{"componentChunkName":"component---src-templates-image-recognition-news-js","path":"/image-recognition-news/229","result":{"data":{"site":{"siteMetadata":{"title":"No Frills News"}},"allContentfulNfnPost":{"edges":[{"node":{"postTitle":"DSM rolls out the red carpet for new AI-powered color prediction tool","slug":"dsm-rolls-out-the-red-carpet-for-new-ai-powered-color-prediction-tool","publishDate":"None","createdLocal":"2023-02-02 14:30:55.570989","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>The appetite for plant-based frozen desserts continues to grow, and this growth has seen an increase in the range of natural sources they can be derived from.\nThe market... Read More</p>"}}}},{"node":{"postTitle":"Global Deep Learning Market to Reach $320.6 Billion by","slug":"global-deep-learning-market-to-reach-320-6-billion-by","publishDate":"2023-02-01 00:00:00","createdLocal":"2023-02-02 14:30:54.610728","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>New York, Feb. 01, 2023 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report \"Global Deep Learning Industry\" - <a href=\"https://www.reportlinker.com/p05798338/?utm_source=GNWFood\">https://www.reportlinker.com/p05798338/?utm_source=GNWFood</a> and fuel inflation will remain a persistent economic problem.\nGlobal Deep Learning Market to Reach $320.6 Billion by 2030In the changed post COVID-19 business landscape, the global market for Deep Learning estimated at US$33.8 Billion in the year 2022, is projected to reach a revised size of US$320.6 Billion by 2030, growing at a CAGR of 32.5% over the analysis period 2022-2030.\nThe U.S. Market is Estimated at $9.9 Billion, While China is Forecast to Grow at 31.1% CAGRThe Deep Learning market in the U.S. is estimated at US$9.9 Billion in the year 2022.\nMARKET OVERVIEWInfluencer Market InsightsWorld Market TrajectoriesIntroductionDeep Learning TimelineDeep Learning as a Subset of Machine LearningDeep Learning Software Market: Percentage Share Distribution byApplication Industry: 2018OutlookMachine Learning Emerges as the Top Data Initiative forOrganizationsDeep Learning - Global Key Competitors Percentage Market Sharein 2022 (E)Competitive Market Presence - Strong/Active/Niche/Trivial forPlayers Worldwide in 2022 (E)Impact of Covid-19 and a Looming Global Recession2.\nMARKET TRENDS &#x26; DRIVERSSummarized TrendsRecent Advancements in Deep LearningIncreasing Competitor Focus on Production of AI-Specific ChipsIntensifies Deep Learning CapabilitiesGlobal Deep Learning Chipset Market in US$ Billion by Type:2017-2025Rise of Deep Learning in Drug DiscoveryHealthcare Emerges as an Important Growth AvenueDeep Learning Finds Relevance in Medical ImagingGlobal Medical Imaging Analysis Software by Type (in US$Million): 2017-2025Deep Learning Companies Attract InvestmentsGrowing Importance of Image Recognition in Various sectorsDrives Application of Deep LearningEducation: A Growing Application MarketSecurity Industry to Find Increasing Use of Deep Learning inVideo SurveillanceApplication of Deep Learning in Data AnalyticsRise in Use of Deep Learning in Manufacturing SectorDeep Learning on the Cloud Gains MomentumApplication Deep Learning in Banking SectorDeep Learning Application in Supply ChainsDeep Learning to Pick up Momentum in the Automotive IndustryGlobal Venture Capital Investments in Autonomous Vehicles:2014-2018Global Autonomous Vehicle Sales (in US$ Million): 2021-2040Global Automotive AI Market Estimates and Forecasts by Type::(in US$ Million): 2018-2025Application of AI and Deep Learning Systems in Units in GlobalAutomotive Market: 2018-2025Retail Industry to Benefit from Deep LearningDeep Learning to Transform E-CommerceGlobal e-Commerce Sales in US$ billion (2015-2021)Global e-Commerce as % Percentage of Total Retail Sales (2015-2020)4.</p>"}}}},{"node":{"postTitle":"Local Teacher Receives National Recognition","slug":"local-teacher-receives-national-recognition","publishDate":"2023-02-01 00:00:00","createdLocal":"2023-02-02 14:30:53.655536","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>Daily QuestionMost recent question:Which Five(5) Homes Did You Like.\nUse catalog number only.\nYou must pick 5.</p>"}}}},{"node":{"postTitle":"7 Best OCR Tools for Converting Images into Text form","slug":"7-best-ocr-tools-for-converting-images-into-text-form","publishDate":"2023-02-02 06:09:46+00:00","createdLocal":"2023-02-02 14:30:49.368473","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>It can convert images into text and convert PDF files into text.\nReadiris Pro 15 for Mac has the following features:You can use it to convert images into text or PDF files into text.