{"componentChunkName":"component---src-templates-image-recognition-news-js","path":"/image-recognition-news/269","result":{"data":{"site":{"siteMetadata":{"title":"No Frills News"}},"allContentfulNfnPost":{"edges":[{"node":{"postTitle":"New Qualcomm Mobile Platform Supports 5G, AI, HDR Applications","slug":"new-qualcomm-mobile-platform-supports-5g-ai-hdr-applications","publishDate":"2021-05-25 20:49:01+00:00","createdLocal":"2021-05-26 14:30:52.844983","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>At a recent event held in San Diego, industry giant Qualcomm Technologies announced its new mobile processor platform for high-end devices, sporting 5G capabilities, enhanced AI features, and new HDR imaging tech.\nThe new chip packs a trio of image sensors capable of capturing three photos or videos simultaneously in wide, ultra-wide, and zoom formats.\nIt also supports HDR image sensors allowing for HDR video, as well as the ability to shoot with 4K HDR10+ video that captures more than a billion shades of color.\nA 6th-generation Qualcomm AI Engine complete with the Qualcomm Hexagon 770 processor means that almost all connections, video calls, and voice calls are AI-enhanced with noise suppression and better camera experiences for the user.\nOn the connectivity front, the integrated Snapdragon X535G Modem-RF System is included that can help deliver millimeter-wave and sub-6 5G capabilities.</p>"}}}},{"node":{"postTitle":"Neuromorphic Computing Market worth $550,593 thousand by 2026 · Wall Street Call","slug":"neuromorphic-computing-market-worth-550593-thousand-by-2026-wall-street-call","publishDate":"2021-05-26 00:10:00-04:00","createdLocal":"2021-05-26 14:30:52.300059","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>However, several factors, such as lack of knowledge about neuromorphic computing and complex algorithms increasing complexity of designing hardware of neuromorphic chips are hindering the growth of neuromorphic computing market.\nImage Recognition to account for largest share of neuromorphic computing market during forecast periodImage Recognition is expected to witness rapid growth in the overall neuromorphic computing market.\nEdge Computing will have highest growth in coming yearsThe edge computing segment is expected to account for a 95% share of the overall neuromorphic computing market by 2026.\nCountries such as China, Japan, and South Korea are expected to be the major contributors to the neuromorphic computing market in APAC.\nKey Market Players:The neuromorphic computing market was dominated by Intel Corp. (US), IBM Corporation (US), BrainChip Holdings Ltd. (US), Qualcomm (US) and HP Enterprise (US).</p>"}}}},{"node":{"postTitle":"Top Key Players – Google, NEC Corporation, Qualcomm Technologies, LTU Technologies, Catchoom Technologies S.L., Honeywell International Inc – KSU","slug":"top-key-players-google-nec-corporation-qualcomm-technologies-ltu-technologies-catchoom-technologies-s-l-honeywell-international-inc-ksu","publishDate":"2021-05-26 00:00:00","createdLocal":"2021-05-26 14:30:51.159199","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>The in-depth study of all the technological advancements in the Image Recognition Industry is a part of the Image Recognition market report.\nThe Image Recognition market report deeply explores influential market leaders around the world.\nThe Image Recognition market research report also offers insightful data on major industrial events in the Image Recognition market over the years.\nGet | Download Sample Copy with TOC, Graphs &#x26; List of Figures @ <a href=\"https://www.verifiedmarketresearch.com/download-sample/?rid=33557The\">https://www.verifiedmarketresearch.com/download-sample/?rid=33557The</a> report covers the following key players in the Image Recognition Market:• Google• NEC Corporation• Qualcomm Technologies• LTU Technologies• Catchoom Technologies S.L.\nVisualize Image Recognition Market using VMI @ <a href=\"https://www.verifiedmarketresearch.com/vmintelligence/Why\">https://www.verifiedmarketresearch.com/vmintelligence/Why</a> the Image Recognition Market Report is beneficial?</p>"}}}},{"node":{"postTitle":"East Lansdowne man arraigned in 2016 murder","slug":"east-lansdowne-man-arraigned-in-2016-murder","publishDate":"None","createdLocal":"2021-05-26 14:30:50.541952","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>You are the owner of this article.</p>"}}}},{"node":{"postTitle":"Top Key Players – Enswers, Audible Magic Corporation, ACRCloud, Digimarc Corporation, Arcsoft, Google – KSU","slug":"top-key-players-enswers-audible-magic-corporation-acrcloud-digimarc-corporation-arcsoft-google-ksu","publishDate":"2021-05-26 00:00:00","createdLocal":"2021-05-26 14:30:49.540017","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>The Automatic Content Recognition (ACR) Market report comprises the comprehensive analysis of all the major aspects related to the market.\nThe in-depth study of all the technological advancements in the Automatic Content Recognition (ACR) Industry is a part of the Automatic Content Recognition (ACR) market report.