New York, Feb. 08, 2023 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report \"Deep Learning Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2017-2027\" - https://www.reportlinker.com/p06316219/?utm_source=GNWThe global deep learning market is expected to grow at an impressive CAGR in the forecast period, 2023-2027.\nDeep learning technology enhances the automation process, drives artificial intelligence applications, and services, and performs analytical and physical tasks without human intervention.\nThe advancements in deep learning technology and the growing use of advanced technologies in automobiles are expected to accelerate the global deep learning market growth for the next five years.\nMarket SegmentationThe global deep learning market is segmented into an offering, application, end-user industry, architecture, company, and regional distribution.Based on the offering, the market is divided into hardware, software, and services.\nReport Scope:In this report, the global deep learning market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:• Deep Learning Market, By Offering:o Hardwareo Softwareo Services• Deep Learning Market, By Application:o Image Recognitiono Signal Recognitiono Data Mining• Deep Learning Market, By End-User Industry:o Healthcareo Retailo Automotiveo Securityo Manufacturingo Others• Deep Learning Market, By Architecture:o RNNo CNNo DBNo DSNo GRU• Deep Learning Market, By Region:o North AmericaUnited StatesCanadaMexicoo Asia-PacificChinaIndiaJapanSouth KoreaAustraliaSingaporeMalaysiao EuropeGermanyUnited KingdomFranceItalySpainPolandDenmarko South AmericaBrazilArgentinaColombiaPeruChileo Middle East & AfricaSaudi ArabiaSouth AfricaUAEIraqTurkeyCompetitive LandscapeCompany Profiles: Detailed analysis of the major companies present in the global deep learning market.
"}}}},{"node":{"postTitle":"Automated machine learning recognition to diagnose flood resilience of railway switches and crossings","slug":"automated-machine-learning-recognition-to-diagnose-flood-resilience-of-railway-switches-and-crossings","publishDate":"None","createdLocal":"2023-02-09 14:31:01.961945","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"In addition, Table 1 includes the class for the classification of the machine learning model.\nFull size imageData preparation and machine learning model developmentThere are 1936 simulations in total.\nThe second one is the regression model when the machine learning model is developed to predict the current stiffness of railway turnout supports.\nThe concept of grid search is the machine learning model will try every combination that is defined by the grid search.\nFull size tableThe novelty of the developed machine learning model is the machine learning model in this study uses raw data or time-series data that previous studies have never done before.
"}}}},{"node":{"postTitle":"6 Things to Know About Computational Intelligence in Robotics Before Learning","slug":"6-things-to-know-about-computational-intelligence-in-robotics-before-learning","publishDate":"2023-02-08 00:00:00","createdLocal":"2023-02-09 14:30:59.742676","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"In this guide, let’s check out the six things you should know about computational intelligence in robotics before learning it!\nPrerequisites to Learning Computational Intelligence in RoboticsBefore learning computational intelligence in robotics, you’ll need to know the following.\nBenefits of Learning Computational Intelligence in RoboticsLearning computational intelligence in robots has many advantages, as stated.\nHow to Study Computational Intelligence In RoboticsYou can begin studying Computational Intelligence with a solid background in mathematics, especially probability, calculus, and linear algebra.\nFinal WordsIn conclusion, computational intelligence is a subset of artificial intelligence that simulates human intelligence using methods and algorithms to tackle challenging issues.
"}}}},{"node":{"postTitle":"Funding to restaurant and retail tech in Asia-Pacific expected to dip","slug":"funding-to-restaurant-and-retail-tech-in-asia-pacific-expected-to-dip","publishDate":"2023-02-08 13:39:31+00:00","createdLocal":"2023-02-09 14:30:57.422558","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"In-store retail and restaurant tech in the APAC region netted $1.1 billion dollars in 2021, a 45% jump from 2020 levels, according to AgFunder’s recent Asia-Pacific AgriFoodTech Investment Report.\nIn-store retail and restaurant tech emerged APAC’s fourth largest investment category, after eGrocery, Midstream Technologies and Restaurant Marketplaces.\nThe deal was the largest in this category globally and contributed nearly half of APAC’s total in-store retail and restaurant tech investments.\nTop countries in restaurant tech fundingTrax’s $640 million round bumped up Singapore’s overall venture capital flows, positioning the country at the top with $708.1 million.\nChina, well known for its advanced restaurant tech industry came in second with $155.6 million while Australia followed with $112.4 million.
