Emerald develops novel neural network models that interpret radio signals to extract human pose, as well as a variety of physiological metrics - breathing, heart rate, sleep quality, sleep apnea etc. We believe that deep learning can revolutionize our ability to understand and interpret wireless signals, similar to the dramatic advances it has brought to computer vision and NLP. Such capabilities will not only transform healthcare, but would augment our intrinsic human senses of sight and sound, allowing us to use wireless signals to “see” through walls and occlusions.
Checkout our publications related to our research at Emerald.
At Emerald, we are building a full-fledged distributed system consisting of reliable, high performance IoT sensors that collect and process wireless signals, and a cloud infrastructure that securely receives and stores all the data. The cloud also performs advanced AI and machine learning techniques to build accurate and detailed health analytics. As a core team member, the ideal candidate would be multi-talented, excited to tackle hard problems, and deliver at startup pace while working with a small, tight knit group of skilled and experienced engineers.