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Date: 17th July '18  |  Time: 5:00 PM - 6:00 PM
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CAN MACHINE LEARNING
GET US A SELF-DRIVING CAR IN 2025

#MachineLearning
  Date : 17th July 2018  |  Time : 5:00 PM to 6:00 PM
 

About The Webinar

With the technology evolving & advancing at a pace so high, we’re often left behind and miss out on information that can be useful not only for your personal, but also the professional growth. An Autonomous Car, or often known as a “Self-Driving Car” is a concept familiar to all. But the big question in most of our minds is, how will it really work?

And so, as usual, we’re here with all the information you need. In this webinar, you will learn more about Autonomous Cars, the technologies used, how Machine Learning & Artificial Intelligence are the “Formula X” and the way forward. Sign up and be part of an exciting 45 minute webinar followed by a Q&A session.
FACTS ABOUT SELF-DRIVING CARS
Talks about
self-driving cars have
started since ​the
1930’s
In 2015, a car
successfully drove itself
from San Francisco
​to New York City
Google currently has
​more than 50
self-driving cars
​on the road

 
Most accidents involving
driverless cars have
​been a human's fault
  
AGENDA
 
 
  • Self-driving cars - what are they?
  • Technologies used: machine learning & artificial intelligence
  • Deep-dive in the algorithms used
  • Case studies / research facts
  • Current update - what happens next, and when?
SPEAKER PROFILE
 
   
    Girish Kumar Bellenavar
   Computer Vision, Deep Learning,
   Artificial Intelligence and Robotics Engineer
 

Over 6 years of Industrial experience in various product development. Includes Avionics, Heavy machineary and automotive domian.

He was part of Mirage Aircraft upgradation program. Has developed various Avionics products like Cockpit display system, helmet mount display and tracking system, Electronics Flight bag, Unammed Aerial vehicles for ISR platform. At present actively working on development and building of advanced solutions for ADAS and Autonomus vehicles including self driving cars with the using latest camera based technologies with the help of Deep learning and Artificial Intelligence.

​He also is a mentor at Udacity. Has completed Udacity Self driving Car nanodegree certification and Aerial Robotics from University of Pennsylvania.