"}}}},{"node":{"postTitle":"Move surveillance to a proactive security strategy with video analytics","slug":"move-surveillance-to-a-proactive-security-strategy-with-video-analytics","publishDate":"None","createdLocal":"2023-02-09 14:30:55.943663","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Video analytics deliver new levels of video intelligence to autonomously detect, analyze and report events of interest as they are developing.\nHowever, it’s important for security leaders to keep in mind that all video analytics are not the same.\nNext-generation video analytics is video understandingBehavioral analytics recognize the behavior of diverse objects and their relevant actions and context.\nBehavioral analytics can do this by learning from video clips to create a unique signature for the behavior in the clip.\nThe success of established and future deployments will only serve to further accelerate the deployment of advanced behavioral recognition video analytics, transforming traditional reactive video systems into proactive sources of video data and intelligence.
"}}}},{"node":{"postTitle":"Understanding The Role of AI and Virtual Influencers Today","slug":"understanding-the-role-of-ai-and-virtual-influencers-today","publishDate":"None","createdLocal":"2023-02-09 14:30:54.845378","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"However, as of today, none of these virtual influencers are not actually powered by AI.\nThe virtual influencers of today still rely on a human team to engage with fans in some capacity because entirely AI virtual influencers do not exist … yet.\nLet’s discuss which virtual influencers currently use the term AI in their storylines, and where elements of AI have been used in virtual influencer’s content production pipelines.\nMany virtual influencers, such as Miquela, VNCCII, Ai Angelica and Ai Ailynn, use the word AI as part of their narrative or directly in their name.\nThrough AI, virtual influencers will become more community-based in their interactions.
"}}}},{"node":{"postTitle":"Advanced image SEO: A secret manual","slug":"advanced-image-seo-a-secret-manual","publishDate":"2023-02-06 14:00:00+00:00","createdLocal":"2023-02-09 14:30:54.463406","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"A major dependency for image search algorithms is the association of words with image content.\nThat said, it is known they are using neural network analysis in combination with other algorithmic methods to identify image content.\nImage SEO: Ranking factors and influential elementsOptimizing the image itselfThe first category of image optimization factors is not intuitive – it begins with the creation or formatting of the image itself.\nGoogle image search results, like Google keyword search results, abhors duplicate content to some degree.\nAvoid CSS image deliveryYour page's main content images should not be delivered as a background image for
The 23-acre Cook Children’s medical campus in Prosper is now open.\nAn urgent care center and several primary care physician offices were opened in 2019, followed by a medical office building and an outpatient surgery center in 2020.\nThe Sarah Cannon Cancer Hospital at Medical City Plano was recognized as one of the country’s top oncology hospitals by Becker’s Hospital Review.\nThe Board of Trustees includes:Chair, Becky Tucker , Senior VP of Channel Integration, Texas Health Resources, Senior VP of Channel Integration, Texas Health Resources Chair-Elect, Jessica O’Neal , CEO, Medical City Las Colinas, CEO, Medical City Las Colinas Past Chair, Blake Kretz , President, Texas Health Arlington Memorial Hospital, President, Texas Health Arlington Memorial Hospital Trustee, Dr. Roberto de la Cruz , Exec.\nThe Guardian of Excellence awards were also awarded to the following healthcare facilities in Texas:• Texas Health Presbyterian Hospital Flower Mound, Employee Engagement – Hospital Category• Texas Health Hospital Frisco, Patient Experience – Emergency Department Category• Texas Health Center for Diagnostics & Surgery Plano, Patient Experience – Inpatient Category• Texas Health Harris Methodist Hospital Southwest Fort Worth, Patient Experience – Outpatient Services (Labs & Tests) Category
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