Course curriculum

  • 2

    Resources

    • Recording resourses

  • 4

    Day 1 afternoon / Session 2

    • Panel Discussion 2 - moderated Ted Selker - AI tools for creation and debugging

    • Corinne David - System Filters Out Harassment from Incoming Social Media Data

    • Yifang Liu - AutoML by-and-for Reinforcement Learning

    • Mengyue Liang - Using ML/AI to Accelerate Sales Engagement Innovation

    • Ken Urquhart - How to talk successfully with business executives about AI/ML

    • Leo Janze - 4 Essential Elements of a Winning AI Startup

  • 5

    Day 2 morning /Session 3

    • Janet George - Autonomous Enterprise

    • Humayun Irshad - Training Deep Facial Identity System with Synthetic Data

    • Magdalini Eirinaki - Recommendations in the age of social networking

    • Gajendra Singh - First DigAn™ AI processor chip: lowest power On-Device AI solution

  • 6

    Day 2 afternoon /Session 4

    • Arun Rajasekaran - Edge Empowerment

    • Steven Woo - Breaking Down the AI Memory Wall

    • Ellie Burns - Designing Low Power Edge ML Hardware Using High-Level Synthesis

    • David Wei - What deep learning can learn from the classical Volterra-Wiener theories of nonlinear systems

    • Chris Ciccolella - The state of ML in the study of cells and development of therapeutics

    • Sujata Tibrewala and Louie Tsai - Accelerate DL and ML workloads through Intel oneAPI on CPU or GPU

    • Ajay Baranwal - Five deep learning recipes for the mask-making industry

    • 12-1. Michael Ariaga - Improving Product Manufacturing and Design Efficiency with a Machine Learning Model without Extra Cost

    • 12-2. Herman Pandana - Improving Product Manufacturing and Design Efficiency with a Machine Learning Model without Extra Cost

    • Andra Keay - The State of Robotics