公开(公告)号：US20250117633A1

公开(公告)日：2025-04-10

申请号：US18987302

申请日：2024-12-19

Applicant: Intel Corporation

Inventor： Anthony Daniel Rhodes ,  Ramesh Radhakrishna Manuvinakurike ,  Sovan Biswas ,  Giuseppe Raffa ,  Lama Nachman

IPC: G06N3/0475

Abstract: Predictive uncertainty of a generative machine learning model may be estimated. The generative machine learning model may be a large language model or large multi-modal model. A datum may be input into the generative machine learning model. The generative machine learning model may generate outputs from the datum. Latent embeddings for the outputs may be extracted from the generative machine learning model. A covariance matrix with respect to the latent embeddings may be computed. The covariance matrix may be a two-dimensional matrix, such as a square matrix. The predictive uncertainty of the generative machine learning model may be estimated using the covariance matrix. For instance, the matrix entropy of the covariance matrix may be determined. The matrix entropy may be an approximated dimension of a latent semantic manifold spanned by the outputs of the generative machine learning model and may indicate the predictive uncertainty of the generative machine learning model.

公开(公告)号：US20210209473A1

公开(公告)日：2021-07-08

申请号：US17212747

申请日：2021-03-25

Applicant: Intel Corporation

Inventor： Julio Cesar Zamora Esquivel ,  Jesus Adan Cruz Vargas ,  Nadine L. Dabby ,  Anthony Rhodes ,  Omesh Tickoo ,  Narayan Sundararajan ,  Lama Nachman

IPC: G06N3/08 ,  G06N3/04

Abstract: The present disclosure provides a machine learning model where each activation node within the model has an adaptive activation function defined in terms of an input and a hyperparameter of the model. Accordingly, each activation node can have a separate of distinct activation function, based on the adaptive activation function where the hyperparameter for each activation node is trained during overall training of the model. Furthermore, the present disclosure provides that a set of adaptive activation functions can be provided for each activation node such that a spike train of activations can be generated.

公开(公告)号：US10353476B2

公开(公告)日：2019-07-16

申请号：US15397511

申请日：2017-01-03

Applicant: INTEL CORPORATION

Inventor： Giuseppe Raffa ,  Lama Nachman ,  Jinwon Lee

IPC: G06F15/18 ,  G06F3/01 ,  G06F1/16 ,  G06F3/0346 ,  G01C19/00 ,  G01P15/18

Abstract: Embodiments of the invention describe a system to efficiently execute gesture recognition algorithms. Embodiments of the invention describe a power efficient staged gesture recognition pipeline including multimodal interaction detection, context based optimized recognition, and context based optimized training and continuous learning. Embodiments of the invention further describe a system to accommodate many types of algorithms depending on the type of gesture that is needed in any particular situation. Examples of recognition algorithms include but are not limited to, HMM for complex dynamic gestures (e.g. write a number in the air), Decision Trees (DT) for static poses, peak detection for coarse shake/whack gestures or inertial methods (INS) for pitch/roll detection.

公开(公告)号：US20190090756A1

公开(公告)日：2019-03-28

申请号：US15717132

申请日：2017-09-27

Applicant: Intel Corporation

Inventor： Hong Lu ,  Lama Nachman

IPC: A61B5/0205 ,  A61B5/00

Abstract: Technologies for determining a heart rate of a user includes a wearable compute device having a heart rate sensor, a motion sensor, a heart rate determination manager, and a heart rate estimator. The wearable compute device generates sensor data indicative of a heart rate of the user and motion data indicative of a motion presently performed by the user. The wearable compute device determines whether to estimate the heart rate of the user based on the heart rate sensor data. The wearable compute device generates an estimated heart rate of the user using a heart rate estimation model and the motion data as an input to the heart rate estimation model in response to a determination to estimate the heart rate.

公开(公告)号：US20190054842A1

公开(公告)日：2019-02-21

申请号：US15999609

申请日：2018-08-22

Applicant: Intel Corporation

Inventor： Guiseppe Raffa ,  David Graumann ,  Sangita Sharma ,  Lama Nachman ,  Chieh-Yih Wan

IPC: B60N2/00 ,  B60R16/037 ,  G07C9/00

Abstract: Systems, devices, and techniques are provided for occupancy assessment of a vehicle. For one or more occupants of the vehicle, the occupancy assessment establishes position and/or identity for some or all of the occupant(s).

公开(公告)号：US20180285528A1

公开(公告)日：2018-10-04

申请号：US15474421

申请日：2017-03-30

Applicant: Intel Corporation

Inventor： Jennifer Anne Healey ,  Lama Nachman ,  Sangita Ravi Sharma ,  Giuseppe Raffa

IPC: G06F19/00 ,  H04L29/08 ,  H04L12/24 ,  G06N99/00

Abstract: Computer systems to allow users to record sensor readings of their environment and correlate these sensor readings with mental health events for later analysis to improve mental health diagnoses and treatments. A monitoring system comprising a computing device and a sensor set (comprising one or more sensors integral to or communicatively coupled to the computing device) may collect and store data collected about the user. This data may be stored in the computing device, or may be stored in a cloud based data-storage service. This data may be annotated or correlated (either manually, or automatically) with mental health events of the user and used for later analysis.

