Abstract: An integrated circuit can include artificial neural network circuitry, and training circuitry configured to train the artificial neural network.

Abstract: An artificial neuron includes an aggregator that combines a plurality of input signals. The value state of each of the input signals is encoded in a phase thereof. The artificial neuron also includes an actuator in communication with the aggregator. The actuator is configured to provide an output signal having a value state encoded in a phase thereof. The value state of the output signal may be selected on the basis of the value states of the input signals. The value state of each of the input signals and/or the output signal may be a logical state.

Abstract: An aircraft detection system which detects and tracks aircraft using: arrays of seismic and acoustic sensors, a set of junction circuits, a set of subarray circuits, several slave computers, and a master computer. Each junction circuit relays detected signals from several adjacent sensors to a subarray circuit and command signals to each of the sensors to adjust the gain of their output signals. Each subarray circuit receives and unites the outputs of several adjacent junction circuits into a subarray which has a particular geographical location in the array of sensors. Each slave computer forwards detected signals from single subarray circuit to the master computer, and relays command signals back to each individual sensor. Each subarray is able to track the seismic or acoustic signature of an aircraft as it travels across the regular distribution of sensors. Each subarray is thereby able to define an azimuth to the target aircraft.