Abstract: Isolated peptides targeting cardiovascular disease are described herein or one or more conservative amino acid substitutions, deletions or additions of such peptides and methods of use thereof for delivering payloads to specific cell types or tissues.

Abstract: Methods, devices, and systems related to storing parity data in dynamic random access memory (DRAM) are described. In an example, a method can include generating, at a controller, parity data based on user data queued for writing to a non-volatile memory device, receiving the parity data at a DRAM device from the controller and writing the parity data to the DRAM device, receiving the user data at a non-volatile memory device from the controller and writing the user data to the non-volatile memory device, reading the user data from the non-volatile memory device via the controller, and receiving the parity data at the controller from the DRAM device.

Abstract: Systems, methods, and computer program products for identifying a fraudulent device. A device analytics engine receives device data from a computing device, the device data including parameters associated with the computing device. The device analytics engine selects a set of rules in a plurality of rules that indicate at least one parameter in the plurality of parameters in the device data for determining a device identifier. The set of rules are evaluated in an order until the device identifier is determined from the at least one parameter indicated in the set of rules, the device data, and previously stored data from multiple computing devices. A score is generated for the computing device using one or more of the device identifier, device data, a set of rules, and previously receive device data that corresponds to the device identifier. A computing device is identified as a fraudulent computing device based on the score.

Abstract: Using a first trained generative adversarial network, a first multimedia content is transformed into a text description of the first multimedia content. The text description is adjusted according to a constraint using a trained attention layer, the adjusting creating an adjusted text description. Using a trained model, the adjusted text description is transformed into a second multimedia content, the second multimedia content comprising an adjustment of the first multimedia content according to the constraint.

Abstract: The disclosure relates to a method and system of selectively deploying an application for facilitating quality-of-experience (QoE) in terms of streaming multimedia content in a networking environment comprising a user-equipment (UE) and a networking node provided with a predictive analysis module. The method comprises: capturing parameters pertaining to UE from at least one of a version of the predictive analysis module with respect to the UE, a current processor occupancy within the UE, a power-level within the UE, network conditions pertaining to the access network etc. One or more of the captured parameters and the observed network conditions is analyzed. Based on analysis, inference is drawn for selecting between the predictive analysis model of the UE and of the networking node for thereby enabling a customized streaming of multimedia content at the UE.

Abstract: Systems and methods for determining molecular structures based on atomic-orbital-based features are described. Atomic-orbital-based features can be utilized in combination with machine-learning methods to predict accurate properties, such as quantum mechanical energy, of molecular systems.

Abstract: One or more computer processors create a user-event localization model for an identified remote audience member in a plurality of identified remote audience members for an event. The one or more computer processors generate a virtual audience member based the identified remote audience member utilizing a trained generated adversarial network and one or more user preferences. The one or more computer processors present the generated virtual audience member in a location associated with the event. The one or more computer processors dynamically adjust a presented virtual audience member responsive to one or more event occurrences utilizing the created user-event localization model.

Abstract: Systems and methods are disclosed for scalable bucket merging in a data intake and query system. Various components of a bucket manager can be used to monitor recently-created buckets of data in common storage that are associated with a particular tenant and a particular index, apply a comprehensive bucket merge policy to determine groups of buckets that qualify for merging, merge those group of buckets into merged buckets to be stored in the common storage, and update any information associated with the merged buckets and pre-merged buckets. These components may be shared across multiple tenants, and some of these components may be dynamically scalable based on need. This approach may also provide many additional benefits, including improved search performance from merged buckets, efficient resource utilization associated with discriminate merging, and redundancy in case of component failure.

Abstract: A computer receives a list of reference topics from a topic database and a set of articles related to said reference topics. The computer generates article n-grams and compares them to the reference topics using NLP to determine a primary theme for each article that corresponds to one of reference topics. The computer collects articles with common primary themes into at least one article group and determining an article comparison value between articles in the article group. Responsive to determining that an article comparison value is below a predetermined similarity threshold, determining a distinguishing feature associated with one of the compared articles that contributed to the article comparison value. The computer assigns articles having the distinguishing feature into a secondary group based, at least in part, on the distinguishing feature.

Abstract: One or more computer processors create a user-event localization model for an identified remote audience member in a plurality of identified remote audience members for an event. The one or more computer processors generate a virtual audience member based the identified remote audience member utilizing a trained generated adversarial network and one or more user preferences. The one or more computer processors present the generated virtual audience member in a location associated with the event. The one or more computer processors dynamically adjust a presented virtual audience member responsive to one or more event occurrences utilizing the created user-event localization model.

