公开(公告)号：US11328206B2

公开(公告)日：2022-05-10

申请号：US15625578

申请日：2017-06-16

Applicant: SRI International

Inventor： Sek M. Chai ,  David C. Zhang ,  Mohamed R. Amer ,  Timothy J. Shields ,  Aswin Nadamuni Raghavan ,  Bhaskar Ramamurthy

IPC: G06N3/04 ,  G06N3/063 ,  G06N3/08 ,  G06F9/46 ,  G06F9/50

Abstract: Operations of computing devices are managed using one or more deep neural networks (DNNs), which may receive, as DNN inputs, data from sensors, instructions executed by processors, and/or outputs of other DNNs. One or more DNNs, which may be generative, can be applied to the DNN inputs to generate DNN outputs based on relationships between DNN inputs. The DNNs may include DNN parameters learned using one or more computing workloads. The DNN outputs may be, for example, control signals for managing operations of computing devices, predictions for use in generating control signals, warnings indicating an acceptable state is predicted, and/or inputs to one or more neural networks. The signals enhance performance, efficiency, and/or security of one or more of the computing devices. DNNs can be dynamically trained to personalize operations by updating DNN weights or other parameters.

公开(公告)号：US20170091590A1

公开(公告)日：2017-03-30

申请号：US15285679

申请日：2016-10-05

Applicant: SRI International

Inventor： Harpreet Singh SAWHNEY ,  Jayakrishan ELEDATH ,  Saad ALI ,  Bogdan C. MATEI ,  Steven S. Weiner ,  Xutao Lv ,  Timothy J. Shields

IPC: G06K9/62 ,  G06K9/00 ,  G06K9/66

CPC classification number: G06K9/6262 ,  G06K9/00979 ,  G06K9/6218 ,  G06K9/6253 ,  G06K9/66

Abstract: A computer vision service includes technologies to, among other things, analyze computer vision or learning tasks requested by computer applications, select computer vision or learning algorithms to execute the requested tasks based on one or more performance capabilities of the computer vision or learning algorithms, perform the computer vision or learning tasks for the computer applications using the selected algorithms, and expose the results of performing the computer vision or learning tasks for use by the computer applications.

公开(公告)号：US20190034814A1

公开(公告)日：2019-01-31

申请号：US16085859

申请日：2017-03-17

Applicant: SRI INTERNATIONAL

Inventor： Mohamed R. AMER ,  Timothy J. Shields ,  Amir TAMRAKAR ,  Max EHLRICH ,  Timur ALMAEV

IPC: G06N5/04 ,  G06K9/62 ,  G06N99/00

Abstract: Technologies for analyzing multi-task multimodal data to detect multi-task multimodal events using a deep multi-task representation learning, are disclosed. A combined model with both generative and discriminative aspects is used to share information during both generative and discriminative processes. The technologies can be used to classify data and also to generate data from classification events. The data can then be used to morph data into a desired classification event.

公开(公告)号：US20170364792A1

公开(公告)日：2017-12-21

申请号：US15625578

申请日：2017-06-16

Applicant: SRI International

Inventor： Sek M. Chai ,  David C. Zhang ,  Mohamed R. Amer ,  Timothy J. Shields ,  Aswin Nadamuni Raghavan ,  Bhaskar Ramamurthy

IPC: G06N3/04 ,  G06N3/08 ,  G06N3/063

CPC classification number: G06N3/0454 ,  G06F9/46 ,  G06F9/50 ,  G06N3/0445 ,  G06N3/063 ,  G06N3/08

Abstract: Operations of computing devices are managed using one or more deep neural networks (DNNs), which may receive, as DNN inputs, data from sensors, instructions executed by processors, and/or outputs of other DNNs. One or more DNNs, which may be generative, can be applied to the DNN inputs to generate DNN outputs based on relationships between DNN inputs. The DNNs may include DNN parameters learned using one or more computing workloads. The DNN outputs may be, for example, control signals for managing operations of computing devices, predictions for use in generating control signals, warnings indicating an acceptable state is predicted, and/or inputs to one or more neural networks. The signals enhance performance, efficiency, and/or security of one or more of the computing devices. DNNs can be dynamically trained to personalize operations by updating DNN weights or other parameters.

