Live facial recognition technology to be used by WA Police in Australian first By Keane Bourke, ABC Western Australia will become the first place in the country where police will trial real-time facial recognition cameras, scanning crowds for people wanted by police, registered child sex offenders and missing persons. The cameras, which will be deployed in a marked police van outside major events or in crowded areas, will scan faces to be cross referenced with a database of targets. Police Commissioner Col Blanch said that database will contain about 4,000 people with outstanding arrest warrants and thousands of registered child sex offenders, as well as people reported missing. The commissioner said signs alerting the public to the cameras would be clearly visible. "This is not about mass surveillance," he said. "This is about specifying those in our community who are wanted by police." If the technology detects a match, the image will be retained and an alert sent to nearby officers to confirm the person's identity. 'Increased freedoms and privacy' Commissioner Blanch said while his force had used facial recognition technology on already obtained footage for more than a decade, it was the first time in Australia police had used live feeds for almost-instant facial detection. He sought to quell concerns about potential breaches of privacy. "CCTV cameras are everywhere. They are owned by private businesses, local councils, they are around the world ... and who are they owned by, no-one would know," he said. "They capture information of everyone, they store pictures of everyone - for how long, I don't know. "This technology here pixelates those who are not on the list, does not store information, deletes it immediately. "This is actually a way that we can increase the freedoms and the privacy of our community. This is less
Jun 19, 2026 · via rnz.co.nz
Digital asset management (DAM) has moved far beyond its original role as a centralized repository for storing images, videos, and documents. Today, it functions as a dynamic operational infrastructure layer for automated content supply chains. Driven by this architectural shift, the global digital asset management market, valued at USD 5.83 billion in 2025, is projected to grow from USD 6.64 billion in 2026 to USD 18.53 billion by 2033, expanding at a CAGR of 15.80%. This trajectory reflects a broader transformation in how organizations manage digital content. As enterprises generate and distribute growing volumes of multimedia assets across websites, mobile applications, social media platforms, e-commerce channels, and customer engagement systems, DAM is increasingly functioning as operational infrastructure rather than a standalone content library. Organizations are investing in DAM platforms to automate asset workflows, improve brand consistency, accelerate content delivery, and support increasingly complex digital ecosystems. What is Digital Asset Management (DAM)? DAM is an enterprise software system that allows organizations to securely store, organize, govern, and distribute their multimedia content. Beyond basic cloud storage, modern DAM platforms utilize intelligent metadata, AI-driven workflows, and cross-platform integrations to streamline the entire content lifecycle and deliver assets seamlessly across omnichannel digital ecosystems. Leading companies such as Adobe, Canto, Acquia, Oracle, Sitecore, Bynder, Hyland, Aprimo, and IBM are continuously evolving their platforms to meet these demands. At the center of this evolution are four interconnected forces: agentic AI, omnichannel content delivery, cloud-native scalability, and expanding governance requirements. Together, these trends are transforming DAM from a storage solution into an intelligent content orchestration layer that powers the modern enterprise content supply chain. The Agentic AI Leap: From Smart Tagging to Autonomous Orchestration For much of the past decade, artificial intelligence in DAM focused on improving asset discovery through automated tagging, image recognition, and metadata generation.
