Cybertruck enthusiasts will be interested to read in detail many of the early design features to be expected in Tesla’s Cybertruck from a recently identified patent with an International Filing Date of 20 Nov. 2020.\nThe credit of the patent goes to inventors Pawel Pietryka and Jean Helfenstein of Tesla Inc.\nOne of the most recent views thus far, has been a sighting of the Cybertruck in NYC in May, 2021.\nThe following is a brief summary of some of what’s in the patent, but Tesla enthusiasts are encouraged to get their “geek-on” and delve into the details.\nAs stated earlier, Tesla enthusiasts are encouraged to give the document a read for a full appreciation of what to expect in the Tesla Cybertruck.
"}}}},{"node":{"postTitle":"Biometric Face Recognition in Everyday Life","slug":"biometric-face-recognition-in-everyday-life","publishDate":"2021-05-28 16:22:54+00:00","createdLocal":"2021-05-29 14:31:07.066196","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"It is worth dwelling on biometric face recognition and the application of the method in everyday life.\nKey benefitsThe face recognition system is more and more included in everyday life.\nThe operator is obliged to track the correct receipt of the winnings to the specified account, which is confirmed by biometric face recognition.\nThanks to the face recognition system, customers previously caught in fraudulent activities will not harm the institution and other players.\nAnd the biometric face recognition system will be improved as much as possible, and perhaps this process will soon become even invisible to humans.
"}}}},{"node":{"postTitle":"Image Recognition Market to Witness Stellar CAGR During the Forecast Period 2020 -2025","slug":"image-recognition-market-to-witness-stellar-cagr-during-the-forecast-period-2020-2025","publishDate":"2021-05-28 18:37:52","createdLocal":"2021-05-29 14:31:04.885954","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"The recent study on Image Recognition market scrupulously analyzes the workings of this industry vertical and its trajectory over 2020-2025.\nAn overview of the regional analysis:Geographically, Image Recognition market is segmented into North America, Europe, Asia-Pacific, Southeast Asia, Middle East and Africa, South America.\nAsk for Discount on Image Recognition Market Report at: https://www.marketstudyreport.com/check-for-discount/3840638?utm_source=fractovia.org&utm_medium=AKAdditional highlights from the Image Recognition market report:With regards to product landscape, Image Recognition market is categorized into Code Recognition,Digital Image Processing,Facial Recognition,Object Recognition,Pattern Recognition andOptical Character Recognition.\nTop-tier players in Image Recognition market are Google,Wikitude,LTU Technologies,Qualcomm,Honeywell,Hitachi,Attrasoft,Catchoom Technologies,Slyce,NEC,Planorama andTrax Retail.\n2020-2025 Global Floor-Standing Lamps Market Report - Production and Consumption Professional Analysis (Impact of COVID-19)Read More: https://www.marketstudyreport.com/reports/2020-2025-global-floor-standing-lamps-market-report-production-and-consumption-professional-analysis-impact-of-covid-192.
"}}}},{"node":{"postTitle":"Ambarella, Lumentum, ON Semiconductor partner on AI-based 3D sensing","slug":"ambarella-lumentum-on-semiconductor-partner-on-ai-based-3d-sensing","publishDate":"None","createdLocal":"2021-05-29 14:31:04.446209","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Photonics WorldAmbarella, Lumentum, ON Semiconductor partner on AI-based 3D sensing28 May 2021For new approaches to biometric access control, 3D locks, and intelligent sensing.\nAmbarella , an AI vision silicon company, Lumentum , a developer of photonic products, and ON Semiconductor , a provider of CMOS image sensor solutions, have announced two new “joint reference designs” that accelerate AIoT device deployment across verticals, building on the companies’ collaborations.\n“Ambarella’s vision is to combine AI processing with 3D and vision sensing to create an ambient intelligent future,” commented Fermi Wang, President and CEO of Ambarella.\n“Our industry leading RGB-IR sensor technology, combined with the advanced ISP capabilities of Ambarella’s AI vision SoCs, can bring both visible and IR images into devices simultaneously.\nFor this second generation of our joint solutions, we leveraged customer feedback to quadruple the resolution of our RGB-IR image sensors to 4K (8MP).”The three companies’ new joint AIoT solutions consist of two reference designs and additional 3D sensing development kits, each configured to address application-specific demands for the combination of AI processing, 3D depth sensing and vision sensing.
