{"componentChunkName":"component---src-templates-image-recognition-news-js","path":"/image-recognition-news/250","result":{"data":{"site":{"siteMetadata":{"title":"No Frills News"}},"allContentfulNfnPost":{"edges":[{"node":{"postTitle":"Jumio Warns About Escalating Cost of AML Non-Compliance in Financial Industry","slug":"jumio-warns-about-escalating-cost-of-aml-non-compliance-in-financial-industry","publishDate":"2021-06-02 19:17:26+00:00","createdLocal":"2021-06-03 14:31:15.911356","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>Jumio is once again emphasizing the importance of a good Anti-Money Laundering (AML) compliance program for banks and other organizations in the financial industry.\nThe company noted that many organizations have historically cut corners with their AML programs, either because they disagreed with AML regulations at an ideological level, or because they did not think expensive AML programs were worth the significant cost.\nAdministrators issued $4.27 billion worth of penalties for AML violations in 2018, and that number jumped to $8.14 billion and then $10 billion in the next two years.\nFor its part, Jumio pointed out that its portfolio of identity solutions can help financial institutions meet all of those regulatory obligations.\nThe company strengthened its position in the AML market with its acquisition of Beam Solutions in September of 2020.</p>"}}}},{"node":{"postTitle":"Everything in its place: From stolen art to endangered monkeys","slug":"everything-in-its-place-from-stolen-art-to-endangered-monkeys","publishDate":"2021-06-02 15:55:00-05:00","createdLocal":"2021-06-03 14:31:15.337608","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>A new app powered by a photographic database is used to identify looted antiquities, and Germany is creating a path to return art to Africa.\nMeanwhile, the black lion tamarin was removed from the critically endangered list, with a current population of about 1,800 in the wild.\nDANIEL BOCKWOLDT/DPA/AP/FILE Three Benin Bronzes, stolen from Africa during a British colonial expedition, are displayed at a Hamburg museum in 2018.\nAfter downloading the app, users can photograph an art piece, upload an existing image, or use descriptive terms to search Interpol’s database of lost and stolen art, which includes more than 52,000 items.\nIf the art in question appears to match a registered piece in Interpol’s database, the app prompts users to report it.</p>"}}}},{"node":{"postTitle":"Exclusive Insights on Image Recognition Market 2021-2026 by Leading Players like NEC Corporation (Japan), Qualcomm (US), Catchoom (Spain), Google Inc. (US), SAC Sirius Advanced Cybernetics GmbH (Germa","slug":"exclusive-insights-on-image-recognition-market-2021-2026-by-leading-players-like-nec-corporation-japan-qualcomm-us-catchoom-spain-google-inc-us-sac-sirius-advanced-cybernetics-gmbh-germa","publishDate":"2021-06-03 02:18:24+00:00","createdLocal":"2021-06-03 14:31:14.550431","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>Exclusive report on Image Recognition Market Size provides insightful data on the developments in the industry with all market dynamics.\nThe detailed study of all the crucial aspects of the Image Recognition market is included in the market report such as market share, production, regions, key players (likes NEC Corporation (Japan), Qualcomm (US), Catchoom (Spain), Google Inc. (US), SAC Sirius Advanced Cybernetics GmbH (Germany), Hitachi (Japan), and more), etc.\nRequest for sample copy of the report including ToC, Tables, and Figures with detailed information at <a href=\"https://www.alltheresearch.com/sample-request/268Image\">https://www.alltheresearch.com/sample-request/268Image</a> Recognition Market Report Sample includes:1.\nThe Image Recognition Market report also assesses the economic effect on firms and monetary markets.\nGlobal Image Recognition Market Analysis and Forecast, by Applications6.</p>"}}}},{"node":{"postTitle":"Telpo launches multi-functional biometric time and access control device","slug":"telpo-launches-multi-functional-biometric-time-and-access-control-device","publishDate":"2021-06-02 12:50:43+00:00","createdLocal":"2021-06-03 14:31:13.751203","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>Devices used for time and attendance tracking and access control reflect the company’s image, Telpo says in its announcement of its biometric B10 Time Attendance Machine.