公开(公告)号：US20250103882A1

公开(公告)日：2025-03-27

申请号：US18583291

申请日：2024-02-21

Applicant: QUALCOMM Technologies, Inc.

Inventor： Dawid Jan KOPICZKO ,  Yuki Markus ASANO ,  Tijmen Pieter Frederik BLANKEVOORT

IPC: G06N3/08

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for efficiently adapting a machine learning model from a base task to a downstream task based on frozen matrices. An example method generally includes receiving an input for processing through a layer of a neural network. An output of the layer of the neural network is generated based on a first product, the first product being based on a first trainable scaling vector, a first frozen matrix, a second trainable scaling vector, a second frozen matrix, and the received input.

公开(公告)号：US20250103305A1

公开(公告)日：2025-03-27

申请号：US18538895

申请日：2023-12-13

Applicant: QUALCOMM Technologies, Inc.

Inventor： Natasha BUTT ,  Auke Joris WIGGERS ,  Corrado RAINONE ,  Blazej Jakub Manczak ,  Taco Sebastiaan Cohen

IPC: G06F8/35

Abstract: Systems and techniques are described for providing iterative policy-guided program synthesis. For example, a device may generate, based on a policy that receives input-output data of one or more tasks as input, a first set of programs, add the first set of programs and the input-output data to the training dataset to generate an updated training dataset, train the policy based on the first set of programs and the input-output data to generate an updated policy, identify, based on the updated policy, a second set of programs for second input-output data for a second set of tasks, add the second set of programs and second input-output data to the updated training dataset to generate a second updated training dataset; and train the updated policy based on the second set of programs and the second input-output data to generate a second updated policy.

公开(公告)号：US20250086522A1

公开(公告)日：2025-03-13

申请号：US18462914

申请日：2023-09-07

Applicant: Qualcomm Technologies, Inc.

Inventor： Lars VEEFKIND ,  Gabriele CESA

IPC: G06N20/20

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for improved machine learning. A set of training data is accessed, and a transformation group comprising a plurality of group elements is determined. A set of unconstrained weights for a layer of the machine learning model is generated based on the set of training data. A set of parameter values for a likelihood function for the layer is generated based on the set of training data. A set of constrained weights is generated, based at least in part on the likelihood function and the set of unconstrained weights, such that the set of constrained weights is equivariant with respect to at least a subset of the plurality of group elements.

公开(公告)号：US20250005336A1

公开(公告)日：2025-01-02

申请号：US18710150

申请日：2023-01-24

Applicant: QUALCOMM TECHNOLOGIES, INC.

Inventor： Phillip LIPPE ,  Yuki Markus ASANO ,  Sara MAGLIACANE ,  Taco Sebastiaan COHEN ,  Efstratios GAVVES

IPC: G06N3/0475 ,  G06V10/82

Abstract: A processor-implemented method for causal representation learning of temporal effects includes receiving, via an artificial neural network (ANN), temporal sequence data for high-dimensional observations. The ANN generates a latent representation based on latent variables for the temporal sequence data. The latent variables of the temporal sequence data are assigned to causal variables. The ANN determines a representation of causal factors for each dimension of the temporal sequence databased on the assignment.

公开(公告)号：US12142577B2

公开(公告)日：2024-11-12

申请号：US17191550

申请日：2021-03-03

Applicant: QUALCOMM Technologies Inc. ,  RF360 Europe GmbH

Inventor： Marc Huesgen ,  Philipp Michael Jaeger

IPC: H01L23/552 ,  H01L21/48 ,  H01L21/56 ,  H01L21/768 ,  H01L23/367 ,  H01L23/373 ,  H01L23/48 ,  H01L23/49

Abstract: A package that includes a substrate, an integrated device coupled to the substrate, an encapsulation layer located over the substrate, at least one encapsulation layer interconnect located in the encapsulation layer, and a metal layer located over the encapsulation layer. The substrate includes at least one dielectric layer and a plurality of interconnects. The encapsulation layer interconnect is coupled to the substrate. The metal layer is configured as an electromagnetic interference (EMI) shield for the package. The metal layer is located over a backside of the integrated device.

公开(公告)号：US20240233365A9

公开(公告)日：2024-07-11

申请号：US17769269

申请日：2020-11-14

Applicant: QUALCOMM Technologies, Inc.

Inventor： Mert KILICKAYA ,  Noureldien Mahmoud Elsayed HUSSEIN ,  Efstratios GAVVES ,  Arnold Wilhelmus Maria SMEULDERS

IPC: G06V20/52 ,  G06V10/75 ,  G06V10/764 ,  G06V10/778 ,  G06V10/80 ,  G06V10/82

CPC classification number: G06V20/52 ,  G06V10/751 ,  G06V10/764 ,  G06V10/778 ,  G06V10/806 ,  G06V10/82 ,  G06V40/10

Abstract: A method for classifying a human-object interaction includes identifying a human-object interaction in the input. Context features of the input are identified. Each identified context feature is compared with the identified human-object interaction. An importance of the identified context feature is determined for the identified human-object interaction. The context feature is fused with the identified human-object interaction when the importance is greater than a threshold.

