MIR is pleased to unveil our newest report, titled ‘Image Recognition Market’; This extensive report provides significant insights into the present industry trends and future prospects with a global perspective.\nOn The Basis of Types: –Code RecognitionDigital Image ProcessingFacial RecognitionObject RecognitionPattern RecognitionOptical Character RecognitionOn The Basis of Application: –BFSIMedia & EntertainmentRetail & Consumer GoodsIT & TelecomGovernmentHealthcareTransportation & LogisticsOthersThe impact of the Image Recognition Market report:– Comprehensive assessment of all opportunities and risk in the Image Recognition Market.\n– Image Recognition Market recent innovations and major events.\n– Favourable impression inside vital technological and Market latest trends striking the Image Recognition Market.\n─Evaluate the supply-demand gaps, import-export statistics and regulatory landscape for more than top 20 countries globally for the Image Recognition.
"}}}},{"node":{"postTitle":"Starship Technologies (United States),Savioke (United States),Nuro (United States) – Wexford Echo","slug":"starship-technologies-united-states-savioke-united-states-nuro-united-states-wexford-echo","publishDate":"2023-07-04 00:00:00","createdLocal":"2023-07-05 14:30:48.673927","feedName":"Autonomous Trucks","postSummary":{"childMarkdownRemark":{"html":"This Autonomous Last Mile Delivery report strategically examines the micro-markets and sheds light on the impact of technology upgrades on the performance of the Autonomous Last Mile Delivery market.\nThe Autonomous Last Mile Delivery report also predicts the influence of different industry aspects on the Autonomous Last Mile Delivery market segments and regions.\nThe Autonomous Last Mile Delivery research also segments the Autonomous Last Mile Delivery market on the basis of end user, product type, application, and demography for the forecast period 2022–2030.\nThis Autonomous Last Mile Delivery report strategically examines the micro-markets and sheds light on the impact of technology upgrades on the performance of the Autonomous Last Mile Delivery market.\nAutonomous Last Mile Delivery Market Segmented by Region/Country: North America, Europe, Asia Pacific, Middle East & Africa, and Central & South AmericaMajor highlights of the Autonomous Last Mile Delivery report:All-inclusive evaluation of the Autonomous Last Mile Delivery marketEvolution of significant Autonomous Last Mile Delivery market aspectsIndustry-wide investigation of Autonomous Last Mile Delivery market segmentsAssessment of Autonomous Last Mile Delivery market value and volume in past, present, and forecast yearsEvaluation of Autonomous Last Mile Delivery market shareStudy of niche Autonomous Last Mile Delivery industrial sectorsTactical approaches of Autonomous Last Mile Delivery market leadersLucrative strategies to help companies strengthen their position in the Autonomous Last Mile Delivery marketInterested in purchasing Autonomous Last Mile Delivery full Report?
"}}}},{"node":{"postTitle":"Unleashing the Power of Artificial Intelligence in Healthcare","slug":"unleashing-the-power-of-artificial-intelligence-in-healthcare","publishDate":"2023-07-05 17:02:29+05:30","createdLocal":"2023-07-05 14:30:48.454929","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Artificial intelligence (AI) and its associated technologies are increasingly being utilized in healthcare, offering the potential to transform patient care and administrative processes.\nDespite its potential, there are barriers that need to be addressed for rapid implementation, and this article titled “Unleashing the Power of Artificial Intelligence in Healthcare” explores both the advantages and challenges of integrating AI into healthcare systems.\nIn the context of healthcare, there are several specific AI technologies that are particularly crucial and deserving of attention.\nThe following section provides definitions and descriptions of these noteworthy AI technologies in healthcare.\nMachine Learning – Focus on Neural Networks and Deep LearningMachine learning is widely used in making predictions by training models with data.
