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Artificial Intelligence & Internet of Things Workshop 2024

This workshop focuses on the exciting intersection of Artificial Intelligence (AI) and the Internet of Things (IoT).

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REGISTER NOW!
Workshop Topics
  • Introduction to Machine Learning Fundamentals
  • TinyML – The Future of Machine Learning is Tiny and Bright
  • Introduction to Teachable Machine
  • Anomaly Detection
  • Edge Computing
  • Recommender Systems
  • Responsible AI
  • Fuzzy Logic
  • The Fundamentals of Data Science
  • OpenSCAD

About the workshop

It will explore two key technologies that are reshaping our interaction with devices at the edge:

  1. Embedded Machine Learning (TinyML): 
    This emerging field enables developers to train and deploy machine learning models on resource-constrained devices with limited processing power and memory. TinyML unlocks a wide range of possibilities for intelligent IoT applications.
  2. Fuzzy Logic: 
    A powerful technique for handling uncertainty and imprecise data, fuzzy logic complements machine learning by allowing us to reason with human-like vagueness. This makes it particularly suitable for real-world IoT scenarios where data may be noisy or incomplete.

Through a combination of presentations, discussions, and hands-on activities, participants will develop a foundational understanding of:

  • The core principles of AI, Machine Learning, and Fuzzy Logic
  • The capabilities and limitations of TinyML for edge computing
  • How Fuzzy Logic can improve the robustness and clarity of AI models in IoT applications

By the end of the workshop, participants will be equipped with the knowledge and enthusiasm to explore how AI can transform their IoT projects.

About the workshop

It will explore two key technologies that are reshaping our interaction with devices at the edge:

  1. Embedded Machine Learning (TinyML): 
    This emerging field enables developers to train and deploy machine learning models on resource-constrained devices with limited processing power and memory. TinyML unlocks a wide range of possibilities for intelligent IoT applications.
  2. Fuzzy Logic: 
    A powerful technique for handling uncertainty and imprecise data, fuzzy logic complements machine learning by allowing us to reason with human-like vagueness. This makes it particularly suitable for real-world IoT scenarios where data may be noisy or incomplete.

Through a combination of presentations, discussions, and hands-on activities, participants will develop a foundational understanding of:

  • The core principles of AI, Machine Learning, and Fuzzy Logic
  • The capabilities and limitations of TinyML for edge computing
  • How Fuzzy Logic can improve the robustness and clarity of AI models in IoT applications

By the end of the workshop, participants will be equipped with the knowledge and enthusiasm to explore how AI can transform their IoT projects.

Workshop Topics
  • Introduction to Machine Learning Fundamentals
  • TinyML – The Future of Machine Learning is Tiny and Bright
  • Introduction to Teachable Machine
  • Anomaly Detection
  • Edge Computing
  • Recommender Systems
  • Responsible AI
  • Fuzzy Logic
  • The Fundamentals of Data Science
  • OpenSCAD

Brief about
Bowen University

Bowen University is a foremost private and Christian University on the continent of Africa established by the Nigerian Baptist Convention in 2001. Bowen University, however, commenced academic activities on 4th November 2002. It is one of the oldest private institutions of higher learning in Nigeria. The University is in Osun State, southwestern Nigeria.

The University is blessed and maintains a serene and peaceful ambience – the peaceful atmosphere, many attested to as reason for having bats of various species in their numbers on the campus.

Bowen University operates a Modified Collegiate System with Seven (7) fully operational colleges viz College of Postgraduate Studies, College of Computing and Communication Studies, College of Health Sciences, College of Liberal Studies, College of Law, College of Agriculture, Engineering and Sciences and College of Social and Management Sciences. The University has a staff strength of Eight Hundred and Twenty-Six (826) and student population of Four Thousand, Seven Hundred and Fifty-One (5,000+) as of May 2024. Her products spreads across all regions of the world doing excellently well in their chosen areas of calling.

To navigate your way on Bowen University campus, use the virtual tour link: 

TAKE A VIRTUAL TOUR

It is worth mentioning that the University houses the world’s first and only deployed Super Dual Auroral Radar Network (Super DARN) around the equator. The system is named Virginia Tech-Nigerian Bowen Equatorial Aeronomy Radar (VT-NigerBEAR). The radar network is the 36th of such in existence around the world; it is a network of high frequency radars that investigates the earth’s upper atmosphere, providing insight into variations in atmospheric conditions and weather hazards.

Having enjoyed great and productive leadership since inception, the University’s current Vice-Chancellor, Prof. Jonathan BABALOLA, is ably supported by his management team, Provosts of Colleges, Directors, and Heads of Units.

Get registered today!

Early bird registration on or before 1st september 2024.

Expected participants include undergraduate and postgraduate students in relevant fields of AI & IoT study, as well as post-doctoral researchers, conservation scientists, lecturers, naturalists, health care researchers, data scientists, mechanical and acoustic engineers, communicators, photojournalists, etc.

REGISTER NOW
Important Dates
  • Call for application: 09 – 28 August, 2024 
  • Workshop Starts: 15 September, 2024
  • Workshop Ends: 21 September, 2024
venue

Timothy Olagbemiro Library,
Bowen University, Iwo, Osun State, Nigeria.

DOWNLOAD WORKSHOP SCHEDULE

Workshop Speakers

Dr. Solomon Gizaw 
(Addis Ababa University, Ethiopia)

Activity Coordinator

    Marco Zennaro 
    (ICTP, Trieste, Italy)

    Professor

      Clement Onime
      (ICTP, Trieste, Italy)

      Professor

        Susana Munoz Hernandez 
        (Universidad Politecnica de Madrid)

        Professor

          Thomas Amberg
          (FHNW, Brugg-Windisch, Switzerland)

          Professor

            Dr. Louise Bezuidenhout
            (University of Leiden, Leiden, Netherlands)

              Workshop Organizers

              Dr. Solomon Gizaw 
              (Addis Ababa University, Ethiopia)

              Activity Coordinator

                Clement Onime
                (ICTP, Trieste, Italy)

                Professor

                  Thomas Amberg
                  (FHNW, Zurich, Switzerland)

                  Professor

                    Segun Adebayo 
                    (Bowen University, Iwo)

                    Assistant Professor

                      Halleluyah Aworinde
                      (Bowen University, Iwo)

                      Assistant Professor