Jun 19, 2026 · via kingsresearch.com
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Jun 18, 2026 · via facebook.com
ICE plans to give local police facial recognition app for immigration enforcement An Immigration and Customs Enforcement (ICE) privacy document publicly accessible on the agency’s website says a Customs and Border Protection (CBP) mobile facial recognition app will allow ICE-deputized state and local law enforcement officers to photograph people in the field, run their faces against federal identity records, and help determine whether they are removable from the U.S. The 10-page developerPrivacyPolicy (PTA), labeled ICE Task Force Module (TFM), Version ICE Privacy 09-2025, lists the app’s launch date as September 24, 2025, and says the project was in development when the document was approved by the ICE Privacy Office the next day. The document describes the TFM as a mobile application that was developed by CBP and made available to authorized “ICE non-federal law enforcement officers” operating in the field to verify a person’s identity and immigration status through facial recognition. The app is believed to be Mobile Fortify, a mobile biometric application already deployed by ICE and CBP which CBP released last year for local law enforcement agencies participating in ICE’s 287(g) Task Force Model. Discovery of the TFM document, labeled “developerPrivacyPolicy.pdf” on ICE’s website, adds a new dimension to what is known about the Department of Homeland Security’s (DHS) plan to extend the app to state and local police officers working under ICE authority. According to the document, the TFM app would run face photos against more than 250 million DHS and Department of State visa records included in subsets of CBP’s Traveler Verification Service. The response would consist of text messages instructing the officer either not to detain or arrest the person under ICE jurisdiction, or providing a reference code the officer could use outside the app to obtain additional information from ICE. A police officer or
Jun 18, 2026 · via biometricupdate.com
(AP) â Officials in Kansas City, Missouri, are preparing to equip cameras on some public buses with facial recognition software capable of identifying passengers who appear on a list of banned riders or missing persons. Supporters and opponents alike view the effort as a major litmus test for tapping the AI-powered software on a U.S. public transportation system, positioning Kansas City as the latest epicenter of a fierce debate over whether the safety benefits of artificial intelligence are worth the privacy costs. âThe idea of running face recognition on a camera that is pointed on live spaces in public is a line that until recently has never really been crossed in the last 25 years,â said Jay Stanley, senior policy analyst for the Project on Speech, Privacy and Technology at the American Civil Liberties Union. The state of Missouri declined to help fund the project as expected due to concerns with the facial recognition component. Still, the city is pushing ahead with local and federal money, said Tyler Means, chief mobility and strategy officer at the Kansas City Transportation Authority. âPrivacy is always a tricky thing,â Means said. âWeâve always had cameras on our buses. Itâs just new technology. I think in time itâll smooth over and people will realize, âWell, it didnât really feel any different.ââ Cameras that recognize a face SafeSpace Global, the Knoxville, Tennessee-based company partnering with Kansas City to run the cameras, started using live facial recognition years ago to alert nursing homes when residents left the building, then brought the technology to correctional institutions and schools. Kansas Cityâs buses represent the companyâs inaugural venture in transportation. Images captured by cameras aboard the buses would immediately be checked against any active alerts, generated when a missing person, banned rider or someone on a law enforcement watch
Jun 18, 2026 · via courthousenews.com
Following a June 10 Gazetteer SF story about the presence of high-security data collection devices from a Calgary-based company called Patronscan in a number of Castro gay bars, digital rights group Fight for the Future is calling on Mix, Badlands, and Toad Hall to remove the technology from their businesses. “We demand you immediately remove facial recognition systems like Patronscan, cancel your contracts with biometric surveillance suppliers, and commit to never again using biometric identification systems on patrons,” the petition reads. “We demand the immediate and complete deletion of identity databases in a method verifiable by outside investigators.” Gazetteer previously reported that those three bars on 18th Street all use a Patronscan product called Guard+ to screen customers as they come through the door at peak hours. That product includes a forensic ID scanner, a camera, and a monitor. It allows bouncers to verify identities; track customer behaviors; and collect, store, and, in some cases, share bar-goers’ photos