公开(公告)号：US11836572B2

公开(公告)日：2023-12-05

申请号：US17031501

申请日：2020-09-24

Applicant: QUALCOMM Incorporated

Inventor： Roberto Bondesan ,  Max Welling

IPC: G06N10/00 ,  G06N3/04 ,  G06F17/16 ,  G06N5/04 ,  G06N3/063 ,  G06N7/01

CPC classification number: G06N10/00 ,  G06F17/16 ,  G06N3/04 ,  G06N3/063 ,  G06N5/04 ,  G06N7/01

Abstract: Certain aspects of the present disclosure provide a method for performing quantum convolution, including: receiving input data at a neural network model, wherein the neural network model comprises at least one quantum convolutional layer; performing quantum convolution on the input data using the at least one quantum convolutional layer; generating an output wave function based on the quantum convolution using the at least one quantum convolution layer; generating a marginal probability distribution based on the output wave function; and generating an inference based on the marginal probability distribution.

公开(公告)号：US12200660B2

公开(公告)日：2025-01-14

申请号：US17461927

申请日：2021-08-30

Applicant: QUALCOMM Incorporated

Inventor： Arash Behboodi ,  Farhad Ghazvinian Zanjani ,  Joseph Binamira Soriaga ,  Lorenzo Ferrari ,  Rana Ali Amjad ,  Max Welling ,  Taesang Yoo

IPC: H04W4/00 ,  G06N20/00 ,  H04B7/06 ,  H04B7/08 ,  H04W64/00

Abstract: A method of training an artificial neural network (ANN), receives, from a base station, signal information for a radio frequency signal between the base station and a user equipment (UE). The artificial neural network is trained to determine a location of the UE and to map the environment based on the received signal information and in the absence of labeled data.

公开(公告)号：US11790241B2

公开(公告)日：2023-10-17

申请号：US17016130

申请日：2020-09-09

Applicant: QUALCOMM Incorporated

Inventor： Matthias Reisser ,  Saurabh Kedar Pitre ,  Xiaochun Zhu ,  Edward Harrison Teague ,  Zhongze Wang ,  Max Welling

IPC: G06F17/16 ,  G06N3/10 ,  G06N3/047

CPC classification number: G06N3/10 ,  G06F17/16 ,  G06N3/047

Abstract: In one embodiment, a method of simulating an operation of an artificial neural network on a binary neural network processor includes receiving a binary input vector for a layer including a probabilistic binary weight matrix and performing vector-matrix multiplication of the input vector with the probabilistic binary weight matrix, wherein the multiplication results are modified by simulated binary-neural-processing hardware noise, to generate a binary output vector, where the simulation is performed in the forward pass of a training algorithm for a neural network model for the binary-neural-processing hardware.

公开(公告)号：US11616666B2

公开(公告)日：2023-03-28

申请号：US17349744

申请日：2021-06-16

Applicant: QUALCOMM Incorporated

Inventor： Rana Ali Amjad ,  Kumar Pratik ,  Max Welling ,  Arash Behboodi ,  Joseph Binamira Soriaga

IPC: H04L25/02 ,  H04L25/03

Abstract: A method performed by a communication device includes generating an initial channel estimate of a channel for a current time step with a Kalman filter based on a first signal received at the communication device. The method also includes inferring, with a neural network, a residual of the initial channel estimate of the current time step. The method further includes updating the initial channel estimate of the current time step based on the residual.

公开(公告)号：US11562208B2

公开(公告)日：2023-01-24

申请号：US16413535

申请日：2019-05-15

Applicant: QUALCOMM Incorporated

Inventor： Christos Louizos ,  Matthias Reisser ,  Tijmen Pieter Frederik Blankevoort ,  Max Welling

IPC: G06N3/04 ,  G06N3/08 ,  G06F17/18

Abstract: A method for quantizing a neural network includes modeling noise of parameters of the neural network. The method also includes assigning grid values to each realization of the parameters according to a concrete distribution that depends on a local fixed-point quantization grid and the modeled noise and. The method further includes computing a fixed-point value representing parameters of a hard fixed-point quantized neural network.

公开(公告)号：US20210343343A1

公开(公告)日：2021-11-04

申请号：US16864005

申请日：2020-04-30

Applicant: QUALCOMM Incorporated

Inventor： Edward Harrison Teague ,  Zhongze Wang ,  Max Welling

IPC: G11C16/10 ,  G11C16/08 ,  G11C16/24 ,  G11C16/26 ,  G11C7/16 ,  G11C7/10

Abstract: In one embodiment, an electronic device includes a compute-in-memory (CIM) array that includes a plurality of columns. Each column includes a plurality of CIM cells connected to a corresponding read bitline, a plurality of offset cells configured to provide a programmable offset value for the column, and an analog-to-digital converter (ADC) having the corresponding bitline as a first input and configured to receive the programmable offset value. Each CIM cell is configured to store a corresponding weight.