Samsung Electronics Co., Ltd.

Infosys Limited

Accenture Global Solutions Limited

The Mathworks, Inc.

Koninklijke Philips Corporation N.v.

Texas Instruments Corporation

Amazon Technologies, Inc.

Karthik Srinivasan

Pranav Prakash Deshpande

John Edward Ciolfi

Sanjoy Paul

Pradeep Kumar Sindhagatta Krishnappa

Sudha S Dhoorjaty

Raju Kottamadal

Rajesh Bandreddi

Rithesh Sreenivasan

Pankaj Shrikant Nikumb

Saikat Kumar Das

Suchit Vishnupant Bhatwadekar

Rajat Arya

Devanathan Varadarajan

Deepak A Sharma

Rajendra Singh Sisodia

Alok Shankarlal Shukla

Puneet Pandey

Manjit Hota

Aart Tijmen Van Halteren

Anand Srinivasan Srinivasan Natesan

Venkat Ramana Peddigari

Sujoy Saha

Romesh Viswanath

Ayush Goel

Ram Mohen Venkatakrishnan

Suhas Shantaraja Palasamudram

Sourabh Singh Yadav

Rituparna Sarkar

Hari Krishnan Thiruvalli Venugopalan

Vijayaraghavan Varadarajan

Ramanan Ramanathan

Ryan LaBoube

Mayank Thakur

Kousik Kumar Gopalan

Maria Joseph Daniel Victor

Debasish Chatterjee

Pradeep Kumar Sk

Akankshya Kar

Neel Talakshi Gala

Poorva Agrawal

A system and method for implementing asynchronous READ/WRITE operations in a Double Data Rate (DDR) controller to reduce Dynamic Random Access Memory (DRAM) access latency. The system provides a program configurable interface to the DDR controller for pre-fetching data from a memory address of interest into cache, for serving an asynchronous READ operation. The asynchronous READ operation minimizes or reduces pre-charge latency, Row Address Select (RAS) latency, and Column Address Select (CAS) latency. The system provides a program configurable interface to the DDR controller the read operation or the write operation being for providing buffer data directly to the DDR controller to handle an asynchronous WRITE operation.

Systems and methods for providing asynchronous read/write support in DDR controllers

Examples of a digital orchestration system are provided. The system may obtain orchestration data on a real-time basis. The system may identify a plurality of events for offering a plurality of user services across a plurality of user interaction stages. The system may identify a plurality of actions associated with each of the plurality of events. The system may create a recipe associated with each of the plurality of actions. The system may identify and implement the associated recipe. The system may create an event sequence for each of the plurality of user interaction stages. The system may create a user service sequence comprising the plurality of user services associated with the event sequence. The system may generate a user experience result based on the event sequence and the user service sequence.

Experience orchestration

Techniques are described herein for presenting attribute variations (differing attribute values) of an item at a network page. A request for the network page associated with an item of an electronic catalog can be received. In response to the request, the network page can be presented. The content and/or format of the network page can be predefined by an interface specification associated with the item and/or item category for the item. The network page may include a first area that includes an expanded view in which one or more variations of the first attribute are depicted and any suitable number of collapsed views in which one or more variations associated with a respective attribute are hidden from view. The areas of the network page may be dynamically expanded and collapsed to enable selection of various attribute values which may then be used to update the network page.

Computer-implemented method, a computing device, and a non-transitory computer readable storage medium for presenting attribute variations

A method and an apparatus for capturing a high quality dynamic image by setting a different row-wise exposure value when capturing a scene are provided. The dynamic image capturing method includes: generating an image by pre-capturing a scene via an event sensor; generating event data from the image; determining a row-wise exposure value of the image based on the event data; and determining a row-wise readout priority order of the image based on the row-wise exposure value of the image.

Method and apparatus for dynamic image capturing based on motion information in image

The present disclosure provides a clustering device configured to detect varying density. The clustering device may receive a set of parameters (e.g., a density parameter specifying a plurality of density values, a size parameter, and a node parameter that includes information associated with a plurality of nodes) for identifying clusters. The clustering device may determine a distance between different pairs of nodes of the plurality of nodes and identify candidate nodes of the plurality of nodes based on the distance determined for the different pairs of nodes and the size parameter. Candidate nodes may be assigned to a candidate cluster that may be evaluated against the density parameter to determine whether a density of the candidate cluster satisfies at least one of the plurality of density values. A cluster may be identified based on whether the candidate cluster satisfies at least one of the plurality of density values.