"}}}},{"node":{"postTitle":"Cortical response to naturalistic stimuli is largely predictable with deep neural networks","slug":"cortical-response-to-naturalistic-stimuli-is-largely-predictable-with-deep-neural-networks","publishDate":"2021-05-01 00:00:00","createdLocal":"2021-05-29 14:31:03.646760","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Together, our results highlight the advantages and ubiquitous applications of DNN encoding models of naturalistic stimuli.\nIn contrast to existing works that use a linear response model ( 4 , 7 ), we propose a convolutional neural network (CNN)–based response model where stimulus features are mapped onto neural data using nonlinear transformations.\nMost studies in visual encoding remain limited to static stimuli and evoked responses in relatively small cortical populations.\nHere, we demonstrate that encoding models trained with naturalistic data are not limited to modeling responses of their constrained stimuli set.\nHowever, previous research with naturalistic stimuli has shown that some brain regions maintain memory of the order of minutes during naturalistic viewing (49).
"}}}},{"node":{"postTitle":"Key Player Trax, Partium, Huawei, Honeywell, Hitachi - Digital Journal","slug":"key-player-trax-partium-huawei-honeywell-hitachi-digital-journal","publishDate":"2021-05-28 00:00:00","createdLocal":"2021-05-29 14:30:58.646475","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"For instance, Moscow, Russia, and China have adopted image recognition, pattern recognition, and facial recognition technologies to detect individuals and resist the spread of virus.\nAs a result of this, the service segment of the image recognition market has witnessed growth.Services for the image recognition market include implementation, deployment, product upgrades, maintenance, and consulting.\nThe vertical, which includes commercial banks, non-banking financial organizations, and insurance companies, uses image recognition technology for electronic data and content management.\nIt is a major player in the global image recognition market.\nGoogle is expanding its pool of ML talent with the purchase of a startup that specializes in smartphone image recognition.
"}}}},{"node":{"postTitle":"ICICI Lombard steps up on AI, deploys Microsoft’s speech services","slug":"icici-lombard-steps-up-on-ai-deploys-microsofts-speech-services","publishDate":"None","createdLocal":"2021-05-29 14:30:57.945755","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"MUMBAI: ICICI Lombard General Insurance is working towards using Microsoft ’s speech-to-text tools as a stepping stone to build up artificial intelligence ( AI ) capability in dealing with customers.The company has now deployed Azure Speech Services and Natural Language Processing in its outward call centres to automate supervision of calls.\nThe company has already tasted success in using image recognition under Microsoft’s Azure Cognitive Services in assessing claims.\nIt now aims to make further use of the cloud-based platform.According to ICICI Lombard chief of customer service, operations and technology Girish Nayak , the company does around 1,000 outbound calls a day.\nEarlier, it used to manually screen 20% of the calls to check compliance and quality of its tele-customer services.\nWe have used the Microsoft tools for fraud detection, It is a natural progression from AI,” said Nayak.
"}}}},{"node":{"postTitle":"Global Players – IBM, Samsung Electronics, Intel Corporation, HRL Laboratories – The Courier","slug":"global-players-ibm-samsung-electronics-intel-corporation-hrl-laboratories-the-courier","publishDate":"None","createdLocal":"2021-05-29 14:30:56.744724","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Latest added Neuromorphic Computing Market research study by MarketDigits offers detailed product outlook and elaborates market review till 2027.\nTo Avail deep insights of Neuromorphic Computing Market Size, competition landscape is provided i.e.\nImpact of Covid-19 on neuromorphic computing market:The COVID-19 pandemic has impacted the growth of the neuromorphic computing market in several verticals worldwide.\nThe need for better performing ICs will be a significant driver to the neuromorphic computing market during the forecast period.\nKey Market PlayersThe neuromorphic computing market was dominated by, Intel Corporation (US), IBM Corporation (US), BrainChip Holdings Ltd. (US), Qualcomm Technologies, Inc. (US) and HP Enterprise (US).
"}}}}]}},"pageContext":{"limit":8,"skip":2080,"irNumPages":301,"currentPage":261}}}