In this event as part of series of regularly planned events, we covered the state-of-the art advances in AI technology. We focused on AI Accelerators, Self-Driving and Face Processing. We featured thought leaders from Computing, Autonomous systems and Computer Vision.
We would like to explore the state-of-the art in compilers for machine learning in this series of workshops. In our Fall 2018 workshop, we featured the speakers from teams working on Google Tensorflow XLA, Intel nGraph & PlaidML, TVM and Xilinx ML Suite. In this Spring 2019 workshop, we featured speakers who are working in areas such as Facebook Glow, Cadence's XNNC (Tensilica Xtensa Neural Net Compiler), and LeFLow - an open-source tool-flow that maps numerical computation models written in Tensorflow to synthesizable hardware. The talks are focused on explaining the design choices as well as hands-on overview of how to get started on these compilers to contribute.