公开(公告)号：US20180213339A1

公开(公告)日：2018-07-26

申请号：US15413012

申请日：2017-01-23

Applicant: Intel Corporation

Inventor： Rahul Chandrakant Shah ,  Rita H. Wouhaybi ,  Jonathan J. Huang ,  Lama Nachman

IPC: H04R25/00

CPC classification number: H04R25/558 ,  H04R2225/39 ,  H04R2225/41 ,  H04R2225/55 ,  H04R2460/07

Abstract: In some embodiments, the disclosed subject matter involves a system and method relating to improving the user experience of hearing, using an adaptable or adjustable hearing aid that takes environmental conditions into account when changing modes. A local server or gateway or cloud service iteratively analyzes the audio environment and feedback from the user to automatically change settings and mode of the user's hearing aid to improve hearing. Information from other users in similar audio environments may be used to assist in mode changes. Information about the audio environment, hearing aid settings/mode and user feedback may be correlated for future use by the user, or crowdsourced for other users, the hearing aid manufacturer or audiologist. Other embodiments are described and claimed.

公开(公告)号：US20240028876A1

公开(公告)日：2024-01-25

申请号：US18477407

申请日：2023-09-28

Applicant: Intel Corporation

Inventor： Anthony Rhodes ,  Hong Lu ,  Lama Nachman

IPC: G06N3/047 ,  G06N3/084

CPC classification number: G06N3/047 ,  G06N3/084

Abstract: Example apparatus disclosed include interface circuitry, machine readable instruction, and programmable circuitry to at least one of instantiate or execute the machine readable instructions to access source input data and target input data, identify a domain shift prediction based on at least one of a feature decorrelation of the source input data or a feature decorrelation of the target input data, the domain shift prediction a source domain prediction or a target domain prediction, initiate gradient propagation of a domain loss to determine data features for the domain shift prediction, and rank input data features for the domain shift prediction.

公开(公告)号：US11793458B2

公开(公告)日：2023-10-24

申请号：US15084670

申请日：2016-03-30

Applicant: Intel Corporation

Inventor： Lama Nachman ,  Hong Lu ,  Jennifer Healey ,  Rahul C. Shah ,  Jonathan J Huang ,  Rita H Wouhaybi ,  Giuseppe Raffa

IPC: A63B22/02 ,  H04W4/029 ,  A61B5/00 ,  H04L67/306 ,  A61B5/11 ,  A61B5/22 ,  A61B5/117 ,  A63B71/06

CPC classification number: A61B5/4866 ,  A61B5/117 ,  A61B5/1118 ,  A61B5/222 ,  A63B22/02 ,  H04L67/306 ,  A63B71/0622 ,  A63B2071/0625 ,  A63B2071/0658 ,  A63B2220/12 ,  A63B2220/20 ,  A63B2220/40 ,  A63B2220/805 ,  A63B2220/806 ,  A63B2225/50 ,  A63B2230/75 ,  H04W4/029

Abstract: System and techniques for tracking caloric expenditure using sensor driven fingerprints are described herein. A set of outputs may be obtained from a plurality of sensors. A fingerprint may be generated using the set of outputs. The fingerprint may correspond to an activity observed by the plurality of sensors. The generated fingerprint may be compared to a set of fingerprints stored in a database. Each fingerprint of the set of fingerprints may correspond to a respective caloric expenditure. A caloric expenditure may be calculated for the activity based on the comparison. An exercise profile of a user may be updated using the caloric expenditure.

公开(公告)号：US11417236B2

公开(公告)日：2022-08-16

申请号：US16235448

申请日：2018-12-28

Applicant: Intel Corporation

Inventor： Carl S. Marshall ,  Giuseppe Raffa ,  Shi Meng ,  Lama Nachman ,  Ankur Agrawal ,  Selvakumar Panneer ,  Glen J. Anderson ,  Lenitra M. Durham

IPC: G09B19/06 ,  G09B7/02 ,  G06F16/907 ,  G06F16/9035 ,  G06F40/30 ,  G06V20/20

Abstract: Language education systems capable of integrating with a user's daily life and automatically producing educational prompts would be particularly advantageous. An example method includes determining a user's identity, detecting a language education subject, prompting the user with a language education message, receiving a user's response, and updating a user profile associated with the user based on the user's response. Methods may also include determining user state (including emotional, physical, social, etc.) and determining, based on the user state, whether to prompt the user with the language education prompt.