The image sensors market was valued at USD 15.84 billion in 2019 and is expected to reach a value of USD 29.49 billion by 2025, at a CAGR of 11%, during the forecast period 2020-2025.\nThese imaging applications have found a high adoption in industrial, media, medical, and consumer applications.\nDynamics of this kind are influencing the image sensor market growth globally._– Vendors in the market are already keeping up with these applications.\n_Competitive LandscapeThe Image Sensors Market is fragmented in nature, and with significant partnerships and innovations in the field of the image sensors are catering intense rivalry.\nTeledyne e2v, Teledyne DALSA, and Teledyne Princeton Instruments are part of the Teledyne Imaging Group and jointly expect to expand the scale of operations.
"}}}},{"node":{"postTitle":"Global Image Recognition in Retail Market Analysis 2021-2026 – IBM, AWS, Google, Microsoft, Trax, Intelligence Retail – Renewable Energy Zone","slug":"global-image-recognition-in-retail-market-analysis-2021-2026-ibm-aws-google-microsoft-trax-intelligence-retail-renewable-energy-zone","publishDate":"None","createdLocal":"2021-06-01 14:30:54.203259","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"It also incorporates the extrinsic parameters heavily drawing the directions of the Global Image Recognition in Retail Market growth and development.\nInternal dynamics and business strategies of core significance to the Global Image Recognition in Retail Market are described in the study.\nThe Major Players Covered in Global Image Recognition in Retail Market are:IBMAWSGoogleMicrosoftTraxIntelligence RetailVistBasicSnap2InsightIntelNVidia CorporationNECDEDI LLCGlobal Image Recognition in Retail Market by Type:On-PremisesCloud BasedGlobal Image Recognition in Retail Market by Application:Security and SurveillanceVision AnalyticsMarketing and AdvertisingOthersRead complete report @ https://www.orbisresearch.com/reports/index/global-image-recognition-in-retail-market-2021-by-company-regions-type-and-application-forecast-to-2026It combines the diverse range of data crucial to the Global Image Recognition in Retail Market including the detailed analysis of the Global Image Recognition in Retail Market segments.\nThe opportunistic outlook of the Global Image Recognition in Retail Market enables the market participants to access in-depth knowledge of the market dynamics.\nThe Global Image Recognition in Retail Market is massively dominated by the regions of North America and Europe owing to the highly advanced industrial infrastructure, increasing expenditure in the technological ecosystem and prevalence of the top Global Image Recognition in Retail Market players.
"}}}},{"node":{"postTitle":"Foxconn-PTT partnership to expedite electric vehicles development in Thailand, says GlobalData","slug":"foxconn-ptt-partnership-to-expedite-electric-vehicles-development-in-thailand-says-globaldata","publishDate":"None","createdLocal":"2021-06-01 14:30:53.990251","feedName":"Connected Car","postSummary":{"childMarkdownRemark":{"html":"[SPACE] by BMW will be Open to the Public from June 4 Through November 30 and Showcase the Latest in BMW Group Performance, Innovation and Design.\nmore >>Independent testing confirms Saietta’s AFT 140 electric motor increases the range of a standard Renault Twizy by 10% Trials took place in Amsterdam, Netherlands, on public roads and across a wide range of weather and driving conditions Saietta’s high-tech Axial Flux Technology (A more >>Automobili Pininfarina Battista receives the Electric Dream award from the expert judges at Electrifying.com Award follows the launch of Automobili Pininfarina London, with the announcement of the latest retailer partner for the region The pure-electric hyper GT continues to impress, with first clients more >>New powerful P300 HST joins the recently launched Range Rover Evoque Autobiography Sporty stealth: Powerful Evoque HST features a Black Pack, Gloss Black Sliding Panoramic Roof and Gloss Black 20-inch alloys &nb more >>European nations are leading the way in new Electric Vehicle (EV) sales despite the emergence of Mainland China as the biggest market for EVs.\nAccording to data presented by TradingPlatforms.com, 15 European countries had the highest share of plug-in EVs in new passenger c more >>Riders typically use e-scooters for short journeys, with an average journey distance of 3 km (1.8 miles) and 23 minutes* Total distance travelled with Spin e-scooters add up to more than 275,000 km (170,762 miles) since launch Ongoing safety initiatives so far have seen 150 individuals participate more >>— The first global electric vehicle for the brand aiming at coexistence with nature — Battery electric SUV that SUBARU is jointly-developing with Toyota Motor Corporation Built on e-SUBARU more >>The new ID.4 GTX ID.4 GTX - combined power consumption in kWh/100 km (NEDC): 16.3, CO2 emissions in g/km: 0; efficiency class: A+.\nDrive more >>Polestar 2 model range expands to three variants Three powertrains include dual- and single-motor powertrains with long- and standard-range battery options Three optional packs enhance value while streamlining choices Pricing ranges from £39,900 to £45,900 more >>Hyundai Motor entered a strategic partnership with Uber in Europe Through this partnership, Hyundai offers Uber drivers discounted access to its IONIQ Electric and Kona Electric models The goal of this cooperation is to increase adoption of electric vehicles and expansion of charging infrastructur more >>The EQS is the stand-alone, all-electric member of the new S-Class range and will be launched in Europe in August.\nWith the EQE business saloon and the SUV variants of the EQS and EQE, further models based on the new architecture will follow soon.
