Abstract: A device configured to implement an artificial intelligence deep neural network includes a first matrix and a second matrix. The first matrix resistive processing unit (“RPU”) array receives a first input vector along the rows of the first matrix RPU. A second matrix RPU array receives a second input vector along the rows of the second matrix RPU. A reference matrix RPU array receives an inverse of the first input vector along the rows of the reference matrix RPU and an inverse of the second input vector along the rows of the reference matrix RPU. A plurality of analog to digital converters are coupled to respective outputs of a plurality of summing junctions that receive respective column outputs of the first matrix RPU array, the second matrix RPU array, and the reference RPU array and provides a digital value of the output of the plurality of summing junctions.

Abstract: An apparatus for improved version updates in data deduplication includes a baseline module that stores a baseline referrer link in a first cohort of baseline referrer links pointing to a first location in storage where a baseline version data block is stored. The apparatus includes a signpost module that stores to metadata a signpost that points to an updated referrer link in a second cohort of updated referrer links that points to a second location in the deduplicating storage device where an updated version data block is stored in response to the updated version data block being generated. The apparatus includes a cohort update module that replaces the baseline referrer link with the updated referrer link in response to determining that an additional updated version data block matches the updated version data block pointed to by the signpost. A method and a system implement functions of the apparatus.

Abstract: A snapshot handler is registered with an event monitoring subsystem of a process virtual machine, the registering specifying a trigger event of the snapshot handler, wherein the trigger event comprises execution of a specified portion of an application executing in the process virtual machine, the trigger event specified externally from a source code of the application. Responsive to the event monitoring subsystem detecting an occurrence of the trigger event, the snapshot handler is executed, storing data of an execution state of the process virtual machine at a time of occurrence of the trigger event.

Abstract: An embodiment of a qubit tuning device includes a first layer configured to generate a magnetic field, the first layer comprising a material exhibiting superconductivity in a cryogenic temperature range. In an embodiment, the qubit tuning device includes a qubit of a quantum processor chip, wherein the first layer is configured to magnetically interact with the qubit such that a first magnetic flux of the first layer causes a first change in a first resonance frequency of the qubit by a first frequency shift value.

Abstract: A method, a computer program product, and a computer system predictively compensate for expected audio communication issues. The method includes determining conditions of a first device associated with a user. The method includes determining, based on the conditions, a first signal strength to a first network that the first device is currently connected in which to perform a communication and a second signal strength to a second network that the first device is configured to utilize in performing the communication. As a result of each of the first signal strength and the second signal strength not satisfying a minimum threshold individually, the method includes generating an overall signal having an overall signal strength by layering the first network over the second network. The overall signal strength has a comparatively greater signal strength than the first signal strength and the second signal strength. The method includes performing the communication using the overall signal.

Abstract: A computer-implemented method for transferring changes made to data from a data source to a data destination may be provided. The method involves using a message broker with streaming channels for transferring data changes from a data source to a data consumer. To determine if data has changed, a portion of data labeled with a key is sent through a hash function. A hash value with the corresponding key that has already been sent to the data consumer is retrieved from a streaming channel and compared to the newly created hash value. If the newly created hash value is different the data is sent to data consumers by the message broker via one streaming channel, while the new hash value is stored in the other streaming channel.

Abstract: An apparatus includes multiple signal paths for signal transmission, and control circuitry. The multiple signal paths include a first signal path and a second signal path. The first signal path is configured to convert a digital baseband signal to a first radio frequency (RF) signal having a first frequency and a first gain. The second signal path is configured to convert a digital baseband signal to a second RF signal having a second frequency and a second gain, wherein the second gain is less than the first gain. The control circuitry is coupled to the plurality of signal paths and is configured to receive one or more control signals to enable selective activation of at least one signal path of the plurality of signal paths.

Abstract: A method for encoding dot-matrix product information method includes identifying, via a processor, a dot-matrix grid size. The method further includes evaluating, via the processor, one or more dot pattern variation levels. In some aspects, the method includes retrieving, via the processor, an encoding structure indicative of a plurality of product information attributes. The method also includes determining, via the processor, whether an alpha-numeric digit at a dot pattern variation level can include a plurality of product information. The method further includes outputting, via the processor, a dot pattern code map. In some aspects, the dot pattern code map is indicative of a relationship between each of the product information attributes and the plurality of values for each of the product information attributes.

Abstract: A data storage library system includes a data storage library, at least one environmental conditioning unit, at least one data storage drive retained within the data storage library, and at least one access door for providing access to an interior portion of the data storage library. The system also includes a library controller, wherein the library controller is configured to initiate a service mode prior to and during a service procedure performed within the data storage library, and further wherein at least one operational state within the at least one data storage drive is changed during the service mode. The change in the at least one operational state may be, for example, an increase in temperature within the at least one data storage drive, or the insertion of a data storage cartridge into the at least one data storage drive during the service mode.

