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Deploying Intelligence in IoT Edge
Oct 24, 2019
09:00 AM - 06:00 PM
JUiNCUBATOR - City Campus, JUiNCUBATOR - City Campus, #319, 17th Cross, 25th Main, J P Nagar 6th Phase, Bangalore-78
Bangalore,India View map →

Event is cancelled by organizer. Please contact organizer for more details.

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Workshop - 1

Title: “Deep Learning Applications Design, Development and Deployment in IoT Edge”

Duration: Full day
Speaker: Dr. Jayakumar S, Rinanu Semiconductor, Bengaluru

Description:
Business owners for enterprises of all sizes are struggling to find the next generation of solutions that will unlock the hidden patterns and value from their data. Many organizations are turning to artificial intelligence (AI), machine learning (ML) and deep learning (DL) to provide higher levels of value and increased accuracy from a broader range of data than ever before. They are looking to AI to provide the basis for the next generation of transformative business applications that span hundreds of use cases across a variety of Industry verticals. AI, ML and DL have become hot topics with global IT clients. They are driven by the confluence of next-generation ML and DL algorithms, new accelerated hardware and more efficient tools to store, process and extract value from vast and diverse data sources that ensure high levels of AI accuracy. However, AI client initiatives are complex and often require specialized skills, ability, hardware and software that is often not readily available. AI enabled application deployment includes both the software and the hardware infrastructure that are deeply optimized for a complete production AI system.

Audience:
Engineering workforce in industry with good interest in moving with new development tool set and associated environments. Engineering college teaching staff with good interest in setting up “Cognitive Computing Lab” in their college after going through proposed workshop. Self-motivated students with an interest in learning DL based Application development and Deployment in IoT Edge.

Format:

SessionTopicsDuration
1Training Data set Creation, Model: Design and Train, Model: Deploy in Ubuntu 18.04 machineThree hours
2Model: Deploy in Jetson NanoOne hour thirty minutes
3Watson Machine Learning enabled design, training and deployment of AI Applications.
Sample application will be created on local PC or Smartphone to use DL application deployment in IBM Watson.
IBM Watson: Model, Train, Deploy and Use
Three hours

Speaker Bio:
Experienced CTO with over 29 years of experience in Digital Signal Processing Industry. Excellent reputation for resolving problems, improving customer satisfaction, and driving overall operational improvements. Known to the world as Dr. JK, a veteran in semiconductor electronics. B. Tech in Aerospace from Madras Institute of Technology, who did his master’s and his Doctorate in Systems and control engineering from IIT Bombay, plus Research Fellowship at KU Leuven University, Belgium. He began his career working in HAL, Cranes Info Tech, Mistral Solution before launching himself in the startup world by steering brands like Epigon Media Technologies (during July 2000), Rinanu Semiconductors (during 2015) and few more with less role in those startups. A truly respected brand across the globe in the field of Semiconductors, JK has been one of the core team heads in the design and development of products like the “Karaoke Machine”. Another major achievement of the past has been his contribution in the development of the solution “Satellite Radio Receiver”, which, we in the 1990’s and till 2010 recognized by the brand name “WorldSpace”. A person inspired by Dr. APJ Abdul Kalam, where APJ quotes “If you want to shine like a Sun, first burn like a Sun”. You will find Dr. J K working 24x7, ideating, prototyping and triggering solutions of quality to every challenge in the field of electronics and communication engineering. Presently, mostly with IBM Watson and its associated technology to innovate things in Deep learning for the Automotive industry and for Aerospace industry. Being part of many road shows along with team in IBM Openpower foundations and IEEE IoT BLP course. Working on innovating Mathematics for Neural network and associated computations.


Contact details:
E-mail: jk@rinanu.in
Company Name: Rinanu Semiconductor LLP

  1. ​JUiNCUBATOR - City Campus,
    JUiNCUBATOR - City Campus, #319, 17th Cross, 25th Main, J P Nagar 6th Phase, Bangalore-78,
    Bangalore, Karnataka, India
    View map →

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Organiser : Munir Mohammed

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