\nThe B10 is therefore designed for convenient operation, providing employees and visitors with a new access control experience through multi-functional identification methods, according to the announcement.\nTelpo’s B10 runs on a dual-core Cortex-A7 1.5GHz processor, 1.5 tops NPU, RV1109 chip and Linux OS for fast operational efficiency and broad compatibility.\nTelpo is also focussing on biometric access control as a key market for its F10 terminal with a 10-inch screen, which was launched as part of a series of new products in late-2020 to address demand.\nArticle Topicsaccess control | biometric liveness detection | biometrics | facial recognition | Telpo | time and attendance | workforce management</p>"}}}},{"node":{"postTitle":"China's gigantic multi-modal AI is no one-trick pony","slug":"china-s-gigantic-multi-modal-ai-is-no-one-trick-pony","publishDate":"None","createdLocal":"2021-06-03 14:31:08.770473","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>When Open AI's GPT-3 model made its debut in May of 2020, its performance was widely considered to be the literal state of the art.\nCapable of generating text indiscernible from human-crafted prose, GPT-3 set a new standard in deep learning.\nResearchers from the Beijing Academy of Artificial Intelligence announced on Tuesday the release of their own generative deep learning model, Wu Dao, a mammoth AI seemingly capable of doing everything GPT-3 can do, and more.\nFirst off, Wu Dao is flat out enormous.\nUnlike most deep learning models which perform a single task — write copy, generate deep fakes, recognize faces, win at Go — Wu Dao is multi-modal, similar in theory to Facebook's anti-hatespeech AI or Google's recently released MUM.</p>"}}}},{"node":{"postTitle":"","slug":"","publishDate":"None","createdLocal":"2021-06-03 14:31:07.210370","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":""}}}},{"node":{"postTitle":"Webinar: Blockchain in gold mining","slug":"webinar-blockchain-in-gold-mining","publishDate":"2021-06-02 21:47:57+00:00","createdLocal":"2021-06-03 14:31:06.533825","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>To date, multiple miners, refiners, logistics provider and vault operators have tracked gold’s provenance and chain of custody on the blockchain with the Responsible Gold Supply Chain Application.\nThe technology is overlaid with best-in-class ESG standards which provide a framework for the supply chain and its participants, so that its output can be affirmatively declared “Responsible Gold”.\nTo ensure the integrity of the bars in the Responsible Gold ecosystem, RGSC is creating GoldID an artificial intelligence-powered image recognition technology to create and validate unique identities for gold bars in order to prevent fraudulent bars entering the ecosystem.\nTogether, Responsible Gold and the G-Coin token provide an ESG uplift to the gold sector and bring gold into the digital age.\nThe webinar takes place online 2pm London time, June 24.</p>"}}}},{"node":{"postTitle":"3 companies using AI to combat the UN Sustainable Development Goals","slug":"3-companies-using-ai-to-combat-the-un-sustainable-development-goals","publishDate":"None","createdLocal":"2021-06-03 14:31:05.294205","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>And, while many initiatives are still in the concept phase, analysts such as the Berkeley, California-headquartered not-for-profit AI for Good Foundation suggest that AI is already having a positive impact across all 17 of the UN Sustainable Development Goals.\nAI is already having a positive impact across all 17 of the UN Sustainable Development Goals.\nWhich is where initiatives such as Google’s AI Impact Challenge or enterprise AI platform DataRobot’s AI for Good program find their place to foster partnerships that turn ideas into impactful solutions that become user-friendly and self-supporting in the long run.\nOne of the 20 grantees of the Google AI Impact Challenge, the project has involved the placement of low-cost air sensors on motorcycle taxis, among other locations.\nSkillLab, the NetherlandsAnother of the Google AI Impact Challenge recipients, the brains behind SkillLab have one mission: “No person should be excluded from opportunity simply because their skills are invisible”.</p>"}}}}]}},"pageContext":{"limit":8,"skip":1992,"irNumPages":301,"currentPage":250}}}