Chronocam is a Paris-based developer of biologically-inspired computer vision sensors and systems for autonomous navigation robotics, AR/VR, IoT applications and much more. Quite simply, its technology, which introduces a new computer vision paradigm based on how the human eye and brain work, significantly improves the performance and power efficiency of how computer vision can be implemented in a wide range of products and applications that improve the convenience and safety of our daily lives. This new standard in computer vision addresses the limitations of conventional machine vision by enabling real time detection of dynamic scene context and by acquiring only necessary data. This is what is known as an event-based approach to image acquisition. Chronocam brings together event-based sensors and processing applications with machine learning to create an all-in-one event-based vision solution. The result is unprecedented speed, dynamic range, sensor level video compression and power efficiency. Chronocam was formed in early 2014 by an international quartet of entrepreneurs, investors and pioneering neuromorphic computing and VLSI design researchers. Chronocam recently entered into a strategic relationship with Nissan-Renault Group which will focus on bringing Chronocam's approach to RenaultÍs Advanced Driver Assistance Systems (ADAS) and autonomous driving developments The company closed a $15 million Series B funding round in October 2016 with investors that include 360 Capital, CEA Investissement, iBionext, Intel Capital, Renault-Nissan Group, and Robert Bosch Venture Capital. More information can be found at www.chronocam.com.