Audi is considering buying an electric platform from a competitor in China to shorten development times for its new models, company sources told Automotive News Europe sister publication Automobilwoche.\nVolkswagen Group's SSP software-led platform, which Audi will use, has also been pushed back to 2029 to ensure any software glitches are resolved.\nBYD and BAIC are among Chinese automakers with EV platforms that could be used by Audi.\nAudi is talking with a number of companies, sources told Automobilwoche without mentioning names.\nOutgoing Audi CEO Markus Duesmann earlier this year promised that the brand had a \"product fireworks\" in the pipeline without being specific.
"}}}},{"node":{"postTitle":"Image Recognition Market Competitive Research And Precise Outlook 2023 To 2030 – Qualcomm, NEC, Google","slug":"image-recognition-market-competitive-research-and-precise-outlook-2023-to-2030-qualcomm-nec-google","publishDate":"None","createdLocal":"2023-07-11 14:30:51.123295","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Request Free Sample Report @ :- https://www.infinitybusinessinsights.com/request_sample.php?id=1429054?Mode=208Leading players of Image Recognition Market including:Qualcomm, NEC, Google, LTU Technologies, Catchoom Technologies, Honeywell, Hitachi, Slyce, Wikitude, AttrasoftTotal Market by Segment:Global Image Recognition Market Segment Percentages By TypeCode RecognitionDigital Image ProcessingFacial RecognitionObject RecognitionPattern RecognitionOptical Character RecognitionGlobal Image Recognition Market Segment Percentages by ApplicationBFSIMedia & EntertainmentRetail & Consumer GoodsIT & TelecomGovernmentHealthcareTransportation & LogisticsOthersImage Recognition Market – Covid-19 Impact and Recovery Analysis:Before the global COVID pandemic hit, the image recognition sector was expanding strongly and healthily.\nTo identify persons based on distinctive face traits, the global image recognition market already uses facial recognition and biometric data technology.\nThus, all of these factors contribute to the expansion of the image recognition market in North America.\nFor instance, image recognition algorithms can swiftly spot irregularities or probable diseases in the field of radiology, assisting radiologists in their diagnoses.\nTable of Content (TOC):Chapter 1 Introduction and OverviewChapter 2 Economic Impact and Industry PricingChapter 3 New technologies and emerging trends with significant critical rolesChapter 4 Analysis, trends, and growth drivers of the global remote Image Recognition MarketChapter 5 Image Recognition Market Application and Business with Potential AnalysisChapter 6 Global Image Recognition Market Segment, Type, ApplicationChapter 7 Global Image Recognition Market Analysis (by Application, Type, End User)Chapter 8 Major Key Vendors Analysis of Image Recognition MarketChapter 9 Development Trend of AnalysisChapter 10 ConclusionContact us:Amit JSales Co-OrdinatorInternational: +1-929-251-4718Email: [email protected]Website: https://www.infinitybusinessinsights.comFacebook: https://facebook.com/Infinity-Business-Insights-352172809160429LinkedIn: https://www.linkedin.com/company/infinity-business-insightsTwitter: https://twitter.com/IBInsightsLLP
"}}}},{"node":{"postTitle":"Neuromorphic computing: Unlocking the potential of brain-inspired computer systems","slug":"neuromorphic-computing-unlocking-the-potential-of-brain-inspired-computer-systems","publishDate":"2023-07-11 00:00:00","createdLocal":"2023-07-11 14:30:50.340535","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Neuromorphic computing is an approach to computing that is inspired by the structure and function of the human brain.\nNeuromorphic computing aims to replicate the brain's ability to store and process information in a highly parallel and energy-efficient manner.\nUnlike traditional computers that separate processing and memory, neuromorphic computers integrate these functions, leading to potentially faster and more energy-efficient computation.\nResearch in neuromorphic computing is being conducted by various organizations, including universities, technology companies like Intel Labs and IBM, and government institutions.\nNeuromorphic computing offers the promise of energy-efficient and highly adaptable computing systems that can excel in tasks where traditional computers face challenges.
