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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.

    Quantum Machine Learning

    What is Quantum Machine Learning (QML)?

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    One of the big bottlenecks in the current machine learning research is classical computational power limits. The amount of data generated every day is...
    machine-learning

    Deep learning vs. traditional computer vision – A comparison

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    Deep Learning (DL) is used in digital image processing to solve difficult problems (e.g., image colorization, classification, segmentation, and detection). Deep learning methods like...
    computer vision

    Five key components of a machine vision system

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    Machine vision comprises using computer vision for all industrial and non-industrial applications. While computer vision is primarily concerned with image processing on a hardware...
    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...
    machine learning

    9 potential AI applications of machine learning (ML)

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    Artificial Intelligence (AI) is the capability of a machine or computer to emulate human tasks through learning and automation. AI is a rapidly growing...
    Machine vision

    Top 4 industrial applications of machine vision

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    Machine vision is useful for all industrial and non-industrial applications. A combination of hardware and software provides operational guidance to devices in executing their...
    image processing

    Deep learning vs. traditional image processing – A comparison

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    Deep learning (DL) has revolutionized traditional image processing, pushing the boundaries of Artificial Intelligence (AI) to unlock potential opportunities across industry verticals. DL helps achieve...
    graph

    How graph technology enhances context and connections

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    We humans are very good at collecting and processing information. Just imagine how we think when asked, “What do you think of when you...
    machine learning

    Long term research questions in machine learning (ML)

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    Over the last 50 years, machine learning (ML) has evolved from a small group of computer scientists who wanted to see if computers could...
    machine learning

    Machine Learning: A key component in business transformation

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    Machine learning (ML) is experiencing an unprecedented boom in several academic and business fields and is an important lever for transformation in the business...
    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...
    scientific research

    Machine Learning (ML) in scientific research

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    Processing large amounts of data generated in scientific fields such as particle physics, astronomy, biology, physics, medicine, the life sciences, and more is part...