The Global Content Intelligence Market size is expected to reach $6.8 billion by 2029, rising at a market growth of 30.6% CAGR during the forecast period.\nA platform for smart content intelligence can help users decide what to write about in the future and track changes in social media usage and marketing efficiency.\nContent intelligence must work closely with the content management system because it depends on a substantial amount of data to function.\nHowever, Staff with specialized skill sets is required for businesses to properly develop, manage, and use content intelligence systems because it is a challenging technology.\nThis acquisition would enhance the ability of Ment to help enterprises maximize productivity and enhance their bottom line by decreasing time-consuming manual work processes.
"}}}},{"node":{"postTitle":"What is Google Lens and how do you use the image recognition app","slug":"what-is-google-lens-and-how-do-you-use-the-image-recognition-app","publishDate":"2023-07-13 08:49:40+00:00","createdLocal":"2023-07-13 14:30:47.114947","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"If you have heard about Google Lens but are unsure exactly what it is or how to use it.\nOnce an image is captured, Google Lens uses its vast search engine capabilities to provide you with relevant and detailed information.\nIt’s integrated within the Google Photos and Google App on Android devices, while iOS users can download it from the App Store.\nImage recognition featuresGoogle Lens’ image recognition capabilities are backed by a powerful AI, making it possible to identify virtually any object, plant, or animal.\nGoogle Lens merges artificial intelligence with image recognition, it’s providing a new way for people to interact with their surroundings.
"}}}},{"node":{"postTitle":"Is Africa’s financial ecosystem equipped to fight rising cyber fraud","slug":"is-africas-financial-ecosystem-equipped-to-fight-rising-cyber-fraud","publishDate":"2023-07-13 00:00:00","createdLocal":"2023-07-13 14:30:46.517658","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"With rising mobile and internet penetration, banking and identity solutions have shifted to mobile.\nThese advancements in technology and banking solutions have brought simplicity and ease to financial services.\nRising cyber FraudIn recent years there have been ongoing reports of banking fraud and breaches both in the fintech and traditional banking sectors.\nThere’s quite a lot of KYC automation technology and other security technology currently available in the market.\nBy looking around the ecosystem for existing solutions and sharing available data with industry peers they can scale more efficiently and more securely.
"}}}},{"node":{"postTitle":"Google Bard chatbot now available in Hebrew and Arabic","slug":"google-bard-chatbot-now-available-in-hebrew-and-arabic","publishDate":"2023-07-13 10:03:12.642117+00:00","createdLocal":"2023-07-13 14:30:45.557642","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Google announced on Thursday morning that its chatbot, Bard, now supports more than 40 new languages - including Hebrew and Arabic - and is being introduced for the first time in Europe and Brazil.\n4 View gallery Bard is now available in more than 40 languages ( Photo: ssi77 / Shutterstock.com )Bard, Google's answer to OpenAI's ChatGPT, was launched in March and reached Israel in April.\nAside from Hebrew and Arabic, some of the other languages that Bard will now support include Chinese, German, Hindi and Spanish.\nWith this feature, users could, for example, ask Bard to write a children's story and instruct it to read the story aloud.\n4 View gallery Bard's new 'listen' feature ( Media: Google )Another interesting feature integrates Google Lens capabilities into Bard for image recognition and analysis.
"}}}},{"node":{"postTitle":"Automated F18-FDG PET/CT image quality assessment using deep neural networks on a latest 6-ring digital detector system","slug":"automated-f18-fdg-pet-ct-image-quality-assessment-using-deep-neural-networks-on-a-latest-6-ring-digital-detector-system","publishDate":"None","createdLocal":"2023-07-13 14:30:44.817768","feedName":"Image Recognition","postSummary":{"childMarkdownRemark":{"html":"Imaging protocol and image reconstructionExaminations were performed using a latest generation six-ring digital detector PET/CT scanner (Discovery MI Gen 2, GE Healthcare, Waukesha, WI).\nThe SNR served as a surrogate for objective image quality.\nAutomated image quality assessment using machine learningFor automated image quality assessment, the fast.ai deep learning library14 was used in conjunction with a Res-Net-3415, a 34-layer residual convolutional network pre-trained on the Image-Net dataset (https://arxiv.org/abs/1512.03385).\nThe MIP datasets from PET images were exported with a total of 400 DICOM files.\nAssessment of group differences was determined using an unpaired t-test after ensuring a normal distribution of the data using the Shapiro–Wilk test.
"}}}},{"node":{"postTitle":"Daimler Truck sees revenue growing as it focuses on autonomous vehicles, ET Auto","slug":"daimler-truck-sees-revenue-growing-as-it-focuses-on-autonomous-vehicles-et-auto","publishDate":"None","createdLocal":"2023-07-13 14:30:43.195397","feedName":"Autonomous Trucks","postSummary":{"childMarkdownRemark":{"html":"We use cookies to ensure best experience for youWe use cookies and other tracking technologies to improve your browsing experience on our site, show personalize content and targeted ads, analyze site traffic, and understand where our audience is coming from.\nYou can also read our privacy policy, We use cookies to ensure the best experience for you on our website.\nBy choosing I accept, or by continuing being on the website, you consent to our use of Cookies and Terms & Conditions.
"}}}}]}},"pageContext":{"limit":8,"skip":3256,"homeNumPages":1077,"currentPage":408}}}