Self-Sensing Processor Systems: Robust sensors and actuator systems

High-performance systems that form the compute backbone of the IoT are increasingly challenged by the stringent compute requirements of emerging cloud-native applications. This is particularly evident for modern machine-learning and artificial intelligence applications. As an example, consider the neural network (NN) training problem. NNs for natural language processing applications already require training a trillion parameters (shown in Figure 1), thereby imposing a 100× growth in compute requirements, all within a year [1]!