"}}}},{"node":{"postTitle":"Artificial Intelligence for Automotive and Transportation Market Evolving Technology, Trends And Industry Analysis & Forecast To 2029 Continental, Magna, Bosch, Valeo, ZF – Wexford Echo","slug":"artificial-intelligence-for-automotive-and-transportation-market-evolving-technology-trends-and-industry-analysis-forecast-to-2029-continental-magna-bosch-valeo-zf-wexford-echo","publishDate":"2023-07-04 00:00:00","createdLocal":"2023-07-05 14:30:47.296080","feedName":"Autonomous Trucks","postSummary":{"childMarkdownRemark":{"html":"Artificial Intelligence for Automotive and Transportation Market Evolving Technology, Trends And Industry Analysis & Forecast To 2029 Continental, Magna, Bosch, Valeo, ZFArtificial Intelligence for Automotive and Transportation market research report provides the industry overview with market growth analysis with a historical & futuristic perspective for the following parameters; cost, revenue, demands, and supply data (as applicable).\nWhy the Artificial Intelligence for Automotive and Transportation Market Report is beneficial?\n✤ The report offers a complete picture of the competitive scenario of the Artificial Intelligence for Automotive and Transportation market.\n✤ The Artificial Intelligence for Automotive and Transportation report has combined the required essential historical data and analysis in the comprehensive research report.\n➼ Diversification of the Market: Exhaustive information about new products, untapped geographies, recent developments, and investments in the Artificial Intelligence for Automotive and Transportation market.
"}}}},{"node":{"postTitle":"Facial recognition for Birmingham e-scooters after boy's death","slug":"facial-recognition-for-birmingham-e-scooters-after-boy-s-death","publishDate":"None","createdLocal":"2023-07-05 14:30:46.912169","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Facial recognition technology is to be introduced in a bid to stop underage users renting e-scooters in Birmingham.\nLegally, users have to be 18 and have at least a provisional driving licence.\nAn inquest following the death of 12-year-old Mustafa Nadeem in December heard he had been riding an e-scooter unlocked by a friend using an under-16s bank account.\nA contract with supplier Voi ended in February and new operator Beryl is expected to roll out its scheme \"soon\".
"}}}},{"node":{"postTitle":"New poll reveals most Brits think autonomous HGVs are a bad idea","slug":"new-poll-reveals-most-brits-think-autonomous-hgvs-are-a-bad-idea","publishDate":"2023-07-04 00:00:00","createdLocal":"2023-07-05 14:30:46.114353","feedName":"Autonomous Trucks","postSummary":{"childMarkdownRemark":{"html":"Self-driving HGVs may well have the potential to revolutionise freight haulage and make the roads safer but more than half of the public oppose the technology, according to a survey of 2,000 Brits.\nThe study found 55% of UK adults hate the idea of autonomous freight vehicles and only a sixth (16%) support the idea.
"}}}},{"node":{"postTitle":"Syntiant Core 2 Achieves Outstanding Results in Latest MLPerf Tiny v1.1 Benchmark Suite","slug":"syntiant-core-2-achieves-outstanding-results-in-latest-mlperf-tiny-v1-1-benchmark-suite","publishDate":"None","createdLocal":"2023-07-05 14:30:46.076131","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"“Just as in earlier versions of the benchmark for keyword spotting, the Syntiant Core 2 again achieved energy consumption orders of magnitude lower than other devices for the vision oriented tasks.\nThe architecture outperformed the nearest submitter in energy performance 20X and 25X, respectively.\nIt also achieves 16 ms latency and 101.8 uJ at 30.7MHz, more than 35X the nearest submission.\nAbout the Syntiant Core 2The Syntiant Core 2 is a highly flexible, ultra-low-power deep neural network inference engine with a highly configurable front-end interface embedded in the company’s second-generation Neural Decision Processors, such as the NDP200, NDP120 and NDP115.\nThe MLPerf benchmarks are full system tests that stress machine learning models, software and hardware and optionally measure power usage.
"}}}},{"node":{"postTitle":"Data Privacy Rules Hinder Hotel Industry's Quest for Frictionless Experience","slug":"data-privacy-rules-hinder-hotel-industry-s-quest-for-frictionless-experience","publishDate":"None","createdLocal":"2023-07-05 14:30:45.494132","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"TORONTO — A common goal of the hotel industry's implementation of technology is a \"frictionless\" experience for guests, but several hurdles remain in the way of making that reality, according to experts.\n\"Before we even look at the technology, we need to look at the legislation and the laws,\" he said.\nSeveral panelists noted the challenges that varied data privacy regulations around the globe present to hoteliers and deploying new technologies.\n\"We're getting there, but the challenge right now is data privacy laws are getting more and more stringent,\" he said.\nHe said a lot of systems are focused on customizing a digital experience for consumers, but luxury hotels need to use that data to customize the in-person experience, as well.
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