Abstract: A method includes training a recurrent neural network by monitoring data in a memory of a first server as the first server executes jobs and by determining an amount of computing resources used by the first server while executing the jobs and applying the recurrent neural network to data in the memory to predict an amount of computing resources that the first server will use when executing a first future job. The method also includes, in response to determining that execution of the first future job did not meet a performance criterion, making a change to the first server. The method further includes further training the recurrent neural network using a reinforcement learning technique, applying the recurrent neural network to determine that the change should be made to a second server, and in response, making the change to the second server before the second server executes a second future job.

Abstract: A method for retrieving a plurality of electronic images that includes obtaining images from a plurality of electronic storage sites. A first set of images containing a main protagonist is selected from the plurality of electronic images. An intent based image selection is performed from the first set of images. The intent based image selection includes tagging the first set of images with word tags identifying content of the images, creating a word cloud from the word tags, plotting the top word tags from the word cloud in a Venn diagram, and extracting images from the overlapping are of the Venn diagram.

Abstract: A method, computer system, and computer program product for optimizing a number of robots for operation of a process at a target system. The method may include providing a plurality of available robots to carry out tasks in the process at the target system. The method may monitor the target system by carrying out the process or part of the process with a varying number of robots to determine the processor utilization whilst the robots are executing a varying number of tasks. The method may balance process constraints of the execution of the process with physical system constraints of the target system by measuring a relationship between a number of tasks at a transactional level and the processor utilization. The method may output the optimized number of robots to be allocated for the process or part of the process.

Abstract: A computer system processes a query to retrieve credible search results. One or more data sources are searched to retrieve search results pertaining to the query. Analytics are performed on the search results to produce a score for the search results, wherein the score indicates credible information within the search results and the analytics include one or more from a group of natural language processing and emotion analytics. In response to the score indicating a lack of credible information within the search results, the search results are analyzed to determine a consensus within the search results, wherein the consensus indicates credible information within the search results. The credible information of the search results is presented. Embodiments of the present invention further include a method and program product for processing a query to retrieve credible search results in substantially the same manner described above.

Abstract: The illustrative embodiments provide concepts for processing a function call using a solid or ephemeral code, selected using a semaphore relating to an identifying feature of the function call. The concept may include: receiving a function call, wherein the function call comprises an identifying feature; queueing the function call in a queue; selecting, using a semaphore relating to the identifying feature of the function call, a code instance of a plurality of code instances for processing a queued function call, the plurality of code instances comprising: an ephemeral code instance, wherein the ephemeral code instance is adapted to process a single function call before being discarded; and a solid code instance, wherein the solid code instance is adapted to process a function call without being discarded; and processing the queued function call with the selected code instance.

Abstract: A method, system and computer program product for data backup based on a workload behavior includes a first computer identifying, using machine learning tools, data associated with frequently accessed files on the first computer by a workload being processed by a second computer. The first computer processes the identified data associated with the frequently accessed files to generate a list of frequently accessed files by the workload, and compares the list of frequently accessed files to backup policy rules active on the first computer. Based on the comparison, the first computer identifies a mismatch between the list of frequently accessed files and the backup policy rules, and specifies a new backup rule to update the backup policy rules for each identified mismatch between the list of frequently accessed files and the backup policy rules.

Abstract: A method for retrieving a plurality of electronic images that includes obtaining images from a plurality of electronic storage sites. A first set of images containing a main protagonist is selected from the plurality of electronic images. An intent based image selection is performed from the first set of images. The intent based image selection includes tagging the first set of images with word tags identifying content of the images, creating a word cloud from the word tags, plotting the top word tags from the word cloud in a Venn diagram, and extracting images from the overlapping are of the Venn diagram.

Abstract: Managing microservice changes and performing related analytics can include generating a plurality of process instance representations. Each process instance representation can be generated based on a corresponding process path that comprises an ordered sequence of operations that are performed by a process using multiple microservices. A microservices network representation can be constructed based on the plurality of process instance representations, each element of the microservices network corresponding to an interface between a pair of the microservices. Based on the microservices network representation, a relative frequency can be determined for each of the microservices, each relative frequency corresponding to a likelihood that a change in a microservice will affect the performance of at least one process using at least one of the microservices.

Abstract: A computer-implemented method includes identifying a theme for a poetic composition. The method also includes building a datastore of text taxonomies that provide associative differences between two words in a plurality of words. The method also includes analyzing the associative differences to determine a distance from a nexus for each of the plurality of words, wherein the nexus is determined according to the theme, and wherein the distance from the nexus to one of the plurality of words describes a suitability of the one of the plurality of words for use in the poetic composition for the theme. The method also includes determining at least one associative word according to the distance from the nexus. The method also includes determining a rhyming word from the plurality of words according to the at least one associative word.

Abstract: A computer system processes a query to retrieve credible search results. One or more data sources are searched to retrieve search results pertaining to the query. Analytics are performed on the search results to produce a score for the search results, wherein the score indicates credible information within the search results and the analytics include one or more from a group of natural language processing and emotion analytics. In response to the score indicating a lack of credible information within the search results, the search results are analyzed to determine a consensus within the search results, wherein the consensus indicates credible information within the search results. The credible information of the search results is presented. Embodiments of the present invention further include a method and program product for processing a query to retrieve credible search results in substantially the same manner described above.

