Lockstep comparators and related methods are described. An example apparatus includes self-test logic circuitry having first outputs, and comparator logic including selection logic having first inputs and second outputs, ones of the first inputs coupled to the first outputs, first detection logic having second inputs and third outputs, the second inputs coupled to the second outputs, second detection logic having third inputs and fourth outputs, the third inputs coupled to the third outputs, latch logic having fifth inputs and fifth outputs, the third output and the fourth output coupled to the fifth inputs, and error detection logic having sixth inputs coupled to the fifth inputs.

Median values for a stream of received data values in a data processing system (e.g. an image processing system) are determined. A first median value of the received data values within a first subset of data values of the received stream is determined, and intermediate data used for determining the first median value is stored. The stored intermediate data is used to determine a median value of the received data values within a second subset of data values of the received stream, wherein the second subset at least partially overlaps with the first subset. The determined median values are outputted for use in the data processing system, e.g. for further processing.

An apparatus and method for academic search and analytics insights have been provided. The apparatus includes an ingestion component, obtaining data from external heterogeneous sources, to produce ingested data; a processing component for processing the ingested data; a search and analytics component for executing search queries on the ingested data and generating analytics insights on returned search result; and a storage component for storing the ingested data, the storage component acting as a communication data bus for the ingestion component, the processing component and the search and analytics component. Corresponding server and network system are have been provided.

An internet data collection method includes steps of receiving a collecting instruction, the collecting instruction corresponds to target data that marked on a web page; retrieving a web address corresponding to the web page and the location information of the target data on the web page; and storing the web address and the location information as a tag to an operating end.

Systems, methods, and computer-readable media for defining a collection of media content items of a media library for a relevant interest are provided.

A method of selecting and presenting content based on learned user preferences is provided. The method includes providing a content system including a set of content items organized by genre characterizing the content items, and wherein the set of content items contains microgenre metadata further characterizing the content items. The method also includes receiving search input from the user for identifying desired content items and, in response, presenting a subset of content items to the user. The method further includes receiving content item selection actions from the user and analyzing the microgenre metadata within the selected content items to learn the preferred microgenres of the user. The method includes, in response to receiving subsequent user search input, selecting and presenting content items in an order that portrays as relatively more relevant those content items containing microgenre metadata that more closely match the learned microgenre preferences of the user.

A calculator includes: registers each including sub-registers that hold pieces of data for use in operation; an operator that executes, in parallel, operations of the pieces of data; and a memory configured to hold a first vector and second vectors to be compared with the first vector. Each second vector is divided into sub-vectors and sub-vector groups each including the sub-vectors of the second vectors are arranged in units of sub-vector groups. A first process of transferring one of sub-vectors of the first vector to sub-registers of a first register among the registers, a second process of transferring the sub-vector group of the second vectors corresponding to the transferred sub-vector of the first vector to sub-registers of a second register, the sub-vector group being held in the memory, and a third process of calculating and integrating numbers of mismatches between bit values of the sub-vectors held are repeatedly executed.

A calculator includes: registers each including sub-registers that hold pieces of data for use in operation; an operator that executes, in parallel, operations of the pieces of data; and a memory configured to hold a first vector and second vectors to be compared with the first vector. Each second vector is divided into sub-vectors and sub-vector groups each including the sub-vectors of the second vectors are arranged in units of sub-vector groups. A first process of transferring one of sub-vectors of the first vector to sub-registers of a first register among the registers, a second process of transferring the sub-vector group of the second vectors corresponding to the transferred sub-vector of the first vector to sub-registers of a second register, the sub-vector group being held in the memory, and a third process of calculating and integrating numbers of mismatches between bit values of the sub-vectors held are repeatedly executed.

A method, performed by one or more processors, including: receiving a user query; deriving, based on the user query, a search engine query for use with search engine software and a data access query for use with data access software; sending, to the search engine software, the search engine query to cause the search engine software to locate first data stored in a search engine index; sending, to the data access software, the data access query to cause the data access software to locate second data stored in a distributed data store; receiving, from the search engine software, the first data; and receiving, from the data access software, the second data.

Various embodiments relate to a method for masked decoding of a polynomial a using an arithmetic sharing a to perform a cryptographic operation in a data processing system using a modulus q, the method for use in a processor of the data processing system, including: subtracting an offset δ from each coefficient of the polynomial a; applying an arithmetic to Boolean (A2B) function on the arithmetic shares of each coefficient a.sub.i of the polynomial a to produce Boolean shares â.sub.i that encode the same secret value a.sub.i; and performing in parallel for all coefficients a shared binary search to determine which of coefficients a.sub.i are greater than a threshold t to produce a Boolean sharing value {circumflex over (b)} of the bitstring b where each bit of b decodes a coefficient of the polynomial a.