G06F7/10

Neural machine translation systems with rare word processing

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for neural translation systems with rare word processing. One of the methods is a method training a neural network translation system to track the source in source sentences of unknown words in target sentences, in a source language and a target language, respectively and includes deriving alignment data from a parallel corpus, the alignment data identifying, in each pair of source and target language sentences in the parallel corpus, aligned source and target words; annotating the sentences in the parallel corpus according to the alignment data and a rare word model to generate a training dataset of paired source and target language sentences; and training a neural network translation model on the training dataset.

Positional indexing for a tiered data storage system

The system and methods disclosed herein relate to an improvement in automated data tiering technology. The systems and methods disclosed herein enhance database storage performance characteristics in myriad ways. First, the speed with which data can be relocated from one tier to another in a tiered data storage system is increased by reducing the number of sort cycles required to perform data relocation. In addition, data relocation among the tiers is performed on the backend by an offload engine, which results in uninterrupted access to read/write commands within the data storage system from a user's perspective on the frontend. Third, users are able to adjust the percentages of hot or cold data that are relocated within the database without having to alter the service level agreements. In this way, users can make spontaneous changes to performance characteristics related to the promotion and demotion of data stored within a tiered data storage system.

Identification of audio content
11055059 · 2021-07-06 · ·

An example implementation involves a playback device receiving digital data representing audio content, the digital data encoded in a first format. The playback device causes one or more speaker drivers to playback the audio content. The playback device decodes a portion of the received digital data to convert the portion of the received digital data from the first format to a second format and transmits, via a network interface to a computing device of an identification system, the decoded portion of the received digital data. The playback device receives, from via the network interface from the identification system, metadata corresponding to the audio content, and in response, causes a control device to display a graphical representation of the received metadata, wherein causing the control device to display the graphical representation comprises sending, via the network interface to the control device, the received metadata to the control device.

Methods and systems for providing labelled biomolecules

Aspects of the present disclosure include systems for use in preparing a labelled biomolecule reagent. Systems according to certain embodiments include an input manager for receiving a request for a labelled biomolecule reagent, a memory for storing a dataset having a plurality of labelled biomolecule reagent storage identifiers, a processing module communicatively coupled to the memory and configured to identify one or more labelled biomolecule reagent storage identifiers from the dataset that corresponds to the labelled biomolecule reagent request and an output manager for providing the one or more identified labelled biomolecule reagent storage identifiers. A reagent preparatory apparatus for preparing the labelled biomolecule reagent from an activated biomolecule and activated label is also described. Methods for communicating and receiving a labelled biomolecule reagent request and preparing the subject labelled biomolecule reagents are also provided.

Methods and systems for providing labelled biomolecules

Aspects of the present disclosure include systems for use in preparing a labelled biomolecule reagent. Systems according to certain embodiments include an input manager for receiving a request for a labelled biomolecule reagent, a memory for storing a dataset having a plurality of labelled biomolecule reagent storage identifiers, a processing module communicatively coupled to the memory and configured to identify one or more labelled biomolecule reagent storage identifiers from the dataset that corresponds to the labelled biomolecule reagent request and an output manager for providing the one or more identified labelled biomolecule reagent storage identifiers. A reagent preparatory apparatus for preparing the labelled biomolecule reagent from an activated biomolecule and activated label is also described. Methods for communicating and receiving a labelled biomolecule reagent request and preparing the subject labelled biomolecule reagents are also provided.

METHOD/SYSTEM FOR MANAGEMING EXPERIMENTAL DATA, COMPUTER READABLE STORAGE MEDIUM, AND DEVICE
20200409658 · 2020-12-31 ·

The present disclosure provides a method/system for managing experimental data, a computer readable storage medium, and a device. The method includes: recording the managing experimental data, and preprocessing the experimental data, to obtain at least two preprocessed experimental arrays; selecting one element from each of two selected preprocessed experimental arrays according to an analysis requirement, and combining the elements to form a cyclic experimental database, the cyclic experimental database including a plurality of combination data; performing cyclic statistical analysis on the combination data in the cyclic experimental database, to obtain a cyclic statistical result corresponding to retrieved combination data.

METHOD/SYSTEM FOR MANAGEMING EXPERIMENTAL DATA, COMPUTER READABLE STORAGE MEDIUM, AND DEVICE
20200409658 · 2020-12-31 ·

The present disclosure provides a method/system for managing experimental data, a computer readable storage medium, and a device. The method includes: recording the managing experimental data, and preprocessing the experimental data, to obtain at least two preprocessed experimental arrays; selecting one element from each of two selected preprocessed experimental arrays according to an analysis requirement, and combining the elements to form a cyclic experimental database, the cyclic experimental database including a plurality of combination data; performing cyclic statistical analysis on the combination data in the cyclic experimental database, to obtain a cyclic statistical result corresponding to retrieved combination data.

Multi-connectivity charging in heterogeneous networks

Methods and apparatus, including computer program products, are provided for charging in multi-connectivity systems. In some example embodiments, there may be provided a method that includes marking, by a first base station serving a user equipment, at least one packet to include a first indication indicating that the at least one packet was received directly at the first base station serving the user equipment; and marking, by the first base station, at least one other packet to include a second indication to indicate that the at least one other packet was received via a second base station also serving the user equipment. Related systems, methods, and articles of manufacture are also described.

Multi-connectivity charging in heterogeneous networks

Methods and apparatus, including computer program products, are provided for charging in multi-connectivity systems. In some example embodiments, there may be provided a method that includes marking, by a first base station serving a user equipment, at least one packet to include a first indication indicating that the at least one packet was received directly at the first base station serving the user equipment; and marking, by the first base station, at least one other packet to include a second indication to indicate that the at least one other packet was received via a second base station also serving the user equipment. Related systems, methods, and articles of manufacture are also described.

Irreducible modules

An approach to generating irreducible modules. The approach includes a method that includes receiving, by at least one computing device, data associated with a specification. The method includes defining, by the at least one computing device, a pattern on the received data. The pattern reduces a set of rules into a single condition. The method includes generating, by the at least one computing device, an irreducible module based on the pattern. The irreducible module has one output dependent variable and is associated with a data flow application.