公开(公告)号：US12073305B2

公开(公告)日：2024-08-27

申请号：US16085859

申请日：2017-03-17

Applicant: SRI International

Inventor： Mohamed R. Amer ,  Timothy J. Shields ,  Amir Tamrakar ,  Max Ehrlich ,  Timur Almaev

IPC: G06N3/045 ,  G06F18/2132 ,  G06F18/24 ,  G06N5/04 ,  G06N20/00

CPC classification number: G06N3/045 ,  G06F18/2132 ,  G06F18/24 ,  G06N5/04 ,  G06N20/00

Abstract: Technologies for analyzing multi-task multimodal data to detect multi-task multimodal events using a deep multi-task representation learning, are disclosed. A combined model with both generative and discriminative aspects is used to share information during both generative and discriminative processes. The technologies can be used to classify data and also to generate data from classification events. The data can then be used to morph data into a desired classification event.

公开(公告)号：US11676024B2

公开(公告)日：2023-06-13

申请号：US15999769

申请日：2017-02-24

Applicant: SRI International

Inventor： Sek Meng Chai ,  David Zhang ,  Mohamed Amer ,  Timothy J. Shields ,  Aswin Nadamuni Raghavan

IPC: G06N3/04 ,  G06N3/084 ,  G06V10/52 ,  G06F18/00 ,  G06F18/21 ,  G06F18/24 ,  G06F18/2413 ,  G06N3/045 ,  G06V10/764 ,  G06V10/82 ,  G06N3/082 ,  G06N3/086 ,  G06N3/044

CPC classification number: G06N3/084 ,  G06F18/00 ,  G06F18/21 ,  G06F18/24 ,  G06F18/2413 ,  G06N3/045 ,  G06V10/52 ,  G06V10/764 ,  G06V10/82 ,  G06N3/044 ,  G06N3/082 ,  G06N3/086

Abstract: Artificial neural network systems involve the receipt by a computing device of input data that defines a pattern to be recognized (such as faces, handwriting, and voices). The computing device may then decompose the input data into a first subband and a second subband, wherein the first and second subbands include different characterizing features of the pattern in the input data. The first and second subbands may then be fed into first and second neural networks being trained to recognize the pattern. Reductions in power expenditure, memory usage, and time taken, for example, allow resource-limited computing devices to perform functions they otherwise could not.

公开(公告)号：US09875445B2

公开(公告)日：2018-01-23

申请号：US14631124

申请日：2015-02-25

Applicant: SRI International

Inventor： Mohamed R. Amer ,  Behjat Siddiquie ,  Ajay Divakaran ,  Colleen Richey ,  Saad Khan ,  Hapreet S. Sawhney ,  Timothy J. Shields

IPC: G06N99/00 ,  G06N7/00 ,  G06K9/62

CPC classification number: G06N99/005 ,  G06K9/6296 ,  G06N7/005

Abstract: Technologies for analyzing temporal components of multimodal data to detect short-term multimodal events, determine relationships between short-term multimodal events, and recognize long-term multimodal events, using a deep learning architecture, are disclosed.

公开(公告)号：US09466013B2

公开(公告)日：2016-10-11

申请号：US14849423

申请日：2015-09-09

Applicant: SRI International

Inventor： Harpreet Singh Sawhney ,  Jayakrishnan Eledath ,  Saad Ali ,  Bogdan C. Matei ,  Steven S. Weiner ,  Xutao Lv ,  Timothy J. Shields

IPC: G06K9/66 ,  G06K9/62 ,  G06K9/00

CPC classification number: G06K9/6262 ,  G06K9/00979 ,  G06K9/6218 ,  G06K9/6253 ,  G06K9/66

Abstract: A computer vision service includes technologies to, among other things, analyze computer vision or learning tasks requested by computer applications, select computer vision or learning algorithms to execute the requested tasks based on one or more performance capabilities of the computer vision or learning algorithms, perform the computer vision or learning tasks for the computer applications using the selected algorithms, and expose the results of performing the computer vision or learning tasks for use by the computer applications.