In-Sensor Intelligence
ABSTRACT
echosonic is pioneering real-time, cost-effective time-series signal edge inference with an innovative, mechanically-driven ML approach integrated directly into MEMS sensors. echosonic’s proprietary technology allows for complex signal processing without the need for digital or analog processors by taking advantage of the dynamic effects of transducers. This breakthrough introduces a new era of time-series signal computing that relies solely on the MEMS sensor to dramatically reduce the cost and complexity of edge computing inference solutions.
BIOGRAPHY
Marie-Eve is co-founder and Product Lead at echosonic. She launched the company with the vision of reducing the environmental impact of cloud computing by revolutionizing the edge computing market. echosonic's innovation focuses on making sound, voice, and other time-series signal processing at the edge appealing, accessible and scalable for a wide range of businesses, all while minimizing footprint, deployment cost and maintenance. With a master's degree in astrophysics and expertise in computer vision and signal analysis, Marie-Eve, along with the echosonic team, is fully committed to leveraging her technical, business and leadership expertise to make this vision a reality.