公开(公告)号：US20250016237A1

公开(公告)日：2025-01-09

申请号：US18895063

申请日：2024-09-24

Applicant: Samsung Electronics Co., Ltd.

Inventor： Chandrashekhar S Byadgi ,  Kartik Anand ,  Praveen Naik S ,  Ramesh Babu Venkat Dabbiru ,  Siva Prasad Gundur ,  Prasenjit Chakraborty ,  Eric Ho Ching Yip

IPC: H04L67/141

Abstract: An example method for communicating AI data from a sender device to a receiver device in a computing environment may include generating protocol instances of AI data; generating AI metadata description based on AI model information; sending a request comprising the AI metadata description to a receiver device for establishing a session; establishing a session by receiving a response from the receiver device based on the request; sending the AI data associated with the AI metadata description, to the receiver device based on the established session. The receiver device may receive the request and determine the compatibility of the metadata description, generate and send a response, followed by receiving the AI data associated with the AI metadata description.

公开(公告)号：US20240348703A1

公开(公告)日：2024-10-17

申请号：US18752402

申请日：2024-06-24

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Chandrashekhar S BYADGI ,  Kartik Anand ,  Praveen Naik S ,  Ashish Kumar ,  Srinidhi N ,  Ramesh Babu Venkat Dabbiru ,  Jyotirmoy Karejee ,  Siva Prased Gundur ,  Eric Ho Ching Yip

IPC: H04L69/04

CPC classification number: H04L69/04

Abstract: The present disclosure relates to methods and devices for managing communication of Artificial Intelligence (AI) data between devices in a computing environment. Detecting one or more sets of changes in data values associated with current data frame based on comparison between current data frame and previously generated data frame. Further, performing generation of one or more data chunks of an updated data frame, comprising one or more data segments based on the one or more sets of changes, based on one of, a first codec technique and second codec technique. Transmitting one or more data chunks to one or more receiver devices based on the respective data chunk satisfying a specified chunk size. Transmitting the one or more data chunks generated for updated data frame to one or more receiver devices based on respective data chunk satisfying a specified chunk size.

公开(公告)号：US11916755B2

公开(公告)日：2024-02-27

申请号：US17703296

申请日：2022-03-24

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jyotirmoy Karjee ,  Kartik Anand ,  Vanamala Narasimha Bhargav ,  Praveen Naik S ,  Ramesh Babu Venkat Dabbiru ,  Srinidhi N ,  Anshuman Nigam ,  Rishabh Raj Jha

IPC: G06F15/16 ,  H04L41/16 ,  H04L43/0888 ,  H04L67/10

CPC classification number: H04L41/16 ,  H04L43/0888 ,  H04L67/10

Abstract: A method and device for execution of deep neural network (DNN) in an internet of things (IoT) edge network are provided. In an embodiment, at least one edge device within communication range of an IoT device are selected. Further, a network for connecting the IoT device with the at least one selected edge device is identified. A split ratio is determined based on an inference time of the DNN and a transmission time required for transmitting output of each layer of DNN from the IoT device to the selected at least one edge device. Finally, a plurality of layers of the DNN are split into a first part and a second part based on the split ratio, and the second part is transmitted to the selected at least one edge device through the identified network. The first part is executed on the IoT device, and the second part is executed on the selected at least one edge device.