公开(公告)号：US20180299841A1

公开(公告)日：2018-10-18

申请号：US15489142

申请日：2017-04-17

Applicant: Intel Corporation

Inventor： Abhishek R. Appu ,  Altug Koker ,  Linda L. Hurd ,  Dukhwan Kim ,  Mike B. MacPherson ,  John C. Weast ,  Justin E. Gottschlich ,  Jingyi Jin ,  Barath Lakshmanan ,  Chandrasekaran Sakthivel ,  Michael S. Strickland ,  Joydeep Ray ,  Kamal Sinha ,  Prasoonkumar Surti ,  Balaji Vembu ,  Ping T. Tang ,  Anbang Yao ,  Tatiana Shpeisman ,  Xiaoming Chen ,  Vasanth Ranganathan ,  Sanjeev S. Jahagirdar

IPC: G05B13/02 ,  G05D1/00 ,  G06N3/04 ,  G06N3/02 ,  G06N5/04 ,  G06N99/00

Abstract: Methods and apparatus relating to autonomous vehicle neural network optimization techniques are described. In an embodiment, the difference between a first training dataset to be used for a neural network and a second training dataset to be used for the neural network is detected. The second training dataset is authenticated in response to the detection of the difference. The neural network is used to assist in an autonomous vehicle/driving. Other embodiments are also disclosed and claimed.

公开(公告)号：US20180293490A1

公开(公告)日：2018-10-11

申请号：US15482793

申请日：2017-04-09

Applicant: Intel Corporation

Inventor： Liwei Ma ,  Nadathur Rajagopalan Satish ,  Jeremy Bottleson ,  Farshad Akhbari ,  Eriko Nurvitadhi ,  Chandrasekaran Sakthivel ,  Barath Lakshmanan ,  Jingyi Jin ,  Justin E. Gottschlich ,  Michael Strickland

IPC: G06N3/08 ,  G06F9/50

CPC classification number: G06N3/0445 ,  G06F9/5038 ,  G06F2209/5021 ,  G06N3/0454 ,  G06N3/063 ,  G06N3/084

Abstract: An apparatus to facilitate workload scheduling is disclosed. The apparatus includes one or more clients, one or more processing units to processes workloads received from the one or more clients, including hardware resources and scheduling logic to schedule direct access of the hardware resources to the one or more clients to process the workloads.

公开(公告)号：US12020135B2

公开(公告)日：2024-06-25

申请号：US17446101

申请日：2021-08-26

Applicant: Intel Corporation

Inventor： Liwei Ma ,  Elmoustapha Ould-Ahmed-Vall ,  Barath Lakshmanan ,  Ben J. Ashbaugh ,  Jingyi Jin ,  Jeremy Bottleson ,  Mike B. Macpherson ,  Kevin Nealis ,  Dhawal Srivastava ,  Joydeep Ray ,  Ping T. Tang ,  Michael S. Strickland ,  Xiaoming Chen ,  Anbang Yao ,  Tatiana Shpeisman ,  Altug Koker ,  Abhishek R. Appu

IPC: G06N3/04 ,  G06N3/063 ,  G06N3/082 ,  G06T1/20 ,  G06N3/044 ,  G06N3/045

CPC classification number: G06N3/04 ,  G06N3/063 ,  G06N3/082 ,  G06T1/20 ,  G06N3/044 ,  G06N3/045

Abstract: A library of machine learning primitives is provided to optimize a machine learning model to improve the efficiency of inference operations. In one embodiment a trained convolutional neural network (CNN) model is processed into a trained CNN model via pruning, convolution window optimization, and quantization.