and personal data, including name, age, zip code, and gender. One of the main selling points of Patronscan is access to local “flag networks,” or shared private databases of blacklisted customers that can be accessed by other businesses that use the Patronscan system. At least nine venues in the Castro are synced into the same flag network as Mix, Badlands, and Toad Hall, according to the dashboard on Mix’s Guard+, which one bouncer showed Gazetteer earlier this month. The petition, which was released publicly yesterday, comes amid a week of backlash from local queer community members against the presence of surveillance technology in Castro bars. Several local sites and LGBTQ+ media outlets like Advocate, PinkNews, and GO published articles on the situation following our original story; these articles were widely shared online, raising concerns about increased surveillance in queer spaces in a
Jun 18, 2026 · via sf.gazetteer.co
AP Bus Cameras Privacy Charlie Riedel - AP Jun 18, 2026 Jun 18, 2026 Updated 4 hrs ago Facebook Twitter WhatsApp SMS Email Print Copy article link Save People wait for the bus at a transit center Friday, June 5, 2026, in Kansas City, Mo. Charlie Riedel - AP Tags Kansas City Facial Recognition Ai Cameras Privacy Information Technology Software Biometrics Face And Voice Recognition Technology Privacy Business Sports U.s. News General News Facebook Twitter WhatsApp SMS Email Print Copy article link Save Latest e-Edition The Columbia Missourian To view our latest e-Edition click the image on the left. The Pulse of I-70A visual roadtrip from Odessa to St. Charles. Read the stories Jeanne AbbottManaging editor for print abbottjm@missouri.edu Missourian Bio Fred AnklamState Government editor 573-882-4557 anklamf@missouri.edu Missourian Bio Elizabeth BrixeyEducation editor 573-882-2632 brixeye@missouri.edu Missourian Bio Gordon DicksonCity/County Government editor gsdrrd@missouri.edu Missourian Bio Mark HorvitSocial Justice and State Editor 573-882-5700 horvitm@missouri.edu Missourian Bio Brittany HilderbrandHigher Education and Health Editor 573-882-6517 bmh2c2@missouri.edu Missourian Bio Obituaries Jeannine Ingram Clow, Nov. 11, 1930 — May 23, 2026 Benjamin A. Holden, June 3, 1963 — June 10, 2026 Carolyn Edison, Feb. 10, 1937 — June 8, 2026 Patrick O’Blennis, Jan. 28, 1948 — June 10, 2026 Jean Locke, June 5, 1938 — June 5, 2026 Weather Currently in Columbia 67° Sunny73° / 61° 9 PM 65° 10 PM 64° 11 PM 63° 12 AM 64° 1 AM 64° Brittany HilderbrandHigher Education and Health Editor 573-882-6517 bmh2c2@missouri.edu Missourian Bio
Jun 18, 2026 · via columbiamissourian.com
A tribunal upheld the validity of four patents covering facial recognition authentication systems that a suite of Jumio Corp. products are accused of infringing.
Jumio failed to demonstrate FaceTec Inc.'s US Patent Nos. 10,776,471; 11,157,606; 11,693,938; and 11,874,910 are obvious in light of previous patent applications and one issued patent, the Patent Trial and Appeal Board said in decisions unsealed Wednesday.
Administrative Patent Judge Garth D. Baer dissented from all four decisions, saying prior art cited by Jumio renders parts of the patents invalid as obvious.
In 2024, FaceTec sued Jumio in the US District Court for ...
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Jun 18, 2026 · via news.bloomberglaw.com
Russian propagandists have called for criminal prosecutions, arrests, and interrogations of Moscow residents who filmed and shared videos of a recent Ukrainian drone attack on the Russian capital. According to The Moscow Times on Thursday, the demands came after what Russian officials described as the largest Ukrainian drone raid on Moscow since the start of the full-scale war. JOIN US ON TELEGRAM Follow our coverage of the war on the @Kyivpost_official. Armen Gasparyan, a host on the state-affiliated Solovyov Live channel, urged Russian security services to open treason cases against Moscow residents who recorded footage of the attack. Gasparyan said he had seen around 100 videos from Moscow circulating on Ukrainian Telegram channels during the strike and called on authorities to use facial recognition technology to identify those responsible. He described the authors of the videos as “voluntary helpers” of the Ukrainian military and argued they should be arrested and interrogated. State television presenter Vladimir Solovyov echoed the demand. “Everyone who sends such footage should be put in prison,” Solovyov said, according to the report. The comments came after a Ukrainian drone attack struck Moscow’s main oil refinery in Kapotnya, one of the capital’s most strategically important energy facilities, following another attack on the same site on Monday. The refinery, located about 15 kilometers (9 miles) from the Kremlin, supplies a significant share of Moscow’s fuel demand and was reportedly hit for the second time in a week. Russia Strikes Kharkiv With Guided Aerial Bombs The attack triggered multiple fires and renewed debate in Russia about information control and the public sharing of images from military incidents. Responses and previous attacks President Volodymyr Zelensky confirmed that Ukrainian long-range strikes hit Moscow’s main oil refinery, as well as targets in Russia’s Rostov region and occupied Ukrainian territories. Zelensky called it a
