Samsung Electronics Co., Ltd.

Hitachi, Ltd.

Truata Limited

Barry Smyth

James Russell Geraci

Aonghus Lawlor

Neil Hurley

Ilias Tragos

Maurice Coyle

Imran Khan

Michael Fenton

Bichen Shi

Ruihai Dong

Padraig Cunningham

Noel Rogers

Aydin Ulas

Dave Fagan

Francisco Pena

An electronic device and a controlling method thereof are provided. The electronic device includes a memory and a processor configured to obtain importance data representing an importance of each of a plurality of words included in the text data using text data related to a plurality of items written by a plurality of users, obtain a topic model representing a relationship between a topic and a word by applying a topic modelling algorithm to the obtained importance data, obtain preference data representing preference of each of the plurality of users for the topic and relationship data representing a relationship between the plurality of items and the topic, based on the obtained topic model, and train a recommendation model to output result data including an estimated preference for the plurality of items of the plurality of users, based on the preference data and the relationship data.

Training recommendation model based on topic model and word importance

A system and method for guiding privacy-enhancing transformations are described. The system and method include a recommendation engine configured to identify sets of transformations to mitigate a privacy risk below a user specified threshold specified in-terms of privacy-risk score for a given input dataset while keeping the utility of the dataset above the user-specified utility threshold specified in-terms of utility score. A simulation engine configured to simulate the identified set of transformations from the recommendation engine on the dataset to determine the optimal application of the plurality of transformations for maximizing the utility of the dataset, and output device to provide the optimized dataset with the privacy risk score and utility score.

System and method for guiding privacy-enhancing transformations

Provided are an artificial intelligence (AI) system simulating a function of a human brain, such as cognition and judgment, using a machine learning algorithm, such as deep learning, and an application thereof. Also, provided is a method, performed by an electronic apparatus, of refining an artificial intelligence (AI) model, the method including: detecting information about a context of an electronic apparatus used to refine a local model stored in the electronic apparatus being changed; determining a gradient for refining the local model based on the changed information about the context; refining the local model based on the determined gradient; transmitting the gradient to a server; receiving, from the server, information about a global model refined based on the gradient; and refining the local model based on the received information.

Electronic apparatus and server for refining artificial intelligence model, and method of refining artificial intelligence model

An electronic device is provided. The device includes a processor configured to receive, from a first external device, a list of a first number of items generated based on a request of a user, and a first score of each of the first number of items, identify a first relevancy between each element of a first feature set and each of the first number of items and a second relevancy between each element of the set and the user, identify a first list of a second number of items, identify, for at least one item of the first list, a third relevancy between a first feature of the set which satisfies a condition and the at least one item and a fourth relevancy between the first feature and the user, based on the first relevancy and the second relevancy, and output the third relevancy and the fourth relevancy with the first list.

Electronic device for providing information in response to query and method therefor

This invention refers to an automatic design process comprising the steps of:- (1)writing a target specification of an item to be designed to a partitioned section of a memory circuit; (2)automatically determining an address for a case stored in a case-base by reference to the target specification;(3)retrieving the case from the case-base and writing the retrieved case to a partitioned section of the memory circuit; and (4)adapting the retrieved case into conformity with the target specification, and writing the adapted case to a partitioned section of the memory circuit as a target solution. Preferably, the process further comprises successive cycles of retrieving a case and adapting the retrieved case, each cycle being initiated by writing of a target specification representing a component of the item to the target specification section of the memory circuit.

Automatic design process and apparatus

Growing community of inventors

Dublin, Ireland

Barry Smyth