"}}}},{"node":{"postTitle":"AI Chips: The Game Changer in Advanced Image Processing Technology","slug":"ai-chips-the-game-changer-in-advanced-image-processing-technology","publishDate":"2023-07-11 09:21:27+00:00","createdLocal":"2023-07-11 14:30:50.006028","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Exploring the Role of AI Chips: Revolutionizing Advanced Image Processing TechnologyArtificial Intelligence (AI) has been making waves in various sectors, and one area where its impact is significantly felt is in advanced image processing technology.\nAI chips, also known as AI accelerators, are specialized silicon chips designed specifically for accelerating AI applications.\nThey are engineered to handle the heavy computational demands of machine learning and deep learning algorithms, which are the backbone of advanced image processing technology.\nThe impact of AI chips on advanced image processing technology is not just limited to speed and efficiency.\nIn conclusion, AI chips are truly a game-changer in advanced image processing technology.
"}}}},{"node":{"postTitle":"Remove Your Limits: This AI Approach Uses Diffusion Models to Enable Open-Vocabulary Object Segmentation","slug":"remove-your-limits-this-ai-approach-uses-diffusion-models-to-enable-open-vocabulary-object-segmentation","publishDate":"2023-07-11 00:00:00","createdLocal":"2023-07-11 14:30:48.863150","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"One of the main problems in object segmentation models is their limited dictionaries.\nThere have been multiple attempts to tackle this “closed” vocabulary of object segmentation models.\nHow can we make object segmentation models’ vocabulary an open one?\nSource: https://arxiv.org/abs/2303.04803ODISE is the first work to explore large-scale text-to-image diffusion models for open-vocabulary segmentation tasks.\nIt proposes a novel pipeline to effectively leverage both text-image diffusion and discriminative models to perform open-vocabulary panoptic segmentation.
"}}}},{"node":{"postTitle":"Sony and Honda's \"Afeela\" car showcases automotive's high-tech future","slug":"sony-and-honda-s-afeela-car-showcases-automotive-s-high-tech-future","publishDate":"2023-07-11 00:00:00","createdLocal":"2023-07-11 14:30:46.524748","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Why it matters: As cars get closer to driving themselves, the software-defined passenger experience will differentiate brands from one another.\nThe features of the Afeela prototype, while still under development and subject to change, represent broader industrywide trends.\nThe music pumps through the seat and the movie's sound effects surround you as Spidey swings through city buildings on the car's dashboard screen.\nAfeela cars will also have automated driving features.\n💭 Kate's thought bubble: With automated driving features and a curated entertainment experience, the Afeela car is not just about getting from point A to point B.
"}}}},{"node":{"postTitle":"WiMi Hologram Cloud is Developing A Digital Human Multi-channel Data Management System","slug":"wimi-hologram-cloud-is-developing-a-digital-human-multi-channel-data-management-system","publishDate":"None","createdLocal":"2023-07-11 14:30:45.961783","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"BEIJING, July 11, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) (\"WiMi\" or the \"Company\"), a leading global Hologram Augmented Reality (\"AR\") Technology provider, today announced that it is developing a Digital Human Multi-channel Data Management System, which can unify the management and processing of multi-channel data of virtual digital humans, including voice, image, pose, movement, emotion and other data.\nData analysis and mining module: This module uses data mining and data analysis techniques to analyze and mine the stored multi-channel data of digital people to extract valuable information.\nFor example, the system can realize the voice interaction of the digital human by collecting the voice data and applying it with voice recognition technology.\nAbout WIMI Hologram CloudWIMI Hologram Cloud, Inc. (NASDAQ:WIMI) is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others.\nIts services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.
"}}}},{"node":{"postTitle":"CMU, Fujitsu Team Up for Dynamic 3D Structure Representation","slug":"cmu-fujitsu-team-up-for-dynamic-3d-structure-representation","publishDate":"None","createdLocal":"2023-07-11 14:30:43.543160","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"We use cookies to improve user experience and analyze our website traffic as stated in our Privacy Policy .\nBy using this website, you agree to the use of cookies unless you have disabled them.
"}}}}]}},"pageContext":{"limit":8,"skip":3392,"homeNumPages":1077,"currentPage":425}}}