Abstract: Provided is a method, computer program product, and system for adjusting a container-based application. A processor may receive one or more function calls at a container-based application. The processor may process the one or more function calls using the container-based application. The processor may obtain performance data from the container-based application based on the processing of the one or more function calls. The processor may analyze the performance data against a performance measure limit. The processor may adjust an aspect of the container-based application based on the analysis of the performance data. The aspect may be one or more selected from the group consisting of a resource and a functionality of the contain-based application.

Abstract: Finding care plan(s) matching desired aspects includes receiving a selection of a model care plan from a user; generating a feature hash vector representing the model care plan, resulting in a model feature hash vector; comparing feature hash vectors of existing care plans to the model feature hash vector to find care plan(s) best matching the desired aspect(s) of a user, resulting in best match(es); and providing one or more care plan recommendation(s) to the user based on the best match(es).

Abstract: A self-learning translation-engine brokering system characterizes a set of language-translation engines by associating each engine with values of a set of engine parameters. The system receives a request to translate text or speech input, along with a set of weightings that identify the relative importance of each engine parameter to the translation requester. The system formats the input into a quantifiable engine-agnostic form and performs an optimization procedure that finds the best fit between the source's weightings and the sets of engine parameters. The system directs the input to the best-fitting translation engine, receives the translated output from the selected engine, directs the output to the translation requester, and then determines how well the translated output meets user expectations. This feedback used to update the best-fitting engine's parametric values and to train the system to make more accurate selections in the future.

Abstract: Managing microservice changes and performing related analytics can include generating a plurality of process instance representations. Each process instance representation can be generated based on a corresponding process path that comprises an ordered sequence of operations that are performed by a process using multiple microservices. A microservices network representation can be constructed based on the plurality of process instance representations, each element of the microservices network corresponding to an interface between a pair of the microservices. Based on the microservices network representation, a relative frequency can be determined for each of the microservices, each relative frequency corresponding to a likelihood that a change in a microservice will affect the performance of at least one process using at least one of the microservices.

Abstract: A method, computer system, and computer program product for optimizing a number of robots for operation of a process at a target system. The method may include providing a plurality of available robots to carry out tasks in the process at the target system. The method may monitor the target system by carrying out the process or part of the process with a varying number of robots to determine the processor utilization whilst the robots are executing a varying number of tasks. The method may balance process constraints of the execution of the process with physical system constraints of the target system by measuring a relationship between a number of tasks at a transactional level and the processor utilization. The method may output the optimized number of robots to be allocated for the process or part of the process.

Abstract: A computer-implemented method includes identifying a theme for a poetic composition. The method also includes building a datastore of text taxonomies that provide associative differences between two words in a plurality of words. The method also includes analyzing the associative differences to determine a distance from a nexus for each of the plurality of words, wherein the nexus is determined according to the theme, and wherein the distance from the nexus to one of the plurality of words describes a suitability of the one of the plurality of words for use in the poetic composition for the theme. The method also includes determining at least one associative word according to the distance from the nexus. The method also includes determining a rhyming word from the plurality of words according to the at least one associative word.

Abstract: A set of workloads to be migrated is identified. A constraint on optimization of the set of workloads is determined. A subset of workloads to be migrated is selected from the set of workloads. A model is constructed, using traffic information corresponding to the set of workloads. The model includes a representation of a relationship between a first workload and a second workload in the subset of workloads. The model is solved to cause generation of a set of optimal flow values. A schedule for a migration wave is constructed. The schedule complies with the constraint on optimization of the set of workloads.

Abstract: A method, system and computer program product for data backup based on a workload behavior includes a first computer identifying, using machine learning tools, data associated with frequently accessed files on the first computer by a workload being processed by a second computer. The first computer processes the identified data associated with the frequently accessed files to generate a list of frequently accessed files by the workload, and compares the list of frequently accessed files to backup policy rules active on the first computer. Based on the comparison, the first computer identifies a mismatch between the list of frequently accessed files and the backup policy rules, and specifies a new backup rule to update the backup policy rules for each identified mismatch between the list of frequently accessed files and the backup policy rules.

Abstract: Provided is a method, computer program product, and system for adjusting a container-based application. A processor may receive one or more function calls at a container-based application. The processor may process the one or more function calls using the container-based application. The processor may obtain performance data from the container-based application based on the processing of the one or more function calls. The processor may analyze the performance data against a performance measure limit. The processor may adjust an aspect of the container-based application based on the analysis of the performance data. The aspect may be one or more selected from the group consisting of a resource and a functionality of the contain-based application.

Abstract: A service catalog system where patterns in a service catalog (respectively corresponding to various available services) are modified based on consumption data (that is, how other users have used the services in the past). Also, a service catalog system where a pattern is added to a service catalog based on consumption data. Some embodiments use artificial intelligence (AI), machine learning (ML), cognitive processing and/or advanced analytics to modify existing patterns and/or recommend new patterns to be added to the service catalog.