7 afleveringen

This podcast series that embarks on a deep dive into the world of MATLAB and its transformative power for engineers and scientists. I'm your host, Marco Roggero, and over the last 18 years, I've been both a student and a guide through the intricate labyrinths of MATLAB's capabilities, witnessing how it revolutionizes workflows across diverse disciplines.

MATLAB Unboxed: A Journey with Marco Che Figo

    • Wetenschap

This podcast series that embarks on a deep dive into the world of MATLAB and its transformative power for engineers and scientists. I'm your host, Marco Roggero, and over the last 18 years, I've been both a student and a guide through the intricate labyrinths of MATLAB's capabilities, witnessing how it revolutionizes workflows across diverse disciplines.

    MATLAB Unboxed: MathWorks at Embedded World 2024

    MATLAB Unboxed: MathWorks at Embedded World 2024

    Dive into episode 6 of MATLAB Unboxed as Marco Roggero takes you through the heart of Embedded World 2024, happening from 9th to 11th April in Nuremberg, Germany. Discover the latest in embedded systems innovation with MathWorks at the forefront, showcasing MATLAB and Simulink's newest features. Explore live demonstrations, interactive sessions, and expert insights on the future of technology. Whether you’re deep in the field or just starting out, this episode is your guide to one of the tech industry's key events. Join us to unlock the potential of embedded systems with MathWorks at Embedded World 2024.

    • 5 min.
    MATLAB unboxed: Autonomous Moving Robots (AMR)

    MATLAB unboxed: Autonomous Moving Robots (AMR)

    "Autonomous Mobile Robots" is an engaging episode from the "MATLAB Unboxed" podcast series, where host Marco Roggero, alongside robotics expert John, delves into the world of Autonomous Mobile Robots (AMRs). They explore the role of MATLAB and Simulink in advancing AMR technology, covering perception, navigation, and decision-making. This conversation offers insights into the challenges and innovations shaping the future of robotics, making it a must-listen for anyone interested in the intersection of technology and automation.

    • 18 min.
    MATLAB unboxed: Robotics and Autonomous Systems

    MATLAB unboxed: Robotics and Autonomous Systems

    Embark on an enlightening journey to explore the fascinating world of robotic and autonomous systems. The episode begins with a brief introduction, setting the stage for an in-depth discussion on the significance of focusing on these cutting-edge technologies and their transformative impact across various industries.

    • 14 min.
    MATLAB Unboxed: Signal Processing

    MATLAB Unboxed: Signal Processing

    We discuss the importance of signal processing and the challenges in developing robust algorithms. The episode highlights MATLAB's Signal Processing Toolbox and DSP System Toolbox, detailing their features and real-world applications. Listeners will learn how MATLAB facilitates the journey from concept to implementation in signal processing, making this episode a must-listen for enthusiasts and professionals alike. Dive in as we decode the signals that power our digital lives.

    Signal Processing
    toolbox: https://www.mathworks.com/products/signal.html

    DSP System toolbox: https://www.mathworks.com/products/dsp-system.html

    • 14 min.
    Unveiling the Power of MATLAB in AI: A Deep Dive into Machine Learning and Deep Learning

    Unveiling the Power of MATLAB in AI: A Deep Dive into Machine Learning and Deep Learning

    Explore the power of MATLAB in the world of AI with this focused episode on machine learning and deep learning. Discover how MATLAB streamlines the journey from data processing to model deployment, making AI development accessible for all skill levels. For further learning, check: https://www.mathworks.com/solutions/artificial-intelligence.html

    • 10 min.
    MATLAB Unboxed: Data Visualization

    MATLAB Unboxed: Data Visualization

    Data visualization with MATLAB: https://www.mathworks.com/discovery/data-visualization.html

    MATLAB OnRamp: https://matlabacademy.mathworks.com/details/matlab-onramp/gettingstarted

    • 8 min.

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