AUGMENTED REALITY
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The document introduces the speaker and their topic of augmented reality (AR). It defines AR as technology that adds digital elements like location information, sound, and other data onto the real physical environment. Examples provided include AR glasses that can overlay information directly onto a user's field of vision. The document discusses how AR combines real and virtual elements and notes some of the earliest AR devices. It suggests AR was initially used more for professional applications but is now finding more commercial uses and has potential to impact various industries. The document speculates on the future of AR, comparing its current stage to other new technologies in their early phases of development like movies and computing.
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2) AR has various applications such as disaster prediction, virtual home tours, and intuitive navigation. It can use files like JPEG and PNG as markers.
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Delivering solutions to Azure may involve a variety of architecture patterns involving your applications, APIs data and associated Azure resources that comprise the solution. This session will use reference architectures to illustrate the security considerations to protect your Azure resources and data, how to achieve Zero Trust, and why it matters. Topics covered will include specific security recommendations for types Azure resources and related network security practices. The goal is to give you a breadth of understanding as to typical security requirements to meet compliance and security controls in an enterprise solution.Lessons Learned from Developing Secure AI Workflows.pdf
Lessons Learned from Developing Secure AI Workflows.pdfPriyanka Aash
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Lessons Learned from Developing Secure AI WorkflowsRaman Bhaumik - Passionate Tech Enthusiast
Raman Bhaumik - Passionate Tech EnthusiastRaman Bhaumik
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A Junior Software Developer with a flair for innovation, Raman Bhaumik excels in delivering scalable web solutions. With three years of experience and a solid foundation in Java, Python, JavaScript, and SQL, she has streamlined task tracking by 20% and improved application stability.MPU+: A Transformative Solution for Next-Gen AI at the Edge, a Presentation...
MPU+: A Transformative Solution for Next-Gen AI at the Edge, a Presentation...Edge AI and Vision Alliance
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/mpu-a-transformative-solution-for-next-gen-ai-at-the-edge-a-presentation-from-fotonation/
Petronel Bigioi, CEO of FotoNation, presents the MPU+: A Transformative Solution for Next-Gen AI at the Edge tutorial at the May 2025 Embedded Vision Summit.
In this talk, Bigioi introduces MPU+, a novel programmable, customizable low-power platform for real-time, localized intelligence at the edge. The platform includes an AI-augmented image signal processor that enables leading image and video quality.
In addition, it integrates ultra-low-power object and motion detection capabilities to enable always-on computer vision. A programmable neural processor provides flexibility to efficiently implement new neural networks. And additional specialized engines facilitate image stabilization and audio enhancements.A Constitutional Quagmire - Ethical Minefields of AI, Cyber, and Privacy.pdf
A Constitutional Quagmire - Ethical Minefields of AI, Cyber, and Privacy.pdfPriyanka Aash
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A Constitutional Quagmire - Ethical Minefields of AI, Cyber, and Privacy" How to survive with 1 billion vectors and not sell a kidney: our low-cost c...
" How to survive with 1 billion vectors and not sell a kidney: our low-cost c...Fwdays
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Let's talk about our history. How we started the project with a small vector database of less than 2 million records. Later, we received a request for +100 million records, then another +100... And so gradually we reached almost 1 billion. Standard tools were quickly running out of steam - we were running into performance, index size, and very limited resources. After a long series of trials and errors, we built our own low-cost cluster, which today stably processes thousands of queries to more than 1B vectors.AI Agents and FME: A How-to Guide on Generating Synthetic Metadata
AI Agents and FME: A How-to Guide on Generating Synthetic MetadataSafe Software
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In the world of AI agents, semantics is king. Good metadata is thus essential in an organization's AI readiness checklist. But how do we keep up with the massive influx of new data? In this talk we go over the tips and tricks in generating synthetic metadata for the consumption of human users and AI agents alike.From Manual to Auto Searching- FME in the Driver's Seat
From Manual to Auto Searching- FME in the Driver's SeatSafe Software
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Finding a specific car online can be a time-consuming task, especially when checking multiple dealer websites. A few years ago, I faced this exact problem while searching for a particular vehicle in New Zealand. The local classified platform, Trade Me (similar to eBay), wasnt yielding any results, so I expanded my search to second-hand dealer sitesonly to realise that periodically checking each one was going to be tedious. Thats when I noticed something interesting: many of these websites used the same platform to manage their inventories. Recognising this, I reverse-engineered the platforms structure and built an FME workspace that automated the search process for me. By integrating API calls and setting up periodic checks, I received real-time email alerts when matching cars were listed. In this presentation, Ill walk through how I used FME to save hours of manual searching by creating a custom car-finding automation system. While FME cant buy a car for youyetit can certainly help you find the one youre after!Techniques for Automatic Device Identification and Network Assignment.pdf
Techniques for Automatic Device Identification and Network Assignment.pdfPriyanka Aash
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Techniques for Automatic Device Identification and Network Assignment9-1-1 Addressing: End-to-End Automation Using FME
9-1-1 Addressing: End-to-End Automation Using FMESafe Software
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This session will cover a common use case for local and state/provincial governments who create and/or maintain their 9-1-1 addressing data, particularly address points and road centerlines. In this session, you'll learn how FME has helped Shelby County 9-1-1 (TN) automate the 9-1-1 addressing process; including automatically assigning attributes from disparate sources, on-the-fly QAQC of said data, and reporting. The FME logic that this presentation will cover includes: Table joins using attributes and geometry, Looping in custom transformers, Working with lists and Change detection.Securing Account Lifecycles in the Age of Deepfakes.pptx
Securing Account Lifecycles in the Age of Deepfakes.pptxFIDO Alliance
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Securing Account Lifecycles in the Age of DeepfakesMPU+: A Transformative Solution for Next-Gen AI at the Edge, a Presentation...
MPU+: A Transformative Solution for Next-Gen AI at the Edge, a Presentation...Edge AI and Vision Alliance
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