Jun 18, 2026 · via kyivpost.com
A MARTÍNEZ, HOST: Federal immigration officers often use facial recognition in the field to identify undocumented immigrants. Now, a newly revealed document from the Department of Homeland Security outlines plans to give local police the same technology. NPR's Meg Anderson is here to explain this. So, Meg, tell us more about the DHS document and the tech it describes. MEG ANDERSON, BYLINE: Yeah. So the existence of this particular document was first reported by the news site 404 Media. And it describes a mobile app designed for local police who are deputized by ICE to enforce immigration law. Police use the app to scan the faces of people they stop. The app then runs those faces against more than 250 million government records. We're talking State Department visa records, the database TSA uses at airports. Once someone's face is scanned, the app tells police whether or not that person can be detained for an immigration violation. MARTÍNEZ: All right. So what do we know about how police will actually use this technology? ANDERSON: Not a lot, but we do know the app launched last September. That suggests that police have already been using it. We don't know for sure. And then there's a question of whether police need to have some reason or suspicion to stop people before they use the app. I spoke to Clare Garvie about that. She's a lawyer with the Policing Project at New York University. CLARE GARVIE: Can they walk around taking photos of whoever as sort of a dragnet way to attempt to identify individuals who might be in the country unlawfully? ANDERSON: And I should note, ICE and Border Patrol already use facial recognition technology. During ICE surges in various cities, it's been common for federal officers to take photos of people, both
Jun 18, 2026 · via wvia.org
Meta keeps working to add facial recognition to its platforms and AI-powered smart glasses — and it keeps facing massive pushback.
A recent story in WIRED confirmed that a phone app for Meta’s Ray-Ban smart glasses included an unreleased feature called NameTag that could biometrically identify anyone in view of the glasses without their consent.
Tech expert Omar Gallaga says Meta has removed the software, which also sparked concern over a connection to a defense contractor.
Highlights from this segment:
– A WIRED investigation found the NameTag feature, which had not yet been deployed by Meta, in the Meta AI app that’s used to configure its smart glasses.
– Journalists also discovered a software license in the app for a tool from Rank One Computing, a company that provides facial recognition software to the military and law enforcement. Meta would not comment on their relationship to Rank One.
– Meta has attempted to include facial recognition and tagging software on its social platforms in the past, which led to pushback rom civil liberties advocates and users.
Jun 18, 2026 · via texasstandard.org
Artificial intelligence (AI) is a branch of computer science that lets machines perform tasks that normally require human intelligence, like learning, reasoning, problem-solving, recognizing patterns and making decisions. Put more simply, AI is software that learns from data and uses what it learns to make predictions, decisions or new content without being explicitly programmed for each task. Today’s AI runs everything from spam filters and recommendation engines to chatbots like ChatGPT and image generators. It draws on a range of techniques, most notably machine learning and generative AI, and it has moved from research labs into products people use every day. Stanford computer scientist Fei-Fei Li, writing in the Stanford Emerging Technology Review, places AI in the same category as the most transformative technologies in modern history: “AI is a foundational technology that is advancing other scientific fields and, like electricity and the internet, has the potential to transform how society operates.” Adoption is now scaling across every sector, from healthcare and financial services to retail and manufacturing, and the pace is accelerating. This page covers how AI works, the main types of AI, real-world examples, the limitations to watch for and a brief history of the field. Think of AI as teaching a computer by example instead of writing step-by-step instructions. Show a system thousands of photos of cats and it learns to recognize cats on its own, not because someone told it that cats have whiskers and pointed ears, but because it has seen enough examples to figure out the pattern. AI is not “thinking” the way you or I do. It is finding patterns in data and using those patterns to make a best guess. That distinction matters: AI can get remarkably good results in narrow domains, but it does not understand anything in the human sense.