公开(公告)号：US11934934B2

公开(公告)日：2024-03-19

申请号：US15488551

申请日：2017-04-17

Applicant: Intel Corporation

Inventor： Liwei Ma ,  Elmoustapha Ould- Ahmed-Vall ,  Barath Lakshmanan ,  Ben J. Ashbaugh ,  Jingyi Jin ,  Jeremy Bottleson ,  Mike B. Macpherson ,  Kevin Nealis ,  Dhawal Srivastava ,  Joydeep Ray ,  Ping T. Tang ,  Michael S. Strickland ,  Xiaoming Chen ,  Anbang Yao ,  Tatiana Shpeisman ,  Altug Koker ,  Abhishek R. Appu

IPC: G06N3/04 ,  G06N3/063 ,  G06N3/082 ,  G06T1/20 ,  G06N3/044 ,  G06N3/045

CPC classification number: G06N3/04 ,  G06N3/063 ,  G06N3/082 ,  G06T1/20 ,  G06N3/044 ,  G06N3/045

Abstract: An apparatus to facilitate optimization of a convolutional neural network (CNN) is disclosed. The apparatus includes optimization logic to receive a CNN model having a list of instructions and including pruning logic to optimize the list of instructions by eliminating branches in the list of instructions that comprise a weight value of 0.

公开(公告)号：US20240089083A1

公开(公告)日：2024-03-14

申请号：US17931438

申请日：2022-09-12

Applicant: Intel Corporation

Inventor： Kylan Race ,  Ernesto Zamora Ramos ,  Jeremy Bottleson ,  Jingyi Jin

IPC: H04L9/00 ,  H04L9/06

CPC classification number: H04L9/008 ,  H04L9/0656 ,  H04L2209/46

Abstract: A method comprises receiving, from a remote device, a first encrypted data set encrypted using a first encryption scheme, performing a set of computations on the first encrypted data set to generate a first set of encrypted results, encrypting the first set of encrypted results using a second encryption scheme to generate a second set of encrypted results, sending the second set of encrypted results to the remote device, receiving, from the remote device, third set of encrypted results in which the first encryption scheme has been decrypted, and generating a set of decrypted results by applying a decryption algorithm to the third set of encrypted results to decrypt the second encryption scheme.

公开(公告)号：US20240086683A1

公开(公告)日：2024-03-14

申请号：US18471843

申请日：2023-09-21

Applicant: Intel Corporation

Inventor： Liwei Ma ,  Nadathur Rajagopalan Satish ,  Jeremy Bottleson ,  Farshad Akhbari ,  Eriko Nurvitadhi ,  Chandrasekaran Sakthivel ,  Barath Lakshmanan ,  Jingyi Jin ,  Justin E. Gottschlich ,  Michael Strickland

IPC: G06N3/044 ,  G06F9/50 ,  G06N3/045 ,  G06N3/063 ,  G06N3/084

CPC classification number: G06N3/044 ,  G06F9/5038 ,  G06N3/045 ,  G06N3/063 ,  G06N3/084 ,  G06F2209/5021

Abstract: An apparatus to facilitate workload scheduling is disclosed. The apparatus includes one or more clients, one or more processing units to processes workloads received from the one or more clients, including hardware resources and scheduling logic to schedule direct access of the hardware resources to the one or more clients to process the workloads.

公开(公告)号：US11809978B2

公开(公告)日：2023-11-07

申请号：US17723074

申请日：2022-04-18

Applicant: Intel Corporation

Inventor： Liwei Ma ,  Nadathur Rajagopalan Satish ,  Jeremy Bottleson ,  Farshad Akhbari ,  Eriko Nurvitadhi ,  Chandrasekaran Sakthivel ,  Barath Lakshmanan ,  Jingyi Jin ,  Justin E. Gottschlich ,  Michael Strickland

IPC: G06N3/04 ,  G06N3/044 ,  G06F9/50 ,  G06N3/063 ,  G06N3/084 ,  G06N3/045

CPC classification number: G06N3/044 ,  G06F9/5038 ,  G06N3/045 ,  G06N3/063 ,  G06N3/084 ,  G06F2209/5021

Abstract: An apparatus to facilitate workload scheduling is disclosed. The apparatus includes one or more clients, one or more processing units to processes workloads received from the one or more clients, including hardware resources and scheduling logic to schedule direct access of the hardware resources to the one or more clients to process the workloads.

