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    Machine Learning

    Machine Learning (ML), a subset of AI, allows systems to learn from data and improve over time. Explore ML algorithms, model training, and real-world applications in image recognition, natural language processing, and robotics.

    Video Analysis

    What is Intelligent Video Analysis? Explained!

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    How has your video security system been working out? If you’re running multiple sites with independent video systems, it can be a challenge. There’s only...
    machine vision

    The impact of Machine Vision applications

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    Due to its speed, accuracy, and repeatability, machine vision excels in the quantitative measurement of a structured scene. In contrast, human vision excels at...
    App Development

    App Development Checklist: Everything you need to do

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    The right way to start creating your application is by following an app development checklist that keeps you organized and pretty much on schedule....
    Web Scraping

    Web Scraping: Basics, benefits and business cases

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    The internet is a gold mine of information that’s just waiting on you to take it. Whether you need data on sports stats, product...
    5g

    Leveraging Machine Learning (ML) and 5G in industrial manufacturing

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    Combining two distinct technologies - 5G and machine learning (ML), opens the doors to many exciting industrial applications, especially in today’s communication landscape. This unprecedented...
    robot-hand

    Harnessing the power of machine learning for predictive marketing in robotics industry

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    The future belongs to the robots. As automation transforms industries everywhere, marketing teams face a new challenge - how to adapt their strategies for...
    database

    Unlocking the power and security of autonomous databases

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    The quest for efficient, secure, and agile database management has been ongoing in the ever-evolving digital infrastructure landscape. Relational databases, with their remarkable performance,...
    office

    Unlocking the power of retrieval-augmented generation

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    In the dynamic realm of natural language processing, a revolutionary paradigm is reshaping the landscape—retrieval-augmented generation. This cutting-edge approach converges the strengths of retrieval-based...
    Event-based cameras

    Event-based cameras and asynchronous visual processing in computer vision explained

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    For decades, computer vision has been largely built on one foundational assumption: that machines should see like traditional cameras—frame by frame. However, this frame-based...
    AI Training

    Imitation Learning vs. Reinforcement Learning: Choosing the Right Approach for offline AI training

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    As artificial intelligence systems increasingly rely on pre-collected data rather than live interaction, the debate between imitation learning and offline reinforcement learning (offline RL)...