorized government agency. The ministry said the new measures are intended to crack down on sign-ups made through identity theft. While mobile phones are widely used for identity verification in financial transactions and online services, those registered under someone else's name can be sold as "ghost phones" and used for voice phishing, illegal loans and smishing. But some inconvenience is expected, as facial recognition can fail depending on lighting conditions or differences between an ID photo and a person's current appearance. Online sign-ups and older users may also find the process more burdensome. The ministry said it will work to minimize disruption by gradually offering more verification options, while also stepping up monitoring of retailers. Inspections and penalties will be strengthened for stores and agencies involved in fraudulent activations. Copyright ⓒ Aju Press All rights reserved.
Jul 6, 2026 · via m.ajupress.com
Madison Square Garden's list of activists critical of the company raises freedom of expression concerns
"Madison Square Garden Made Dossier on Activists Who Opposed Facial Recognition" 23 June 2026
Madison Square Garden compiled a list of activists who have publicly criticized the venue’s use of facial recognition technology, putting their tweets and comments into a document that was then accessible to other people inside the company, 404 Media has found...
...The document, titled “Facial Recognition Activists.docx” and included in a folder named “Activists,” lists three people who have criticized MSG’s use of facial recognition: Evan Greer, director of digital rights group Fight for the Future; Albert Fox Cahn, founder-in-residence of the Surveillance Technology Oversight Project (STOP); and the EFF’s Schwartz. All three of the activists have been quoted in major media articles discussing MSG’s facial recognition technology, including in NPR and The New York Times...
...It is not clear who wrote the document. MSG did not respond to a request for comment...
Jul 6, 2026 · via business-humanrights.org
NSW Labor toughens pokies stance
The NSW state government has passed a motion with unanimous support committing to higher taxes on some clubs and a moratorium on licences for new pokie machines.
The motion would mean clubs with profits of more than $20m on machines would pay more tax, coming with a commitment from Labor to “significantly reduce” the number of gaming machines in the state over 10 years (The Guardian).
Senior party figures at Sunday’s NSW Labor conference accused state politicians of bowing to pressure from lobby groups and “looking the other way” to maintain the status quo on poker machines (SMH).
“[The motion] is about lasting structural reform,” said gaming minister David Harris at the conference. “It puts harm minimisation at the heart of our gaming system, expands support for those experiencing gambling harm, strengthens prevention and ensures accountability is built into the system, not borne by those it has failed” (SMH).
The policy would also eliminate perks such as free food for punters and make facial recognition technology mandatory in all gaming rooms (SMH).
Read more: A thousand days of inaction on gambling reform (The Saturday Paper)
Jul 5, 2026 · via thesaturdaypaper.com.au
Artificial intelligence returns home: why home AI is challenging the cloud Mini-computers, personal servers and PCs designed to run models locally. From Raspberry Pi to Nvidia, the home AI ecosystem is growing: greater control over data, less reliance on the cloud and a new balance between privacy, cost and ease of use. A small box on the desk – and the AI is ready to go. On-premises, so to speak. Under our control. It’s a choice that some companies are already making to keep cloud-based AI costs down, but one that is also beginning to catch on amongst some of the more savvy consumers and professionals. The best-known symbol of home AI is probably the Raspberry Pi. Originally designed as a mini-computer for education and experimentation, it can now be transformed into a platform for artificial intelligence thanks to the dedicated accelerators in the AI Hat+ family. For just a few dozen euros, you can add inference capabilities for applications such as image recognition, environmental monitoring, automation and small local agents. The AI Hat+ accessory is priced from around 70 dollars for the 13-tops version (thousands of billions of operations per second), whilst the 26-tops model costs around 110 dollars. You’ll also need to add a Raspberry Pi 5, a power supply, storage and cooling. A complete system can easily cost over 200 euros. The products are available via the official Raspberry Pi website and European distributors such as Kubii and Melopero. It’s an option that’s gaining popularity amongst video creators. There are more sophisticated alternatives. Nvidia, the market leader in AI chips, offers the Jetson Orin Nano Super Developer Kit. This is a platform designed for robotics, computer vision and edge AI, capable of processing images, videos and sensor data directly on the device. With performance reaching 67 TOPS
Jul 5, 2026 · via en.ilsole24ore.com
A Polish Soldier with the Armed Forces of the Republic of Poland march after receiving a recognition during the opening ceremony of a joint Fourth of July celebration in Poland, July 4, 2026. The event brings together Polish service members and U.S. Army Soldiers from Task Force Danger as they mark 250 years of American freedom and independence with food, games, and live performances. (U.S. Army photo by Sgt. Roberto Diaz)
| Date Taken: | 07.04.2026 |
| Date Posted: | 07.05.2026 06:12 |
| Photo ID: | 9793133 |
| VIRIN: | 260704-Z-DV259-1600 |
| Resolution: | 3319x4978 |
| Size: | 1.72 MB |
| Location: | PL |
| Web Views: | 17 |
| Downloads: | 3 |
This work, Task Force Danger 4th of July Celebration [Image 8 of 8], by SGT Roberto Diaz, identified by DVIDS, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.
