New York, Feb. 01, 2023 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report \"Global Deep Learning Industry\" - https://www.reportlinker.com/p05798338/?utm_source=GNWFood 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$9.9 Billion in the year 2022.\nMARKET OVERVIEWInfluencer Market InsightsWorld Market TrajectoriesIntroductionDeep Learning TimelineDeep Learning as a Subset of Machine LearningDeep Learning Software Market: Percentage Share Distribution byApplication Industry: 2018OutlookMachine Learning Emerges as the Top Data Initiative forOrganizationsDeep Learning - Global Key Competitors Percentage Market Sharein 2022 (E)Competitive Market Presence - Strong/Active/Niche/Trivial forPlayers Worldwide in 2022 (E)Impact of Covid-19 and a Looming Global Recession2.\nMARKET TRENDS & DRIVERSSummarized TrendsRecent Advancements in Deep LearningIncreasing Competitor Focus on Production of AI-Specific ChipsIntensifies Deep Learning CapabilitiesGlobal Deep Learning Chipset Market in US$ 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.
"}}}},{"node":{"postTitle":"Patent Pending: Choosing when to deploy AVs, using drones in intermodal transit","slug":"patent-pending-choosing-when-to-deploy-avs-using-drones-in-intermodal-transit","publishDate":"2023-02-01 14:00:00","createdLocal":"2023-02-02 14:30:54.027461","feedName":"Autonomous Vehicle News","postSummary":{"childMarkdownRemark":{"html":"But while many focus on the hardware and navigation aspects of this emerging innovation, not enough are looking into other aspects of maximizing a delivery route's efficiency using AVs, according to a UPS patent application.\nThen, it determines deliveries that the drone could reach in the same or a shorter amount of time that a manual vehicle could.\n“...Alternatively, various manual delivery serviceable points may be pre-selected as autonomous vehicle launch locations.\"\nRead up:Drones get an intermodal ride, repairsAmazonVehicles beyond vans and box trucks can be used in tandem with delivery drones if a patent application from Amazon becomes reality.\nThe filing, published Dec. 22, envisions drones launching from in-transit \"intermodal carriers\" on trains, containerships, trucks or other vehicles.
"}}}},{"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":"Daily QuestionMost recent question:Which Five(5) Homes Did You Like.\nUse catalog number only.\nYou must pick 5.
"}}}},{"node":{"postTitle":"The Worldwide Automotive Artificial Intelligence Industry is Predicted to Reach $34.3 Billion by 2030 - Rising Demand for Enhanced User Experience and Convenience Features Drives Growth","slug":"the-worldwide-automotive-artificial-intelligence-industry-is-predicted-to-reach-34-3-billion-by-2030-rising-demand-for-enhanced-user-experience-and-convenience-features-drives-growth","publishDate":"None","createdLocal":"2023-02-02 14:30:53.188008","feedName":"Autonomous Vehicle News","postSummary":{"childMarkdownRemark":{"html":"Company LogoDublin, Feb. 01, 2023 (GLOBE NEWSWIRE) -- The \"Automotive Artificial Intelligence Market by Component, Technology, and Application: Global Opportunity Analysis and Industry Forecast, 2020-2030\" report has been added to ResearchAndMarkets.com's offering.\nThe gaining popularity of autonomous vehicle globally, due to its safety and comfort features, along with a shift towards alternative fuel has propelled the growth of automotive artificial intelligence market.\nAlso, artificial intelligence reduces the need of a driver in an autonomous vehicle, which eliminates driver wages and drastically minimizes the operational cost.\nThese advantages, along with investments made by major market players are expected to further accelerate the automotive artificial intelligence market.\nThe market share of the players in the global automobile artificial intelligence market along with their competitive analysis.
"}}}},{"node":{"postTitle":"Otonomo helps Microsoft map things out","slug":"otonomo-helps-microsoft-map-things-out","publishDate":"None","createdLocal":"2023-02-02 14:30:53.129430","feedName":"Connected Car","postSummary":{"childMarkdownRemark":{"html":"Microsoft Maps will use Otonomo Technologies' streaming connected vehicle data to enhance mapping services for users across Microsoft Azure, Windows, Microsoft 365 and Bing.\nInformation will include current traffic conditions, accident notification and route optimisation.\nMicrosoft says this will support its own-brand and third-party licenced mapping products and services, such as new road geometry or turn restrictions.\n“Microsoft’s robust mapping services offer a wealth of detailed location and traffic data to its users across the company’s ecosystem of services, platforms and applications,” said Ben Volkow, CEO and co-founder at Otonomo.\n“We’re pleased that Microsoft recognised the benefit of the breadth, depth and quality of the connected vehicle data that runs through Otonomo.”Otonomo's data \"will provide a meaningful and high-impact addition to our current processing chains and data sets\", said Russell Dicker, CVP Maps and Local at Microsoft.
"}}}},{"node":{"postTitle":"","slug":"","publishDate":"None","createdLocal":"2023-02-02 14:30:52.464478","feedName":"Connected Car","postSummary":{"childMarkdownRemark":{"html":""}}}},{"node":{"postTitle":"Five states pursue rule changes to accommodate truck platooning","slug":"five-states-pursue-rule-changes-to-accommodate-truck-platooning","publishDate":"2023-02-01 19:32:01+00:00","createdLocal":"2023-02-02 14:30:51.226590","feedName":"Autonomous Vehicle News","postSummary":{"childMarkdownRemark":{"html":"Measures in statehouses around the country would revise rules on the use of autonomous large vehicles, and other changes to accommodate driver-assistive truck platooning technology.\nAdvocates say truck platooning saves fuel, reduces traffic congestion and improves highway safety.\nKentuckyOne Kentucky House bill would amend the state’s requirement for truck platooning.\nThe state authorizes truck platooning.\nMississippiBills in the Mississippi House and Senate would revise truck platooning rules.
"}}}},{"node":{"postTitle":"Self-Driving Car Services Want to Expand in San Francisco Despite Recent Hiccups","slug":"self-driving-car-services-want-to-expand-in-san-francisco-despite-recent-hiccups","publishDate":"2023-02-01 00:00:00","createdLocal":"2023-02-02 14:30:50.745544","feedName":"Autonomous Vehicle News","postSummary":{"childMarkdownRemark":{"html":"Last week, a self-driving car stopped in the middle of a busy street during the morning rush hour in San Francisco, jamming traffic for nearly two miles.\nWith services in San Francisco and Phoenix, Waymo, the self-driving car company owned by Google’s parent company, Alphabet, is one of two companies operating so-called robotaxis without drivers behind the wheel.\nThe other, Cruise, a subsidiary of General Motors, offers a service in San Francisco.\nThe services are the culmination of more than 10 years of research, development and testing by the two companies.\nAfter pouring billions of dollars into the technology, both say they will soon introduce driverless services in other cities, too.
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