Abstract: Techniques for estimating the number of distinct values in a data set using machine learning are provided. In one technique, a sample of a data set is retrieved where the sample is a strict subset of the data set. The sample is analyzed to identify feature values of multiple features of the sample. The feature values are inserted into a machine-learned model that computes a prediction regarding a number of distinct values in the data set. An estimated number of distinct values that is based on the prediction is stored in association with the data set.

Abstract: A chatbot may be invoked in an online communication session between two or more human users to share additional content in the communication session. To determine when to invoke the chatbot, e.g., at which point during their conversation, an interaction model may be trained on past conversation data between participants to determine so-termed interaction points in the past conversation data which are predictive of a subsequent sharing of additional content by one of the participants. Having generated the interaction model, the interaction model may be applied to an online communication session to detect such interaction points in a real-time or near real-time conversation between users and to invoke the chatbot to participate in the communication session in response to a detection.

Abstract: A system and process for coordinating streaming content or messages is provided. A network-connected server maintains a database containing media content-related data, such as the text of a message, accompanying media, time of airing, payment and related comments. A user can view these feeds or streams of these consciousness messages by downloading a mobile application or browsing to a website. The application can also be used to create, schedule and pay for a media content message.

Abstract: Techniques and systems for providing a trend server outside a content provider network to communicate with the content provider network to build a trend record based on responses received from the content provider network for monitoring certain activity trend or tendency in the content provider network and provide an alert when the content provider network behaves abnormally.

Abstract: A loose coupling between Internet of Things (“IoT”) devices and environmental sensors is generated. Once the loose coupling has been generated, conditions in a physical environment can be managed utilizing the loosely coupled devices. For example, a hybrid machine learning/expert system can be utilized to activate the IoT devices in an environment to achieve a desired condition in an optimized manner.

Abstract: The present disclosure relates to an automotive virtual personal assistant configured to provide intelligent support to a user, mindful of the user environment both in and out of a vehicle. Further, the automotive virtual personal assistant is configured to contextualize user-specific vehicle-based and cloud-based data to intimately interact with the user and predict future user actions. Vehicle-based data may include spoken natural language, visible and infrared camera video, as well as on-board sensors of the type commonly found in vehicles. Cloud-based data may include web searchable content and connectivity to personal user accounts, fully integrated to provide an attentive and predictive user experience. In contextualizing and communicating these data, the automotive virtual personal assistant provides improved safety and an enhanced user experience.

Abstract: In some implementations, a system adaptively adapts engagement between a user and an application based on prior user interactions and context data associated with the user. A performance category for which performance is tracked for a user of the application is initially identified. Context data indicating a current context of the user is received from a client device associated with the user. One or more responsiveness scores indicating actions of the user with respect to the performance category following the previous communications through the application are determined. A communication is then selected from among communications of multiple types based on the context data for the user and the one or more responsiveness scores for the user. A time to provide the communication to the user is determined based on the context data. The selected communication is provided for output by the client device at the determined time.

Abstract: Some embodiments provide a method for configuring a gateway machine in a datacenter. The method receives a definition of a logical network for implementation in the datacenter. The logical network includes at least one logical switch to which logical network endpoints attach and a logical router for handling data traffic between the logical network endpoints in the datacenter and an external network. The method receives configuration data attaching a third-party service to at least one interface of the logical router via an additional logical switch designated for service attachments. The third-party service is for performing non-forwarding processing on the data traffic between the logical network endpoints and the external network. The method configures the gateway machine in the datacenter to implement the logical router and redirect at least a subset of the data traffic between the logical network endpoints and the external network to the attached third-party service.

Abstract: Example techniques for adaptive time window-based log message deduplication are described. In an example, message values are obtained from received log messages. Further, the number of log messages received in a time window having a message value is counted. A log message from which the message value is obtained and the counted number are transmitted upon expiry of the time window. A length of a time window in which a subsequent counting of log messages is to be performed is determined based on various parameters.

Abstract: A system and a method determine a value for a parameter. Reference values for the parameter are determined from a group of objects. A first technique is used by the system for determining for each object the reference value from a first set of data. A learning dataset is created by associating for each object of the group of objects a second set of data and the reference value. The second set of data is acquired by the system according to a second technique for determining values of the parameter and is configured for enabling a determination of the parameter. A machine learning technique trained on the learning dataset is used for determining a value of the parameter. The second set of data obtained for each of the objects is used as input in a machine learning algorithm and its associated reference value is used as output target.

Abstract: Method of distributing data from a transmitting electronic device to multiple receiving electronic devices is performed. The method comprises receiving, at the transmitting electronic device, an incoming signal and data, the data being intended to be processed by a plurality of geographically distributed receiving electronic devices; and jointly transmitting the incoming signal and the data from the transmitting electronic device to the receiving electronic devices over a communication network. The communication network is a broadcast or multicast network and each receiving electronic device is capable of receiving said incoming signal from the transmitting electronic device over the communication network. One or more instructions for performing, at the receiving electronic devices, computing operations on the data are transmitted from the transmitting electronic device to the receiving electronic devices over the communication network and/or over an IP network.

