Qualcomm Incorporated

Intel Corporation

Xin Wang

Manu Rastogi

Young Cheul Yoon

Venkat Rangan

William Howard Constable

Somdeb Majumdar

Adnan M Agbaria

Lior Storfer

Bardia Fallah Behabadi

Marcel Nassar

Tristan Webb

Ron Banner

Evren Tumer

A method of processing asynchronous event-driven input samples of a continuous time signal, includes calculating a convolutional output directly from the event-driven input samples. The convolutional output is based on an asynchronous pulse modulated (APM) encoding pulse. The method further includes interpolating output between events.

Event-driven temporal convolution for asynchronous pulse-modulated sampled signals

Logic may quantize a primary neural network. Logic may generate, by a secondary neural network logic circuitry for a primary neural network logic circuitry, quantization parameters. The primary neural network logic circuitry may comprise a primary neural network with multiple layers trainable with an objective function. Each of the multiple layers of the primary neural network may comprise multiple tensors. The secondary neural network logic circuitry may comprise one or more secondary neural networks trainable with the objective function to output the quantization parameters to the tensors.

Methods and arrangements to quantize a neural network with machine learning

A method of processing asynchronous event-driven input samples of a continuous time signal includes calculating a short-time Fourier transform (STFT) output based on the event-driven input samples. The STFT output may be calculated by expressing an encoding pulse and an STFT window function as a sum of complex weighted causal complex exponentials. The method further includes interpolating output between events.

Event-driven spatio-temporal short-time fourier transform processing for asynchronous pulse-modulated sampled signals

A method of event-based down sampling includes receiving multiple sensor events corresponding to addresses and time stamps. The method further includes spatially down sampling the addresses based on the time stamps and the addresses. The method may also include updating a pixel value for each of the multiple sensor events based on the down sampling.

Event-based down sampling

A method for computing a spatial Fourier transform for an event-based system includes receiving an asynchronous event output stream including one or more events from a sensor. The method further includes computing a discrete Fourier transform (DFT) matrix based on dimensions of the sensor. The method also includes computing an output based on the DFT matrix and applying the output to an event processor.

Event-based spatial transformation

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Xin Wang