\nUseful to outsource the conversion of jpg files to text filesImage files can be converted into text files by using OCR tools.\nThese tools are useful for converting images into text files, and the process is automated.\nIt is also possible to convert PDF documents by using these tools, as well as HTML documents that contain images.</p>"}}}},{"node":{"postTitle":"WiMi Develops The 3D Object Recognition Algorithm System Based On Deep Learning","slug":"wimi-develops-the-3d-object-recognition-algorithm-system-based-on-deep-learning","publishDate":"2023-02-02 08:12:50+01:00","createdLocal":"2023-02-02 14:30:48.687682","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>Object recognition involves many subjects, such as pattern recognition, computer science, image processing, and machine vision.\nThree-dimensional object recognition is one of the key technologies to realize machine perception and understanding of a three-dimensional environment.\nFor 3D target recognition tasks, It is essential to design a fast recognition algorithm with a high recognition rate.\nWiMi Hologram Cloud, Inc. (NASDAQ: WIMI) has developed a 3D object recognition algorithm system based on deep learning.\nWiMi will also continue to expand the application field of three-dimensional object recognition algorithms based on deep learning.</p>"}}}},{"node":{"postTitle":"Australia to replace Queen Elizabeth's image from banknotes","slug":"australia-to-replace-queen-elizabeth-s-image-from-banknotes","publishDate":"None","createdLocal":"2023-02-02 14:30:47.888341","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>Fast NewsNew Indigenous design will replace previous portrait of late Queen Elizabeth II to honour \"culture and history of First Australians,\" says Australia's Reserve Bank.\nMove is hailed by nation's republican movement, which noted Indigenous people predated British settlement by 65,000 years.\n(Reuters Archive)Australia's central bank has announced it will erase the British monarch from its banknotes, replacing the late Queen Elizabeth II's image on its $5 note with a design honouring Indigenous culture.\nThe $5 bill is Australia's only bank note to feature the monarch.\nThe bank plans to consult with Indigenous groups in designing the $5 note and expects years before it goes public.</p>"}}}},{"node":{"postTitle":"Researchers explore use of machine learning to predict bulk metallic glass formation","slug":"researchers-explore-use-of-machine-learning-to-predict-bulk-metallic-glass-formation","publishDate":"2023-02-02 00:00:00","createdLocal":"2023-02-02 14:30:46.970165","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>Researchers from the Yale School of Engineering and Applied Science are analyzing the effectiveness of a machine learning tool in predicting bulk metallic glass formability.\nA Yale-led study has taken this hurdle on, exploring the use of a machine learning model for the prediction of bulk metallic glass formation.\n“This work begins to address that question so that new machine learning methods can be developed for bulk metallic glass design” O’Hern said.\n“It reveals a very powerful idea: complex material science problems like bulk metallic glass formation require physical insights to develop effective and predictable machine learning models,” Liu said.\nSince a large amount of work has focused on comparing different machine learning tools in the past, the team’s approach permitted them to compare a machine learning approach with traditional computer-aided human learning, providing a valuable insight into the applications of machine learning in material design.</p>"}}}},{"node":{"postTitle":"Finland passes landmark gender recognition law based on self-declaration","slug":"finland-passes-landmark-gender-recognition-law-based-on-self-declaration","publishDate":"2023-02-01 15:33:20+00:00","createdLocal":"2023-02-02 14:30:46.549516","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"<p>Finland has just passed a new gender recognition law based on self-declaration, which will make it easier for trans people to have their preferred gender recognised in official documents.\nToday, February 1, the parliament in Finland introduced new gender recognition legislation with a vote of 113 to 69.\nGender recognition will now be available for adults who apply after a mandatory 30-day ‘period of reflection’.\nAfter 10 years of campaigning, a new law in Finland at last approves self-determination in legal gender recognition.\nIreland has a similar situation, as the gender recognition system introduced in 2015 only allows people over 18 years of age to change their legal gender.</p>"}}}}]}},"pageContext":{"limit":8,"skip":1824,"irNumPages":301,"currentPage":229}}}