\nFurther, the detailed analysis of all major growth drivers of the market growth and restraints is covered in the market research report.\nVisualize Automatic Content Recognition (ACR) Market using VMI @ <a href=\"https://www.verifiedmarketresearch.com/vmintelligence/Why\">https://www.verifiedmarketresearch.com/vmintelligence/Why</a> the Automatic Content Recognition (ACR) Market Report is beneficial?\nIt comprises vast amount of information about the latest technology and product developments in the Automatic Content Recognition (ACR) industry.</p>"}}}},{"node":{"postTitle":"Deep Learning in Machine Vision Market to Witness High Demand During 2020-2027 – The Courier","slug":"deep-learning-in-machine-vision-market-to-witness-high-demand-during-2020-2027-the-courier","publishDate":"None","createdLocal":"2021-05-26 14:30:48.701136","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>The deep learning in machine vision market is expected to witness market growth at a rate of 33.92% in the forecast period of 2021 to 2028.\nDeep Learning in Machine Vision Market Scope and Segmentation:The deep learning in machine vision market is segmented on the basis of component, application and end user.\nBased on the end user, the deep learning in machine vision market is segmented into security, manufacturing, BFSI, healthcare, agricultureDeep Learning in Machine Vision Market Country Level AnalysisNorth America (United States, Canada &#x26; Mexico)Asia-Pacific (Japan, China, India, Southeast Asian Countries &#x26; Australia etc.)\nLeading Key Players Operating in the Deep Learning in Machine Vision Market Includes:The major players covered in the deep learning in machine vision market report are FLIR Systems, Inc.; ISRA VISION AG; Intel Corporation; Texas Instruments Incorporated.\nData Bridge Market Research set forth itself as an unconventional and neoteric Market research and consulting firm with an unparalleled level of resilience and integrated approaches.</p>"}}}},{"node":{"postTitle":"BamBam talks about showing ‘real image’, getting more recognition in Korea & more with Allure magazine","slug":"bambam-talks-about-showing-real-image-getting-more-recognition-in-korea-more-with-allure-magazine","publishDate":"None","createdLocal":"2021-05-26 14:30:48.001136","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>GOT7’s rapper BamBam recently covered a pictorial shoot with Allure magazine.\nFans are of course getting pretty excited as it’s his first release after leaving JYP Entertainment and first-ever solo mini-album!\nBefore the album’s release, we have his interview with Allure Magazine where he shared many things with us!\nNow that I think about it, I think I am more used to Korea than Thailand.\nHe also said that that will be ‘The real BamBam image.’Check out his pictorial images below:How excited are you for BamBam’s comeback ‘riBBon’?</p>"}}}},{"node":{"postTitle":"Image Recognition Consumption Market Outlook 2021, Analysis and Forecast to 2028 by Manufacturers","slug":"image-recognition-consumption-market-outlook-2021-analysis-and-forecast-to-2028-by-manufacturers","publishDate":"2021-05-26 00:00:00","createdLocal":"2021-05-26 14:30:47.358191","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>The Image Recognition Consumption market offers an exhaustive analysis of the market size, participation, degree of development, and Outlook of the Image Recognition Consumption business.\nThe implementation of the action research, the Image Recognition Consumption markets, both in terms of volume and income and this is a factor that is valuable and effective for your business.\nImage Recognition Consumption Market Leading Key players:Qualcomm NEC Google LTU Technologies Catchoom Technologies Honeywell Hitachi Slyce Wikitude AttrasoftMarket segmentation of Image Recognition Consumption market:Image Recognition Consumption market is divided by type and application.\nImage Recognition Consumption Market breakdown by type:Code Recognition Digital Image Processing Facial Recognition Object Recognition Pattern Recognition Optical Character RecognitionImage Recognition Consumption Market breakdown by application:BFSI Media &#x26; Entertainment Retail &#x26; Consumer Goods IT &#x26; Telecom Government Healthcare Transportation &#x26; Logistics OthersGet Discount On The Purchase Of This Report @ <a href=\"https://www.marketresearchintellect.com/ask-for-discount/?rid=365635Image\">https://www.marketresearchintellect.com/ask-for-discount/?rid=365635Image</a> Recognition Consumption Market Report ScopeReport Attribute Details Market size available for years 2021 – 2028 Base year considered 2021 Historical data 2015 – 2019 Forecast Period 2021 – 2028 Quantitative units Revenue in USD million and CAGR from 2021 to 2027 Segments Covered Types, Applications, End-Users, and more.\nExplore purchase optionsRegional market analysis Image Recognition Consumption can be represented as follows:For clarity, analysts also segmented the market based on geography.</p>"}}}}]}},"pageContext":{"limit":8,"skip":2144,"irNumPages":301,"currentPage":269}}}