Session on:Â Neuromorphic Learning Allied Academies Conferences

Session on:Â Neuromorphic Learning

With the rise of Deep Learning concepts that rely on neurons based models, researchers have been developing hardware chips which can directly implement neural network architecture. These chips are programmed to mimic the brain at the hardware level. Usually, in an ordinary chip, the data is required to be transferred between the central processing unit and storage blocks, which results in time overheads and energy consumption. In a neuromorphic chip, data is both compiled and stored in the chip in an analogue manner and can generate synapses when required, saving time and energy.

2016 13th International Symposium on Distributed Autonomous Robotic Systems (DARS), London, England | 2013 World Haptics, Daejeon, South Korea, April 14-18 | 2012 Haptics Symposium Vancouver, Canada March 20-22 | Marketing Analytics and Data Science conference, April 11-13, San Francisco, CA, USA | Machine Intelligence Summit, April 12-13, Hong Kong, Deep Learning Summit, April 12-13, Hong Kong | Robotics 2018 | 4th International Conference and Expo on Automobile Engineering and design, May 16-17, 2018 Tokyo, Japan | Global summit on Nanotechnology and Nano robotics, November 8-9, 2017 New Orleans, Louisiana, USA | 5th International conference on Automation and Robotics, April 16-17, 2018 Las Vegas, USA | 5th International conference on Artificial Intelligence, April 16-17, 2018 Las Vegas, USA | 4th Global Summit and Expo on Multimedia & Artificial Intelligence, July 19-21, 2018 Rome, Italy | SAS Global Forum April 8-11, Denver, CO, USA | Marketing Analytics and Data Science conference, April 11-13, San Francisco, CA, USA | Machine Intelligence Summit, April 12-13, Hong Kong | Deep Learning Summit, April 12-13, Hong Kong | SAS Global Forum April 8-11, Denver, CO, USA | 2006 Haptics Symposium, Arlington, Virginia, USA, March 25-26 | 2005 World Haptics, Pisa, Italy, March 18-20 | 2004 Haptics Symposium, Chicago, Illinois US