Abstract: A system, method, and computer program product are provided for parental controls and recommendations based on artificial intelligence. In use, using an artificial intelligence (AI) server, explicit input is received associated with a first presentation of media. Additionally, the AI server is trained based on the explicit input, and using the AI server, implicit filters are created based on the training. Further, using the AI server, the implicit filters are applied to a second presentation of the media.

Abstract: In an information collection system, an address posting unit posts address information of a hidden service provided by a hidden service providing system to a server serving as a posting target server. Then, the hidden service providing system provides a hidden service appropriate to a hidden service request received from a user terminal to the user terminal. After that, an information collection unit collects information (e.g., input request information, service result information, etc.) about the hidden service provided by the hidden service providing system.

Abstract: A method for obtaining segment routing over Internet Protocol version 6 data plane (SRv6) tunnel information of Internet Protocol version 6 segment routing, including sending, by a first network device, a request packet to a second network device, where the request packet is used to request to detect reachability of an SRv6 tunnel and obtain SRv6 tunnel information of the second network device, and the second network device is a network device on the SRv6 tunnel, receiving, by the first network device, a response packet from the second network device, where the response packet includes the SRv6 tunnel information of the second network device, and obtaining, by the first network device, the SRv6 tunnel information of the second network device based on the response packet.

Abstract: Systems and methods include a method for anonymizing users in the cloud. A data storage anonymity level is determined for each user storing data in the cloud. A determination is made whether the data storage footprint size is outside of a data storage footprint size range relative to other users. The data storage anonymity level of the first user is increased by reallocating data storage of other users to change the data storage footprint size of the other users. A connection anonymity level is determined for each user in the group storing data in the cloud. A determination is made whether the data access rate of the second user is outside of a data access rate range relative to data access rates of other users. The connection anonymity level of the second user increased by adjusting data access rates of other users.

Abstract: An electronic healthcare system for delivering medical services is described. The electronic healthcare systems can includes modules for accessing patient electronic medical records and ordering medical services, which involve HL7 communications between disparate healthcare organizations. The communications can involve custom communication interfaces which are used to parse and translate HL7 messages. Methods and apparatus are described for generating the custom communications interfaces. In one embodiment, the custom communication interfaces can be generated using machine learning algorithms trained to recognize various data types in message segments contained in HL7 messages.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to configure the processor to implement a cognitive service for cognitive model tuning with rich deep learning knowledge. The mechanism performs a first model training operation and records training data set and hyperparameter information for the model in a database. The mechanism performs a model testing operation using a testing data set and records metric values that result from the model testing in the database. For a next model training operation for a given model, the mechanism performs an anomalies check for the given model. The mechanism performs a difference comparison on the training data set, hyperparameter information, and the metric values. The mechanism generates a recommendation of a training data set and hyperparameters for the next model training operation. The mechanism performs the next model training operation.

Abstract: Some embodiments provide a system that detects whether a data flow is an elephant flow; and if so, the system treats it differently than a mouse flow. The system of some embodiments detects an elephant flow by examining, among other items, the operations of a machine. In detecting, the system identifies an initiation of a new data flow associated with the machine. The new data flow can be an outbound data flow or an inbound data flow. The system then determines, based on the amount of data being sent or received, if the data flow is an elephant flow. The system of some embodiments identifies the initiation of a new data flow by intercepting a socket call or request to transfer a file.

Abstract: The disclosure relates to system and method for facilitating designing of an Internet of Things (IoT) infrastructure for deploying an IoT application. The method includes determining a Manhattan distance between each of a plurality of existing requirements and a new requirement, identifying one or more of the plurality of existing requirements corresponding to a minimum Manhattan distance, determining a relevancy score for each of the one or more identified existing requirements based on a similarity between the each of the one or more identified existing requirements and the new requirement, and providing one or more IoT components and one or more IoT designs corresponding to a similar existing requirement for facilitating designing of the IoT infrastructure. The similar existing requirement comprises one of the one or more identified existing requirement with a maximum relevancy score.

Abstract: One or more configuration parameters for an object gateway instance are received at an interface to a provider network, the parameters including an identifier of a first object store of the provider network for which to cache objects in a first object cache of the object gateway instance and an indication of a data transfer mode that controls when objects written to the first object cache are written to the first object store. The one or more configuration parameters are stored in a data store of the provider network and sent to the object gateway instance. A read request that includes the identifier of the first object store and a first object identifier is received from the object gateway instance, and a first object associated with the first object identifier and stored in the first object store is sent to the object gateway instance.