Jun 18, 2026 · via databricks.com
Rep. Hiner Votes in Support of Medicaid Program Integrity and Fraud Prevention Act State Representative Mark Hiner (R-Howard) voted in support of a comprehensive legislative package aimed at fighting fraud, waste and abuse within Ohio’s Medicaid program with the goal of protecting taxpayer dollars. The Ohio Medicaid Program Integrity and Fraud Prevention Act works to strengthen oversight and accountability within the system, ensure transparency, target high-risk providers to ensure quality care, boost fraud reporting requirements, implement guardrails around home-health services, and enhance penalties for Medicaid fraud. Senate Bill 315 was amended to include an extensive, targeted list of key reforms that work to prevent fraud, detect fraud and increase penalties for committing fraud within Medicaid. Preventing Fraud - Delivers transparency within the provider enrollment process by requiring the Ohio Department of Medicaid (ODM) to conduct in-person inspections before approving any new providers for home and community-based care. - Triggers an investigation if a provider seeking enrollment utilizes the same address or other similarities as another provider. - Requires ODM to establish criteria for classifying high-risk providers, allowing them to impose a temporary payment suspension and conduct an investigation if there is a suspicious increase in claims. - Requires that an alternative payer analysis be conducted prior to payment of all Medicaid claims. This will ensure that Medicaid is the payor of last resort in these scenarios. - As a condition of entering into or revalidating a Medicaid provider agreement, requires each person or government entity to disclose the identity of each person with at least a 5% direct or indirect ownership interest in the person or entity, which ODM shall verify. - Maintains options for home caregivers to provide personal care services. Detecting Fraud - Enhances the electronic verification of in-home personal care services by requiring ODM to maintain a
Jun 18, 2026 · via ohiohouse.gov
News — Met releases 14 images as 16 May protest investigations continue Detectives investigating alleged offences during protests in central London on Saturday, 16 May have released images of 14 people they want to identify. There were 43 arrests on the day, which saw protests organised by the Palestine Coalition and other groups to mark the anniversary of the Nakba and a protest organised in the name of Stephen Yaxley-Lennon under the ‘Unite the Kingdom’ banner. Five people have been charged so far (details below) and detectives are continuing to investigate a number of further offences including 20 alleged hate crimes. Some of those – for example incidents of chanting – may involve multiple suspects. Officers have already sent a number of files to the Crown Prosecution Service for early investigative advice and they expect to submit further files for consideration in the near future. Chief Superintendent Clair Haynes, who commanded the policing operation on 16 May, said: “We have always said that the policing of protest doesn’t stop when everyone goes home. “There are often many more protesters than there are officers at these events, which combined with the scale of the crowds means it is impossible for every offence to be seen and dealt with in the moment. “Detectives from our Public Order Crime Team painstakingly review footage from events to spot offences and identify those they believe to be involved. “The footage and images are compared against police databases using retrospective facial recognition technology, but where we are unable to find a match we will turn to the public for their help. “I’d urge anyone who recognises someone in the 14 photos released today to come forward, that includes anyone who recognises themselves. Our officers need to speak to you.” Anyone with information is urged to call
Jun 18, 2026 · via news.met.police.uk
U.S. Air Force Col. Dustin Merritt, left, 493rd Fighter Squadron commander, and U.S. Air Force Chief Master Sgt. Paul Fletcher, 493rd Fighter Generation Squadron senior enlisted leader, address Airmen during a superior performers recognition all-call at Pirkkala Air Base, Finland, June 18, 2026. Leadership recognized individuals who distinguished themselves from the pack through proactive airmanship, exceptional leadership and a constant drive to elevate the team during Ramstein Flag 26. (U.S. Air Force photo by Tech. Sgt. Christine Groening)
| Date Taken: | 06.17.2026 |
| Date Posted: | 06.18.2026 12:55 |
| Photo ID: | 9759771 |
| VIRIN: | 260618-F-WZ808-2004 |
| Resolution: | 6048x4024 |
| Size: | 5.95 MB |
| Location: | PIRKKALA (BIRKALA), FI |
| Web Views: | 11 |
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This work, 493 FS, FGS leadership recognize superior performers during RAFL26 [Image 7 of 7], by TSgt Christine Groening, identified by DVIDS, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.