Jul 5, 2026 · via dvidshub.net
We are in an era where a glance can unlock a phone, authorise a payment, or clear a security checkpoint. Facial recognition is increasingly relied upon as a fast and convenient form of identity verification. But cybersecurity experts warn that the technology is not foolproof, and that hackers are developing sophisticated methods to bypass it using nothing more than a photograph. In recent months, incidents of biometric fraud have risen, highlighting an unsettling reality: the same facial images people share online for convenience can be weaponised for crime. Facial recognition systems are used in everything from smartphone security to border control. But experts say that while the technology has improved, so too have the tools used to defeat it. “Facial recognition is only as strong as its anti-spoofing measures,” said Dr Lena Ortiz, a cybersecurity researcher at the Institute for Digital Trust. “When those protections are weak or absent, a photo becomes a key.” Officials and researchers point to multiple attack methods now being used by criminals, including photo spoofing, deepfake videos, and even 3D-printed masks. Simple Photos One of the most common attacks is deceptively low-tech: using a high-resolution photo to trick a scanner. According to Sumsuber, in many systems, the scanner cannot distinguish between a live face and a still image. Hackers have exploited this by obtaining images from social media, leaked databases, or even public footage. “It’s a simple attack,” said Jordan Patel, a cybersecurity analyst tells Sumsuber media. “But it works because many systems still lack liveness detection.” This vulnerability has been documented in multiple cases where attackers gained access to smartphones, financial apps, and secure facilities by presenting nothing more than a printed photograph. Many facial recognition systems rely on 2D image matching, which means they compare the geometry and features of a face without
Jul 5, 2026 · via eastleighvoice.co.ke
An Giang (VNA) – Amid the hum of machinery and the rhythmic movements of robotic arms in the training workshop of An Giang Vocational College in An Giang province, lecturer Nguyen Duc Tai patiently guides students through programming commands on computer screens. For years, the 39-year-old has worked to bring advanced technologies once found only in modern factories into vocational classrooms, helping bridge the gap between education and industry. Turning ideas into practical training tools Tai developed a passion for scientific research and technological innovation while at university, believing science should be applied to solve real-world problems. After joining An Giang Vocational College, he realised the school's training equipment lagged behind technologies used by businesses, while purchasing modern machinery required significant funding. Instead of waiting for new equipment, he designed and built training models himself. One of his most notable innovations is a three-axis camera robot integrating precision mechanics, control programming and AI-based image processing. Built using Jetson Nano, Arduino, Python, OpenCV and YOLO, the model enables students to practise computer vision and industrial automation in the classroom. Rather than relying solely on textbooks, students programme robots, train AI image-recognition models and develop complete automation systems during practical sessions. Tai said this hands-on approach helps them master new technologies while meeting industry demands. His work has earned widespread recognition. He has led numerous research projects and won prizes at national competitions for self-made teaching equipment. His three-axis camera robot received the Vietnam General Confederation of Labour's Creative Labour Certificate in 2025, following the same honour for his autonomous robot project in 2022. In 2023, he was honoured as one of Vietnam's outstanding young teachers. Helping vocational students master AI After more than a decade in vocational education, Tai has built a learning environment where students gain early exposure to AI,
Jul 5, 2026 · via en.vietnamplus.vn
“While it is for public use, it doesn’t mean that we breach your privacy,” he said in Miri after launching the Miri Smart City command centre, Dayak Daily reported.