公开(公告)号：US20230039729A1

公开(公告)日：2023-02-09

申请号：US17963539

申请日：2022-10-11

Applicant: Intel Corporation

Inventor： Abhishek R. Appu ,  Altug Koker ,  Linda L. Hurd ,  Dukhwan Kim ,  Mike B. MacPherson ,  John C. Weast ,  Justin E. Gottschlich ,  Jingyi Jin ,  Barath Lakshmanan ,  Chandrasekaran Sakthivel ,  Michael S. Strickland ,  Joydeep Ray ,  Kamal Sinha ,  Prasoonkumar Surti ,  Balaji Vembu ,  Ping T. Tang ,  Anbang Yao ,  Tatiana Shpeisman ,  Xiaoming Chen

IPC: G05B13/02 ,  G05D1/00 ,  G06N3/04 ,  G06N3/02 ,  G06N5/04 ,  G06N20/00

Abstract: Methods and apparatus relating to autonomous vehicle neural network optimization techniques are described. In an embodiment, the difference between a first training dataset to be used for a neural network and a second training dataset to be used for the neural network is detected. The second training dataset is authenticated in response to the detection of the difference. The neural network is used to assist in an autonomous vehicle/driving. Other embodiments are also disclosed and claimed.

公开(公告)号：US20190188554A1

公开(公告)日：2019-06-20

申请号：US16283021

申请日：2019-02-22

Applicant: Intel Corporation

Inventor： Liwei Ma ,  Elmoustapha Ould-Ahmed-Vall ,  Barath Lakshmanan ,  Ben J. Ashbaugh ,  Jingyi Jin ,  Jeremy Bottleson ,  Mike B. Macpherson ,  Kevin Nealis ,  Dhawal Srivastava ,  Joydeep Ray ,  Ping T. Tang ,  Michael S. Strickland ,  Xiaoming Chen ,  Anbang Yao ,  Tatiana Shpeisman ,  Altug Koker ,  Abhishek R. Appu

IPC: G06N3/04 ,  G06N3/08 ,  G06T1/20 ,  G06N3/063

CPC classification number: G06N3/04 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/063 ,  G06N3/082 ,  G06T1/20

Abstract: Embodiments provide systems and methods which facilitate optimization of a convolutional neural network (CNN). One embodiment provides for a non-transitory machine-readable medium storing instructions that cause one or more processors to perform operations comprising processing a trained convolutional neural network (CNN) to generate a processed CNN, the trained CNN having weights in a floating-point format. Processing the trained CNN includes quantizing the weights in the floating-point format to generate weights in an integer format. Quantizing the weights includes generating a quantization table to enable non-uniform quantization of the weights and quantizing the weights from the floating-point format to the integer format using the quantization table. The operations additionally comprise performing an inference operation utilizing the processed CNN with the integer format weights.

公开(公告)号：US20240089082A1

公开(公告)日：2024-03-14

申请号：US17931007

申请日：2022-09-09

Applicant: Intel Corporation

Inventor： Jeremy Bottleson ,  Ernesto Zamora Ramos ,  Kylan Race ,  Fillipe Dias Moreira de Souza ,  Hubert de Lassus ,  Jingyi Jin

IPC: H04L9/00 ,  G10L15/26 ,  H04L9/08

CPC classification number: H04L9/008 ,  G10L15/26 ,  H04L9/0825

Abstract: A method comprises receiving, from an input device, an input speech signal, encoding the input speech signal to generate a first homomorphically encrypted string, sending the homomorphically encrypted string to a remote device via communication link, receiving, from the remote device, a reply comprising a second homomorphically encrypted string, decoding the second homomorphically encrypted string into an output speech signal, and outputting the output speech signal on an audio output device.