Jun 18, 2026 · via dvidshub.net
Identifying pills accurately is essential for medication safety and proper usage, especially when tablets or capsules are unlabelled or difficult to distinguish -- PillCap AI is an AI-powered tool designed to identify pills instantly using photo recognition. Users simply take a photo of a pill, and the system analyzes visual features such as shape, color, markings, and size to generate a likely match. This helps users quickly understand what a medication may be and reduces the risk of confusion or misidentification. The platform is designed to provide fast, accessible results that support better medication organization and awareness. It can be especially useful for caregivers, patients managing multiple prescriptions, or situations where pill identification is uncertain. PillCap AI focuses on improving safety and confidence in medication handling. By turning a simple photo into actionable identification results, it helps users take more informed steps in managing their health responsibly. Image Credit: PillCap AI What's Driving This Trend - AI Medication Recognition - Photo-based identification systems are expanding medication safety by turning everyday smartphone cameras into accessible tools for recognizing pills and reducing uncertainty. - Caregiver Health Automation - Digital assistants for medication management create new value in home care by supporting caregivers who oversee complex prescription routines for aging or dependent patients. - Visual Pharmacy Intelligence - Computer vision applied to pill attributes such as color, shape, size, and markings introduces scalable ways to improve verification, adherence, and pharmaceutical data access. Who This Affects Most - Digital Health - AI-powered medication tools strengthen patient-facing health platforms by making clinical information easier to access in moments of confusion or risk. - Pharmaceutical Technology - Image recognition for pill identification connects drug databases with real-world usage, opening new possibilities for safer dispensing, packaging, and post-market support. - Elder Care - Medication identification platforms are
Jun 18, 2026 · via trendhunter.com
Clearview AI contract links Army special forces to wider intelligence ecosystem A small U.S. Army special forces purchase of Clearview AI facial recognition licenses has exposed a broader defense intelligence pipeline connecting biometric search, commercial data, AI-enabled entity resolution, former U.S. intelligence personnel, and a company that is building a separate Pentagon platform for operational data fusion. Biometric Update reported in February on the underlying Army special forces Clearview solicitation and renewal. Independent journalist Jack Poulson later reported that Octaris Technologies served as the intermediary for the March purchase, identifying the Virginia Beach, Virginia company as the vendor on the award. Separately, Biometric Update reported in January that USSOCOM was laying the groundwork for a broader expansion of battlefield identity intelligence and exploitation capabilities. The USSOCOM request for information sought industry input on facial recognition, voice identification, tactical site exploitation tools, rapid DNA analysis, and AI and machine-learning analytics, underscoring that the Clearview purchase sits within a larger special operations push toward identity-driven intelligence. Procurement records [here and here] identify Octaris as the vendor on a March award for Clearview AI service for the 1st Special Forces Command (Airborne), the Fort Bragg-based Army special operations headquarters that includes the Army’s various special forces groups. The 1st Special Forces Command is subordinate to the U.S. Army Special Operations Command, the largest component of USSOCOM. The award summary lists a total potential contract value of $339,415. The summary identified $78,750 as the March 16 purchase order amount for five Clearview AI licenses, which appears to correspond to the base-year obligation rather than a separate transaction. The base period runs from March 20, 2026, to March 19, 2027, with three one-year option periods that could extend the subscription through March 19, 2030. A February memorandum for the record describes the requirement as a
Jun 17, 2026 · via biometricupdate.com
MILTON — When naturalist Laurie DiCesare spotted a tiny blue butterfly in St. Albans six years ago, she almost missed it. The insect turned out to be the first documented European common blue butterfly recorded in Vermont, a discovery confirmed through photographs and identification work shared on the citizen-science platform iNaturalist. Now, DiCesare hopes Milton residents will make discoveries of their own. The Milton Conservation Commission is inviting community members to participate in the town's first BioBlitz, a community science event which will challenge participants to document as many species of plants, animals, fungi and insects as possible between July 18 and Aug. 2 using the free iNaturalist app. The project is designed to create a growing database of local biodiversity while encouraging residents to explore Milton's parks, forests and natural areas. "The