公开(公告)号：US12010488B2

公开(公告)日：2024-06-11

申请号：US18126938

申请日：2023-03-27

Applicant: Qualcomm Technologies Inc.

Inventor： Robert J. Littrell

IPC: H04R29/00 ,  G10L25/18 ,  G10L25/21 ,  G10L25/78 ,  H04R17/02 ,  H04R19/04

CPC classification number: H04R29/004 ,  G10L25/18 ,  G10L25/21 ,  G10L25/78 ,  H04R17/02 ,  H04R19/04 ,  H04R2201/003

Abstract: An acoustic device is described and includes an acoustic sensor element configured to sense acoustic energy and produce an output signal and a threshold detector circuit including a switch having an input coupled to the output of the acoustic sensor element to receive the output signal, a control port that receives a control signal, and first and second output ports, a first channel including an analog-to-digital converter that operates at a first power level a second analog-to-digital converter that operates at a second higher power level, relative to the first power level and a threshold level detector that receives an output from the first analog-to-digital converter to produce the control signal having a first state that causes the switch feed the output signal from the acoustic sensor element to the second analog-to-digital converter when the first digitized output signal meets a threshold criteria.

公开(公告)号：US20240163551A1

公开(公告)日：2024-05-16

申请号：US18502061

申请日：2023-11-05

Applicant: Qualcomm Technologies, Inc.

Inventor： Avinash SHARMA ,  Emmanuel Luc Julien ONZON ,  Nicolas Joseph Paul ROBIDOUX ,  Ali MOSLEH

IPC: H04N23/60

CPC classification number: H04N23/64

Abstract: Image Signal Processing (ISP) optimization framework for computer vision applications is disclosed. The tuning of the ISP is performed automatically and presented as a nonlinear multi-objective optimization problem, followed by solving the problem using an evolutionary stochastic solver. An improved ISP of the embodiments of the invention includes at least features of search space reduction for reducing a number of ISP configurations, remapping the generated population to the reduced search space via mirroring, and global optimization function processing, which allow tuning all the blocks of the ISP at the same time instead of the prior art tuning of each ISP block separately. Also shown that an ISP tuned for image quality performs inferior compared with an ISP trained for a specific downstream image recognition task.

公开(公告)号：US20240157294A1

公开(公告)日：2024-05-16

申请号：US18508934

申请日：2023-11-14

Applicant: QUALCOMM Technologies, Inc.

Inventor： Eric Paul LEE ,  Jim Chih-Min CHENG

IPC: B01D53/86 ,  B01D39/20 ,  B01D46/00 ,  B01D53/85 ,  G01N33/00

CPC classification number: B01D53/86 ,  B01D39/20 ,  B01D46/0036 ,  B01D53/85 ,  G01N33/0013

Abstract: Commercially available gas filters are too large for mobile form-factor gas sensors. These sensors require filters with planar dimensions in the millimeter range and thicknesses of 1 mm or less and combined with long term and harsh conditions survivability. Furthermore, custom filters made small enough to be applied onto mobile form-factor gas sensors are generally not specific enough to support multi-gas detection. This invention describes a novel structured filter: (1) derived from principles of macroscale gas separation columns, (2) made compact enough to be utilized at millimeter scale and microscale levels, and (3) made compatible with mobile requirements and some methodology for usage in micro gas spectroscopy platforms.

公开(公告)号：US20240135712A1

公开(公告)日：2024-04-25

申请号：US17769269

申请日：2020-11-14

Applicant: QUALCOMM Technologies, Inc.

Inventor： Mert KILICKAYA ,  Noureldien Mahmoud Elsayed HUSSEIN ,  Efstratios GAVVES ,  Arnold Wilhelmus Maria SMEULDERS

IPC: G06V20/52 ,  G06V10/75 ,  G06V10/764 ,  G06V10/778 ,  G06V10/80 ,  G06V10/82

CPC classification number: G06V20/52 ,  G06V10/751 ,  G06V10/764 ,  G06V10/778 ,  G06V10/806 ,  G06V10/82 ,  G06V40/10

Abstract: A method for classifying a human-object interaction includes identifying a human-object interaction in the input. Context features of the input are identified. Each identified context feature is compared with the identified human-object interaction. An importance of the identified context feature is determined for the identified human-object interaction. The context feature is fused with the identified human-object interaction when the importance is greater than a threshold.