"}}}},{"node":{"postTitle":"Luminar Technologies : Four Leading Industry Organizations Partner with Luminar to Shape Future of Automotive","slug":"luminar-technologies-four-leading-industry-organizations-partner-with-luminar-to-shape-future-of-automotive","publishDate":"None","createdLocal":"2021-06-01 14:30:53.901788","feedName":"Autonomous Vehicle News","postSummary":{"childMarkdownRemark":{"html":"Luminar Technologies, Inc. (“Luminar” or “the Company”) (Nasdaq: LAZR), the global leader in automotive lidar hardware and software technology, today announced that it joined the Alliance for Automotive Innovation, CADIA, Auto-ISAC, and PAVE- four key industry organizations that each play an important role in shaping the future of the automotive industry.\n“All four of these organizations are recognized as automotive industry thought leaders and influencers, and we look forward to having a seat at the table at each,” said Austin Russell, Founder and CEO of Luminar.\nThe Center for Automotive Diversity and Inclusion (CADIA) works to advance its culture of inclusivity and help break down systemic barriers that limit equity in representation within the automotive industry.\nworks to advance its culture of inclusivity and help break down systemic barriers that limit equity in representation within the automotive industry.\nis an industry-driven community to share and analyze intelligence about emerging cybersecurity risks to the vehicle, and to collectively enhance vehicle cybersecurity capabilities across the global automotive industry, including light- and heavy-duty vehicle OEMs, suppliers and the commercial vehicle sector.
"}}}},{"node":{"postTitle":"AI Image Recognition Market Industry Research, Share Analysis, Growth Prospects of Top Organizations IBM Corporation, Amazon Web Services (AWS), Inc., NVIDIA Corporation, Samsung Electronics, Qualcomm","slug":"ai-image-recognition-market-industry-research-share-analysis-growth-prospects-of-top-organizations-ibm-corporation-amazon-web-services-aws-inc-nvidia-corporation-samsung-electronics-qualcomm","publishDate":"None","createdLocal":"2021-06-01 14:30:53.361158","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"“AI Image Recognition market report monitors the current market trends, significant challenges, opportunities and technological progress.\nAI Image Recognition Industry Type:HardwareSoftwareServicesAI Image Recognition Industry ApplicationAutomotiveHealthcareBFSIRetailOtherVast majority of the advice given within this AI Image Recognition report depends on the last data and current market condition.\nThe collation of AI Image Recognition data is accomplished by corresponding secondary and primary research including interviews with the pros of AI Image Recognition markets, together with their opinions.\nThe AI Image Recognition market aids in choosing precise conclusion regarding technical and business aspects by providing an extensive overview of this AI Image Recognition market and a comprehensive evaluation of varied market dimensions.\nThe AI Image Recognition market report discusses the current market segments together with all the forthcoming sections that help with foreseeing prospects of the AI Image Recognition marketplace growth.
"}}}},{"node":{"postTitle":"Microsoft, Nuance Communications, Google, Audible Magic, Beatgrid Media, ACRCloud, ArcSoft, Civolution, Clarifai, DataScouting, Digimarc, Enswers, Gracenote, Muffin, Shazam Entertainment, Viscovery – ","slug":"microsoft-nuance-communications-google-audible-magic-beatgrid-media-acrcloud-arcsoft-civolution-clarifai-datascouting-digimarc-enswers-gracenote-muffin-shazam-entertainment-viscovery","publishDate":"None","createdLocal":"2021-06-01 14:30:52.782624","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"“The Covid-19 outbreak has led to the biggest contraction in all the commercial sectors across the world, and the Global Content Recognition Market is no exception.\nIt has led to uncertainties in the Market players due to the impact of Covid-19 impact on the Global Content Recognition Market economy.\nThis Global Content Recognition Market report provides valuable information about all the Global Content Recognition Market influencers which increases the transparency, agility, and resilience of the Market participants towards the Global Content Recognition Market.\nThe Global Content Recognition Market is segmented into various categories for better analysis.\nThe Market players in the Global Content Recognition Market are facing an unprecedented situation due to the COVID-19 pandemic.
"}}}},{"node":{"postTitle":"Ford (F) Raises the EV Bar: Should You Buy the Stock Now?","slug":"ford-f-raises-the-ev-bar-should-you-buy-the-stock-now","publishDate":"2021-06-01 00:00:00","createdLocal":"2021-06-01 14:30:52.731884","feedName":"Connected Car","postSummary":{"childMarkdownRemark":{"html":"Ford is certainly one of the more sought-after auto biggies likely to emerge as long-term winners in the EV race.\nFord Takes EV Game a Notch HigherBy the end of the decade, Ford anticipates 40% of its global vehicle volume to become all-electric.\nSuch has been the appeal of the vehicle that the company claims that 70% of Mustang Mach-E buyers are first-time Ford customers.\nBoosting Battery Tech: Ford aims to lower battery cost by 40% by 2025 and is on track to achieve $100/kWh within the time frame.\nIonBoost+ is Ford’s next-gen battery tech, ideal for large vehicles and performance products.
"}}}},{"node":{"postTitle":"Understand Deep Learning: Top research papers","slug":"understand-deep-learning-top-research-papers","publishDate":"2021-06-01 09:14:25+00:00","createdLocal":"2021-06-01 14:30:52.063000","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Hey guys, if you are a deep learning enthusiast or if you already know about it and are working on it, here you will get some of the well-known and interesting papers written on deep learning which will add up to your knowledge and may give you some new insights.\nDeep LearningDeep Learning is one of the top papers written on Deep Learning, it is written by Yann L., Yoshua B., and Geoffrey H. It facilitates computational models that are embedded with multiple processing layers to learn representations of data with multiple levels of abstraction.\nThese methods have remarkably improved the state-of-the-art in speech recognition, recognition of visual objects, object detection, and many other domains such as genomics and drug discovery.\nSome of the Google services make use of TensorFlow in the production department, it has been released as an open-source project, and it has become widely used for research in machine learning.\nIt reviews deep supervised learning, unsupervised learning, indirect search for short programs encoding deep and large networks, and reinforcement learning & evolutionary computation.
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