idea is to document as many species as you can," DiCesare said. "Anything you find within that time period will go toward our database." Participants can submit photographs through iNaturalist, an online platform used by amateur naturalists, researchers and conservation organizations around the world. The app uses image recognition technology to suggest species identifications, while a community of users helps verify observations. The information collected during the BioBlitz will contribute to a broader understanding of what species live in Milton and could help inform future conservation efforts. "You have to know something's rare to protect it," DiCesare said. The event will center around a BioBlitz weekend July 25-26, featuring naturalist-led walks at several of Milton's conservation areas, including the Milton Town Forest, Eagle Mountain Natural Area and the Lamoille Riverwalk. DiCesare said the walks are designed to be accessible and slow-paced, allowing participants of all ages and experience levels to take part. "We've got different wetlands, woodlands and fields, so different habitats is a good thing," she
Jun 17, 2026 · via miltonindependent.com
CardSight AI Brings AI-Powered Identification to Magic: The Gathering, Expanding Its Trading Card Game Lineup CardSight AI Brings AI-Powered Identification to Magic: The Gathering, Expanding Its Trading Card Game Lineup Press Release Date 06-17-2026 CardSight AI adds full Magic: The Gathering identification to its trading card API, giving developers the infrastructure to build new innovative TCG apps PORTLAND, ME, UNITED STATES, June 17, 2026 /EINPresswire.com/ -- CardSight AI, Inc. today announced that Magic: The Gathering card identification is now live in production on its trading card API, bringing the company's industry-leading trading card identification to the longest-running trading card game still in publication. The company's AI identification system recognizes Magic: The Gathering trading cards from a single photo and returns structured catalog data and card images, delivering the unmatched accuracy and performance that app builders and existing platforms depend on. The launch adds Magic: The Gathering to CardSight AI's growing trading card game lineup alongside Pokemon, continuing the company's expansion beyond sports cards. The launch pairs visual identification with full catalog coverage. CardSight AI's Magic: The Gathering catalog spans every set in the game's history: over 250 releases reaching from 1993's Alpha, the set that started the modern hobby, through Secrets of Strixhaven in 2026. Each identified trading card returns with its catalog information and card image through the same API that already powers identification for Baseball, Football, Basketball, Hockey, and Pokemon. "Magic: The Gathering is the longest-running trading card game still in publication, with a large and dedicated player base, and builders have been asking us to support it," said Eric Nusbaum, CEO and co-founder of CardSight AI. "Adding Magic to our growing trading card game support means anyone with an idea for a Magic app can build on infrastructure that already handles identification and catalog data for them.
Jun 17, 2026 · via natlawreview.com
Insights on Canadian Society Workplace artificial intelligence use: A profile of sociodemographic and job characteristics Text begins Overview of the study Using data from the Canadian Survey on Working Conditions, this article provides a profile of workers aged 15 to 69 who used artificial intelligence (AI) and automation technologies at work during the previous year. The article focuses on generative AI which refers to tools trained on large datasets that are used to create new content and to support tasks such as answering questions and problem-solving. Examples of Generative AI tools include ChatGPT and Google Gemini. - Generative AI was the most prevalent AI technology used at work from September 2024 to July 2025. - The proportion of workers who used generative AI nearly doubled over the survey period, increasing from 17% in September 2024 to 30% in July 2025. - Workers in three industries—professional, scientific and technical services; educational services; and finance, insurance, real estate, rental and leasing—made up one-quarter of workers overall (25%) but represented half of generative AI users (49%). - Workers with a bachelor’s degree or higher were five times more likely to have used generative AI in the last 12 months (37%) than those with a high school diploma or a lower level of education (7%). Introduction Artificial intelligence (AI) and automation technologies are increasingly being integrated into Canadian workplaces, changing the way tasks are performed, decisions are made, goods are produced and services are Although a growing body of research has focused on the organizational adoption of AI, comparatively little is known about the prevalence of AI use among workers and the characteristics of those This study uses data from the Canadian Survey on Working Conditions, which were collected from September 2024 to July 2025. It provides a sociodemographic and job characteristic profile of
Jun 17, 2026 · via www150.statcan.gc.ca