In various examples, a VPU and associated components may be optimized to improve VPU performance and throughput. For example, the VPU may include a min/max collector, automatic store predication functionality, a SIMD data path organization that allows for inter-lane sharing, a transposed load/store with stride parameter functionality, a load with permute and zero insertion functionality, hardware, logic, and memory layout functionality to allow for two point and two by two point lookups, and per memory bank load caching capabilities. In addition, decoupled accelerators may be used to offload VPU processing tasks to increase throughput and performance, and a hardware sequencer may be included in a DMA system to reduce programming complexity of the VPU and the DMA system. The DMA and VPU may execute a VPU configuration mode that allows the VPU and DMA to operate without a processing controller for performing dynamic region based data movement operations.

A processor may receive data and generate a quantified representation of the data by processing the data using at least one machine learning (ML) algorithm, the quantified representation of the data indicating a sentiment of content of the data. The processor may automatically revise the content of the communications data. The revising may include determining a reaction to the content of the communications data, generating a quantified representation of the reaction, determining a difference between the quantified representation of the reaction and the quantified representation of the communications data, identifying, based on the difference, a portion of the content having an unintended sentiment, and replacing the portion of the content with different content.

An information processing apparatus according to one embodiment includes one or more hardware processors coupled to a memory. The one or more hardware processors acquires pieces of target data of different types. The one or more hardware processors generates element information for each element included in the pieces of the target data. The element information indicates the corresponding element. The one or more hardware processors links, with each other, related pieces of the element information and stores the linked pieces of the element information in a storage device.

An exemplary system, method and computer accessible medium can include receiving an authorization token related to a customer(s), determining a client identification (ID) associated with the customer(s) based on the authorization token, and determining access to a microservices(s) based on the client ID. An application for a loan(s) from the customer (s) can be received based on the client ID and the loan(s) can be associated with an application ID(s). A further authorization token related to a further customer(s) can be received, a further client ID can be determined based on the further authorization token, a determination can be made as to whether the further client ID has access to the application, and access to the application can be granted to the further customer(s) if the further client ID is determined to have access to the application.

The present invention relates generally to an attention-based model framework for click through rate (CTR) prediction between a search query and bidword. Aspects of the present invention include using vector representation of a search query and a bidword. In embodiments, an attention-based model is used to predict CTR for a search query-bidword pair. In embodiments, a bidword with a highest CTR prediction for a given query is used to place an advertisement. Thus, a bidword may be used even without an exact match to a search query.

A digital data processor includes an instruction memory storing instructions specifying a data processing operation and a data operand field, an instruction decoder coupled to the instruction memory for recalling instructions from the instruction memory and determining the operation and the data operand, and an operational unit coupled to a data register file and to an instruction decoder to perform a data processing operation upon an operand corresponding to an instruction decoded by the instruction decoder and storing results of the data processing operation. The operational unit is configured to perform a table write in response to a look up table initialization instruction by duplicating at least one data element from a source data register to create duplicated data elements, and writing the duplicated data elements to a specified location in a specified number of at least one table and a corresponding location in at least one other table.

There is provided a method of using a bitmap filter to filter a data source as part of a join operation. A set bit at a bit location of the bitmap filter is associated with an entry of the data source that comprises an identifier that matches a filter parameter. A row identifier of a row in another data source that corresponds to the identifier is determined based on a sum of a number of bits set in bit locations that are between the bit location of the set bit associated with the entry of the data source and a bit location in the bitmap filter corresponding to a different, known, row identifier of a different row in the another data source. The row of the another data source corresponding to the determined row identifier is interrogated to obtain information defining the identifier that matches the filter parameter.

This disclosure describes systems and methods for using an estimator to produce values for dependent variables of streaming objects based on values of independent variables of the objects. The systems and methods may include continuously tuning the estimator based on any objects received with pre-populated values for the dependent variables.

The present disclosure is directed toward systems and methods that efficiently and effectively generate and utilize collections of content items. For example, systems and methods described herein generate a collection content item including one or more content item references. In one or more embodiments, the collection content item can include content item references for content items located internally or externally, with granular levels of permissions settings and version controls. Additionally, in response to a detected selection of a content item reference, systems and methods described herein generate a rendering of the associated content item that can be viewed regardless of any third party software installed on the viewing client computing device.

An apparatus and computer implemented method that include obtaining, into a computer, text of a patent, automatically finding and extracting, using the computer, a set of claim text from the patent text, identifying, using the computer, text of independent claims from the set of claim text, displaying in a first row on a computer monitor the text of the independent claims, automatically determining a plurality of preliminary scope-concept phrases from the text of the independent claims, displaying in a second row on the computer monitor the text of the plurality of preliminary scope-concept phrases, eliciting and receiving user input to specify a first one of the plurality of preliminary scope-concepts phrases, and highlighting each occurrence of the specified first one of the plurality of preliminary scope-concept phrases in a plurality of the independent claims displayed in the first row. A scope concept builder tool is also provided.