While the system captures real-time images of passing motorcycles and automatically logs vehicle number plates, the purpose is to provide a more active, secure environment for citizens, he was quoted as saying.
The real-time tracking system operates over a 77km grid and uses artificial intelligence. Abang Johari expressed confidence that the framework will eventually serve as a model to be expanded across the state.
The premier said he had suggested that the command centre have another app where they can summarise all the activities within a week. The weekly data summary will allow the city council to constantly monitor patterns and steadily improve public service delivery across the grid.
Jul 5, 2026 · via freemalaysiatoday.com
▲ Facial recognition introduced for mobile phone activation to strengthen crackdown on illegal burner phones Starting July 6, enhanced identity verification procedures, including facial recognition, will be implemented across all mobile carrier and budget phone channels for new mobile phone activations or carrier switches. According to the Ministry of Science and ICT on July 5, the three major mobile carriers and budget phone operators will enforce stricter identity verification protocols than the existing ID card checks across all channels, including offline agencies, retail stores, and online platforms, beginning July 6. This measure is designed to prevent illegal mobile phone activations through identity theft, thereby curbing public crimes such as the use of burner phones and voice phishing. The government has decided to expand the system, which has been in a pilot phase since the end of last year, to all channels. Consequently, applicants for new subscriptions or number portability must choose one of the following methods to verify their identity: facial recognition, the Ministry of the Interior and Safety's mobile ID app, or a resident registration abstract issued on the same day. Device changes, where a user switches only the handset within the same carrier, are not subject to these requirements. Initially, the government intended to make facial recognition mandatory. However, following recommendations from the Personal Information Protection Commission and the National Human Rights Commission of Korea to ensure user choice due to the sensitivity of facial data, the plan was revised to a multi-factor authentication system. The government expects that by blocking identity theft at the activation stage, the measure will be effective in reducing crimes such as the distribution of burner phones and voice phishing, especially as mobile phones are widely used as a means of identity verification for financial transactions and various online services. Regarding concerns over
Jul 5, 2026 · via news.sbs.co.kr
World's largest digital camera stuns with 'Ocean of Stars' image Millions of stars, smears of dust, and even background galaxies pack this image, the first major Milky Way view from the Vera C. Rubin Observatory in northern Chile. The picture, fittingly dubbed Ocean of Stars, marks the beginning of Rubin's 10-year Legacy Survey of Space and Time. It's a preview of what the observatory's Simonyi Survey Telescope will do over the next decade: snap the same crowded star fields every few nights so astronomers can play one epic game of Spot the Difference. Together those space images will form a detailed timelapse video of the visible southern sky. You May Also Like "It's taken 20 years of hard science, engineering, and more to get to the point where we can call 'action' as we start rolling on this blockbuster movie of the universe," said Phil Marshall, deputy director of Rubin's operations, in a statement. "Millions of alerts in just the last couple of months show that Rubin is up and running as a discovery machine." By "alerts," Marshall is referring to the roughly 7 million notifications the observatory sends out about things that have changed in the sky each night. Those messages flood alert brokers — systems programmed to sort and classify the information for scientists. Rubin, built by the U.S. National Science Foundation and the Department of Energy, stands on Cerro Pachón, a desert peak high in the Chilean Andes, where the air is clear, dry, and steady. It takes its name from astronomer Vera Rubin, whose work revealed some of the first strong evidence for "dark matter" — an invisible, abundant substance in space that does not give off or interact with light. Ocean of Stars points toward the constellation Lupus, close to the crowded plane of the
Jul 4, 2026 · via mashable.com