Systems and methods for implementing density variation (DENSVAR) clustering algorithms

A method for real-time semantic image segmentation using a monocular event-based sensor includes capturing a scene using a red, green, blue (RGB) sensor to obtain a plurality of RGB frames and an event sensor to obtain event data corresponding to each of the plurality of RGB frames, performing object labeling for objects in a first RGB frame among the plurality of RGB frames by identifying one or more object classes, obtaining an event velocity of the scene by fusing the event data corresponding to the first RGB frame and at least one subsequent RGB frame among the plurality of RGB frames, determining whether the event velocity is greater than a predefined threshold, and performing object labeling for objects in the at least one subsequent RGB frame based on the determination.

Method and apparatus for image segmentation using an event sensor

A method and apparatus are provided for performing depth estimation of an object in an image of a scene. The method includes capturing the image of a scene; obtaining, by a sensor, from the image, pixel intensity data and event data; generating an event depth map using the event data, wherein the event data includes event map data of the image and event velocity data of the image; and generating a depth map for the object in the image using the event depth map and the pixel intensity data.

Method and apparatus for performing depth estimation of object

A machine learning based recommendation model, including a supervised learning classifier configured to receive input training data that includes a plurality of behavioral determinants, a supervised learning model configured to receive subject input data that includes a plurality of behavior determinants, wherein the supervised learning model outputs a predicted behavior of a subject, and a channel selection module configured to receive the subject input data and the predicted behavior and to determine a recommended communication channel for the subject to follow to achieve the predicted behavior.

System and method for identifying optimal effective communication channel for subject engagement

Provided is a method of motion estimation for processing a video stream comprising a plurality of frames, the method including segmenting at least one frame, from among the plurality of frames, into a plurality of blocks, determining an event density factor for each block included in a frame, wherein the event density factor of the block corresponds to a number of events accumulated in the block across frames in a predetermined time duration, comparing the determined event density factor with a threshold value, estimating a motion vector of the block based on the comparison, and processing the block in the video stream based on the estimated motion vector of the block.

Systems and methods of motion estimation using monocular event-based sensor

A method and apparatus for capturing images with a high degree of movements in a captured scene are provided. The method includes receiving, by an image sensor, a sequence of images including a plurality of RGB image frames and color event data, generating a plurality of pseudo color filter array (CFA) frames based on the color event data, and generating dynamic images by combining the plurality of RGB image frames and the plurality of pseudo CFA frames.

Method and apparatus for capturing dynamic images

The present invention relates to a device () for use in improving a user interaction with a user interface application. It is described to provide () data for a user, the data comprising interaction data of the user with a plurality of interaction fields of a first version of a user interface application. The interaction data is clustered () into a plurality of groups. The interaction data is analysed () to determine the contribution a specific user interaction field of the plurality of interaction fields makes to a specific group of the plurality of groups. The specific user interaction field is modified () on the basis of the determined contribution the specific user interaction field makes. A second version of the user interface application is displayed () comprising the modified specific user interaction field.

Device for use in improving a user interaction with a user interface application

Systems and methods provide, as part of an executable graphical model, a region for providing variants that includes one or more computational choices defining alternative execution implementations of the region. Conditions assigned to the one or more computational choices indicate which of the computational choices is active. The conditions specify logical expressions of variables that evaluate to True or False. For a given simulation of the executable graphical model, all of the logical expressions may evaluate to False, such that none of the computational choices are active. All of the computational choices of the executable graphical model may be removed for the given simulation.

Variant modeling elements in graphical programs

Systems and methods provide, as part of an executable graphical model, a region for providing variants that includes one or more computational choices defining alternative execution implementations of the region. Conditions assigned to the one or more computational choices indicate which of the computational choices is active. The conditions specify logical expressions of variables that evaluate to True or False. Two or more of the logical subexpressions may be combined to form a combination logical expression, which may be assigned to two or more model elements included in at least one of the computational choices. The combination logical expression may be decomposed into its logical subexpressions, and at least one of the decomposed logical subexpressions may be traced to one or more of the model elements to which the at least one of the logical subexpressions is assigned.

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Bengaluru, India

Karthik Srinivasan