Abstract: Disclosed aspects relate to a structure which includes shape memory materials having transition triggers to transition the shape memory materials between initial states and transitioned states. A first physical shape of the structure exists when the first shape memory material has the first initial state and the second shape memory material has the second initial state. A second physical shape of the structure exists when the first shape memory material has the first transitioned state and the second shape memory material has the second initial state. A third physical shape of the structure exists when the first shape memory material has the first transitioned state and the second shape memory material has the second transitioned state. The physical shapes of the structure are reversible in nature. In embodiments, the shape memory materials are bonded to a flexible substrate or are clad together.

Abstract: An approach is provided for optimizing a system resource of a cloud database. Components of a database system are divided into micro-systems according to functions and execution levels. A cluster analysis of the micro-systems and an analysis of workload patterns are performed. Different combinations of the micro-systems are generated. Images of the micro-systems and of the different combinations of the micro-systems are generated. A query is received and analyzed at a current layer specifying a set of micro-systems specified by a function of the database system. Service(s) associated with micro-system(s) specified by next layer(s) are pre-loaded and activated. A partial execution of the query is performed and a result of the query is generated at a selected edge or client side, where the selection is based on the analysis of the workload patterns.

Abstract: Techniques are provided for training, by a system operatively coupled to a processor, an attention weighted recurrent neural network encoder-decoder (AWRNNED) using an iterative process based on one or more paragraphs of agent sentences from respective transcripts of one or more conversations between one or more agents and one or more customers, and based on one or more customer response sentences from the respective transcripts, and generating, by the system, one or more groups respectively comprising one or more agent sentences and one or more customer response sentences selected based on attention weights of the AWRNNED.

Abstract: In predictive natural disaster response, a server determines an affected location predicted to be affected by a natural disaster and determines whether the type of natural disaster requires relocation of an animal population at the affected location. When relocation is required, using machine learning models, the server generates a rehabilitation needs prediction for the relocation, determines an optimal location for the relocation from candidate locations, and generates a relocation plan to relocate the animal population from the affected location to the optimal location. When relocation is not required, using the machine learning models, the server generates a demands prediction for products and services at the affected location, generates a supply prediction for the products and the services at the affect location, and generates a supply plan using the demands and supply predictions.

Abstract: A method, system, and computer program product for enabling a digital search is provided. The method includes monitoring, in response to receiving authorization from a user, Web search results of a user, social media accounts, and media sources. In response data indicating an importance of world related factors with respect to the user is received. The data is analyzed with respect to results of the monitoring and an associated metadata model and modeling software application personalized for the user is generated. A search request associated with initiating a Web search for a product or service is initiated and the modeling software application is executed with respect to the metadata model and Web search. Personalized Web search results are generated and presented to the user. The personalized Web search results indicate entities associated with providing the product or service for the user via Internet based commerce Websites.

Abstract: A DBMS training subsystem trains a DBMS workload-manager model with training data identifying resources used to execute previous DBMS data-access requests. The subsystem integrates each request's high-level features and compile-time operations into a vector and clusters similar vectors into templates. The requests are divided into workloads each represented by a training histogram that describes the distribution of templates associated with the workload and identifies the total amounts and types of resources consumed when executing the entire workload.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate encoding a tree data structure into a vector based on a set of constraints are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a constraint former that can form a set of constraints based on a first tree data structure and a vector encoder that can encode the first tree data structure into a vector based on the set of constraints.

Abstract: A system is provided for recommending guidance instructions to a user. The system includes a memory having computer readable instructions and a processor for executing the computer readable instructions. The computer readable instructions control the processor to perform operations of monitoring an ongoing task comprising at least one act performed by a user, generating image data depicting the ongoing task, and displaying the ongoing task based on the image data. The system analyzes the ongoing task and generates an augmented image. The augmented image is overlaid on the image data so that the augmented image is displayed simultaneously with the ongoing task to direct the user to progress the ongoing task.

Abstract: In an embodiment, a method for controlling a database in a streaming application includes receiving, by a compute node, data for transmission as streaming data on a network connected to the compute node and a database. The compute node then assembles a body portion of a tuple to include the data and assembles a header portion of the tuple to include a database statement that identifies a change to be made by the database to an aspect of the database in a format that is identifiable by the database. The compute node then transmits the tuple having the header portion thereof and the body portion thereof on the network as streaming data with the header and body portions of the tuple being directed to the database.

Abstract: Embodiments relate to a system, program product, and method for leveraging cognitive systems to facilitate the management of word and image relationships in a combined vector space. More specifically, the system, computer program product, and method disclosed herein facilitate establishing one or more continuous semantic relationships with word vectors, sentence vectors, and image vectors within an image-word combined vector space with N-dimensional coordinates. In general, the word vectors, sentence vectors, and image vectors are generated within their respective domains that are resident within the image-word combined vector space. Such domains of word vectors, sentence vectors, and image vectors include inherent semantic relationships between respective members of each domain that facilitate establishing continuous, formal, virtual relationships between respective word vectors, image vectors, and sentence vectors within the image-word combined vector space.

Abstract: A solution is proposed for resource management of a software application including a plurality of software components interacting with each other. A corresponding method includes monitoring present conditions of the software components and estimating a future consumption of one or more computing resources by each software component from the present conditions of the software components; an allocation of the computing resources to the software components is then controlled accordingly. A computer program and a computer program product for performing the method are also proposed. Moreover, a system for implementing the method is proposed.