Abstract: In some examples, a database system includes a memory to store a predicate-object name cache, where the predicate-object name cache contains predicates mapped to respective object names. The database system further includes at least one processor to receive a query containing a given predicate, identify, based on accessing the predicate-object name cache, one or more object names indicated by the predicate-object name cache as being relevant for the given predicate, retrieve one or more objects identified by the one or more object names from a remote data store, and process the query with respect to data records of the one or more objects retrieved from the remote data store.

Abstract: An embodiment calculates a point of view (POV) value for a subportion of an item of media content, including evaluating user inputs related to an automatically detected POV of the subportion of the item. The embodiment also calculates a non-factual cost for the subportion of the item indicative of an amount of the subportion of the item that lacks support in a fact-based corpora. The embodiment also performs a cascaded summarization process comprising generating a summary of the item using the subportion of the item and a summarization technique, analyzing the summary using a fact-checking algorithm to determine whether the summary satisfies a factual score threshold, and performing a next iteration of the cascaded summarization process while the summary fails to satisfy the factual score threshold. The embodiment also communicates a summary satisfying the factual score threshold to a user device.

Abstract: An air conditioner unit includes a blower fan, an inlet grille upstream of the blower fan, and an outlet grille downstream of the blower fan. The air conditioner unit also includes an air filter positioned between the inlet grille and the outlet grille with a belt encircling and enclosing the air filter on four sides. The air conditioner unit further includes a motor operatively connected to the belt. The motor is configured to rotate the belt around the air filter and thereby clean the air filter.

Abstract: A furnace with a condensing heat exchanger and a pH sensor, and a method of monitoring the furnace are provided. The furnace may include a condensate collector box and/or a condensate trap. At least one of the condensate collector box and/or the condensate trap may include pH sensor (e.g., disposed within the respective component). The pH sensor is configured to measure a pH level of the condensate from the condensing heat exchanger. The furnace may include a control board configured to receive the pH level from the pH sensor. The control board may be configured to trigger a notification and/or change the operation of the furnace (e.g., to dilute the condensate) based on the received pH level. The notification may include at least one of: an illumination of an indicator disposed on the furnace, and a transmission of a signal to a communicating device such as a thermostat.

Abstract: An embodiment of the invention may include a method, computer program product, and computer system for managing a machine learning algorithm. The embodiment may include a computing device that distributes a first algorithm to a plurality of computing devices. The embodiment may include updates to the first algorithm, to create a second algorithm, by a first device of the plurality of computing devices. The first device is grouped with other devices in a first cluster of devices of the plurality of computing devices. The first cluster of computing devices comprises more than one computing device. Updating the first algorithm is performed based on information shared amongst the first cluster of devices.

Abstract: Methods are presented for providing dynamic search filter suggestions that are updated and ranked based on the user filter selections. One method includes detecting a query received in a user interface (UI), calculating, by a search-candidate model, first search results, and calculating, by a suggestions model, first filter suggestions for filter categories to filter responses to the query. The suggestions model is obtained by training a machine-learning algorithm utilizing pairwise learning-to-rank modeling. The first search results and the first filter suggestions are presented in the UI. When a selection in the UI of a filter suggestion is detected, the search-candidate model calculates second search results for the filter categories based on the query and the selected filter suggestion, and the suggestions model calculates second first filter suggestions based on the query and the selected filter suggestion. The second search results and the second filter suggestions are presented in the UI.

Abstract: A computer-implemented method and system for autonomic cloud to edge compute allocations in a sports fantasy league trade transaction. The computer implemented method includes, in one embodiment, calculating, based on an expected return associated with each player on each of a plurality of teams in a fantasy sports league, a valuation for each player. An embodiment includes determining a positional need for each of the plurality of teams in the fantasy sports league, and determining, based on the valuation for each player and the positional need for each team, one or more players to include in a trade with another team of the plurality of teams.

Abstract: The disclosed technologies include a navigation agent for a search interface. In an embodiment, the navigation agent uses reinforcement learning to dynamically generate and select navigation options for presentation to a user during a search session. The navigation agent selects navigation options based on reward scores, which are computed using implicit and/or explicit user feedback received in response to presentations of navigation options.

Abstract: An application can be converted to new programming language or framework. A source application written for a legacy framework is analyzed and divided into smaller segments of code. The smaller segments are evaluated for quality in view of best practices design for writing applications. A rubric is determined for each segment and compared to a best practice threshold. Segments can be evaluated for features that can be passed through a model. The model converts the features into new code adapted for target framework. Machine learning and rules databases are updated with details of the conversion.

Abstract: A software defined network (SDN) switch of a communication network includes a memory and a processor operatively coupled to the memory. The SDN switch receives a media access control security (MACsec) frame of power system data. The SDN switch detects an SDN flow match based at least in part on a port identifier of the MACsec frame. The SDN switch performs an action based on the SDN flow match.