Priya Panda is an assistant professor in the electrical engineering department at Yale University, USA. She is the recipient of the 2019 Amazon Research Award. Her research interests include neuromorphic computing, deploying robust and energy efficient machine intelligence.
Title of the Talk: Towards Robust and Energy-Efficient Spike Based Machine Intelligence with Algorithm-Hardware Co-Design
Abstract: Today, deep learning has empowered the digital age enabling ‘intelligence’ in almost all technology that surrounds us. However, the cost associated in terms of computing resources and energy consumption is very high. In that regard, Spiking Neural Networks (SNNs), often referred to as the third generation of neural networks (or Neuromorphic Computing), have the potential of empowering low-power machine intelligence through sparse, event-driven computations. Note, however, today there does not exist good learning and inference techniques that can reap the potential benefits of SNNs. In this talk, I will present an overview of the recent efforts in SNNs, in both algorithm and hardware (time permitting), addressing the limitations and advantages of spike-driven learning and computations.