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Check out this excellent video I came across today! It explains the differences between Artificial Intelligence, Augmented Intelligence, and Human Intelligence, and shows how they all work together. #AI #AugmentedIntelligence #HumanIntelligence #Collaboration

In recent years, cameras have evolved into more than just passive observers. They've become essential tools for optimizing business processes. Advanced algorithms empowered cameras not just to capture images but also to understand them. This contextual understanding allowed for more meaningful insights to be derived from video data. Kibsi converts real-time video into structured data, offering unprecedented operational visibility. It’s time to explore how computer vision can revolutionize your operations! Check out this article for more insights on Kibsi > https://lnkd.in/gWQ4xGzd #AI #Kibsi #Article #Technology #innovation #Cameras #Processes #Data

Enhance efficiency, streamline operations and deliver extraordinary customer experiences using Generative AI for telecom business. From AI-curated semantic workflows to contextual video analysis for network monitoring, our innovations are setting new standards. Learn how Quantiphi is leading this transformation. 👉 More about our groundbreaking projects and partnership with NVIDIA in our latest blog post - https://hubs.la/Q02xnt680 #GenerativeAI #Telecom #Innovation #AI #Quantiphi #SolvingWhatMatters

🔥 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 “𝐅𝐥𝐨𝐰𝐒𝐀𝐌”: 𝐌𝐨𝐯𝐢𝐧𝐠 𝐎𝐛𝐣𝐞𝐜𝐭 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐒𝐞𝐠𝐦𝐞𝐧𝐭 𝐀𝐧𝐲𝐭𝐡𝐢𝐧𝐠 𝐌𝐨𝐝𝐞𝐥 (𝐒𝐀𝐌) 𝐚𝐧𝐝 𝐅𝐥𝐨𝐰!🔥 𝐌𝐨𝐭𝐢𝐯𝐚𝐭𝐢𝐨𝐧: The field of motion segmentation is a vibrant area of research, with the goal of discovering and segmenting moving objects in a video. The dedicated team from the 𝐕𝐢𝐬𝐮𝐚𝐥 𝐆𝐞𝐨𝐦𝐞𝐭𝐫𝐲 𝐆𝐫𝐨𝐮𝐩, 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐨𝐟 𝐎𝐱𝐟𝐨𝐫𝐝 𝐚𝐧𝐝 𝐂𝐌𝐈𝐂, 𝐒𝐡𝐚𝐧𝐠𝐡𝐚𝐢 𝐉𝐢𝐚𝐨 𝐓𝐨𝐧𝐠 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 has made a significant contribution with “𝐅𝐥𝐨𝐰𝐒𝐀𝐌”. It combines the power of the Segment Anything Model (SAM) with optical flow to discover and group moving objects, providing an effective solution for motion segmentation. 👉 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐅𝐮𝐥𝐥 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐚𝐧𝐝 𝐂𝐨𝐝𝐞 𝐡𝐞𝐫𝐞: https://lnkd.in/g--_mqg9 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: ✅ 𝐒𝐀𝐌 𝐚𝐧𝐝 𝐎𝐩𝐭𝐢𝐜𝐚𝐥 𝐅𝐥𝐨𝐰: FlowSAM combines the segmentation power of SAM with the ability of optical flow to discover and group moving objects. ✅ 𝐄𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧: FlowSAM outperforms previous approaches by a considerable margin in both single and multi-object benchmarks. ✅ 𝐒𝐞𝐪𝐮𝐞𝐧𝐜𝐞-𝐋𝐞𝐯𝐞𝐥 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧𝐬: FlowSAM extends frame-level segmentations to sequence-level segmentations that maintain object identity. #FlowSAM #MotionSegmentation #AI #Innovation #Technology 💚 Boost your motion segmentation capabilities with FlowSAM – A significant step forward in motion segmentation, where quality meets efficiency! 💚

Identifying and egmenting moving parts of the image can massively speed up processing for video applications by culling parts of the image that don't need to be processed. There are still some artifacts here, but 2 or 3 papers down the line, we will see this technology implemented across the industry #VFX #AI #video #machinelearning

🚀 Exciting News in Computer Vision! Introducing Ultralytics YOLOv8 – a cutting-edge, state-of-the-art (SOTA) model that takes object detection and tracking to new heights! 🔍 YOLOv8 builds upon the success of its predecessors, bringing forth innovations that enhance performance and flexibility. It's designed to be fast, accurate, and user-friendly, making it your go-to choice for a myriad of tasks – from object detection and tracking to instance segmentation, image classification, and pose estimation. 🌐Whether you're a seasoned professional or just getting started in computer vision, YOLOv8 is engineered to empower your projects with unparalleled accuracy and efficiency. Elevate your work to the next level with YOLOv8 – where innovation meets performance! For further information visit this page:https://lnkd.in/d3RFvwNQ #YOLOv8 #ComputerVision #Innovation #ObjectDetection #AI

Deepfakes Part 2: Mastering the Art of Detection. Following up on my previous post about the intriguing yet concerning world of deepfakes, today I want to focus on how we can detect these AI-generated deceptions. Understanding these techniques is crucial to preserving trust in our digital world. 1.Blink Detection: Deepfakes often fail to accurately replicate natural blinking patterns. Analyzing blink rates and patterns can reveal inconsistencies that indicate manipulation. 2.Artifact Analysis: Deepfakes may contain subtle visual artifacts or inconsistencies at the pixel level. Advanced algorithms can detect these anomalies, exposing the fakes. 3.Audio-Visual Inconsistencies: Synchronization of audio with lip movements can be off in deepfakes. By comparing these elements, we can spot discrepancies that are typical of deepfake content. 4.Biometric Analysis: Analyzing unique facial features and movements that are hard to replicate helps in identifying deepfakes. This includes studying micro-expressions and other subtle biometric cues. 5.Source Verification: Checking the source of the media and cross-referencing with verified content can help identify deepfakes. Authenticity can often be traced back through reliable sources and metadata. 6.Use of Detection Tools: Employing specialized tools like Deepware Scanner, Sensity, Microsoft Video Authenticator, and others enhances our ability to detect deepfakes effectively Detecting deepfakes is not just a technical challenge; it's a vital step in protecting our society from misinformation and preserving the integrity of digital media. As we continue to innovate, let's also ensure we're equipped to discern truth from fabrication. What detection techniques or tools have you found effective? Let's continue the conversation on how we can navigate this complex landscape responsibly. #AI #Deepfakes #TechEthics #Innovation #AITrends #alx

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The difference between whether something seems as random versus complex depends upon the ability to discover the hidden patterns. Random events don’t have any pattern but there are few truly random business events. Most random business events appear to be random because the detection systems and processes employed by business are just incapable of detecting the underlying patterns. This is where AI becomes such an important tool for business - it can detect extremely complex patterns with very few examples. The next generation of innovation is about generating a positive Return on Complexity. As businesses and industries get tangled into a single Commerce Web, ability to profitably handle complexity will be the only sustainable competitive advantage. #digitalcommerce #complexity #competitivestrategy #genai #artificialintelligence #aiagents #airisk #aigovernance #aistrategy

Existing AI models account for irrational decision-making but generally predict that errors will occur randomly. In reality, humans and machines make mistakes in more predictable patterns. The latent inference budget model identifies these patterns and uses them to forecast future behavior. https://lnkd.in/ekMGE27E FuturistSpeaker.com #foresight #predictions #futuretrends #futureofwork #futurejobs #keynotespeaker #futuriststrategy #mostquoted