Abstract: A weighted sum is a key computation for many neural networks and other machine learning algorithms. Integrated circuit designs that perform a weighted sum are presented. Weights are stored as threshold voltages in an array of flash transistors. By putting the circuits into a well-defined voltage state, the transistors that hold one set of weights will pass current equal to the desired sum. The current flowing through a given transistor is unaffected by operation of remaining transistors in the circuit.

Abstract: A matched filter is provided for signal processing applications such as GNSS and RADAR. The filter includes a plurality of correlator cells configured to receive a digital signal and are arranged so that values of the digital signal can be shifted amongst the plurality of correlator cells. Each correlator cell includes a correlator circuit, a data source and a current source. The correlator circuit is configured to receive a value from the digital signal and operates to correlate the value with a value of the known pattern stored in the data store. The current source is interfaced with the correlator circuit and selectively sources current based on the correlation operation performed by the correlator circuit; and an output circuit is coupled to each of the plurality of correlator cell and operates to generate an output which is correlated to current that is being source collectively by the current sources.

Abstract: A true random number generator comprises a ring oscillator which is triggered to start oscillating in a first mode of oscillation at an oscillation start time. The first mode of oscillation will eventually collapse to a second mode of oscillation dependent on thermal noise. A collapse time from the oscillation start time to the time at which the oscillator collapses to the second mode is measured, and this can be used to determine a random number. The TRNG can be synthesized entirely using standard digital techniques and is able to provide high randomness, good throughput and energy efficiency.

Abstract: A weighted sum is a key computation for many neural networks and other machine learning algorithms. Integrated circuit designs that perform a weighted sum are presented. Weights are stored as threshold voltages in an array of flash transistors. By putting the circuits into a well-defined voltage state, the transistors that hold one set of weights will pass current equal to the desired sum. The current flowing through a given transistor is unaffected by operation of remaining transistors in the circuit.

Abstract: Signal value storage circuitry 2 is provided which includes a first transistor stack, a second transistor stack and a third transistor stack. The signal value storage circuitry is controlled by a single clock signal. Keeper transistors and isolation transistors serve to permit static operation of the signal value storage circuitry (i.e. the clock signal may be stopped without losing state) and to prevent contention within the circuitry.

Abstract: A true random number generator comprises a ring oscillator which is triggered to start oscillating in a first mode of oscillation at an oscillation start time. The first mode of oscillation will eventually collapse to a second mode of oscillation dependent on thermal noise. A collapse time from the oscillation start time to the time at which the oscillator collapses to the second mode is measured, and this can be used to determine a random number. The TRNG can be synthesized entirely using standard digital techniques and is able to provide high randomness, good throughput and energy efficiency.