Architecture, Embedded Systems and Electronics, Robotics

Available Speakers on this Topic

Rizwan Ahmed – Nagpur, India

  • IoT in Healthcare
    This talk will cover various technical aspects related to Artificial Intelligence for scaling Cyber Security. This talk will cover following specific...

Erik Brunvand – UT, United States

Albert M. K. Cheng – Houston, TX, United States

Sebastian Fischmeister – Waterloo, Ontario, Canada

  • A Safety-critical Embedded Systems Primer

    Embedded systems integrate physical and logical processes as they execute algorithms and interact with the environment through actuators and sensors.  Embedded systems are omnipresent,...

  • From Automated to Autonomous Driving
    Fully autonomous driving for vehicles on public roads is technology that can fundamentally transform our society.  The numerous benefits are what inspires industry, researchers, the public,...

Swaroop Ghosh – State College, PA, United States

Shaoshan Liu – Fremont, CA, United States

Jon G Peddie – Tiburon, CA, United States

  • Exploiting Machine Learning in Gaming
    If you want to exploit ML, this session will give ideas on how to use the next wave of technology.
    We will discuss ideas for enhancement and differentiation of gaming...
  • Learning Deeply
    Can an AI make a movie?
    The first step was training it on trailers of 100 horror movies. Each trailer was segmented into...
  • Mixed (up?) reality
    The realities of virtual reality. Who is (was) using it, who will use it, and why.

    This was followed by a panel discussion.
  • Visual Computing
    We want/need very high-resolution, fast, color accurate cameras in stationary locations (transportation and shopping centers, sports arenas, etc.) and mobile (on first-responders and law...

Yan Solihin – Orlando, FL, United States

Bidyadhar Subudhi – Ponda Goa, India

Shriram K Vasudevan – Coimbatore, India

Juan Pablo Wachs – West Lafayette, IN, United States

Mohamed Zahran – New York, NY, United States

  • AI Support for Architecture
    There are a handful of chips to support machine learning (ML) training and many startups that design chips for inference. All of this is the hardware support for AI. In this talk, we will...