Abstract: A method for integrated circuit design with delay verification includes storing configuration files for a slew-rate Machine Learning (ML) model, a net-delay ML model and a cell-delay ML model. A user design is received, slew-rate feature values, net-delay feature values and cell-delay feature values are extracted from the user design, the configuration files are loaded to form inference cores, and operations of the slew-rate inference core are performed to calculate predicted slew-rate values that are sent to ML design tools. Operations of the net-delay inference core are performed to calculate predicted net-delay values that are sent to the ML design tools. Operations of the cell-delay inference core are performed to generate predicted cell-delay values that are sent to the ML design tools. The user design is iterated until a user design is obtained that is free of timing violations.

Abstract: A method for integrated circuit design with delay verification includes storing configuration files for a slew-rate Machine Learning (ML) model, a net-delay ML model and a cell-delay ML model. A user design is received, slew-rate feature values, net-delay feature values and cell-delay feature values are extracted from the user design, the configuration files are loaded to form inference cores, and operations of the slew-rate inference core are performed to calculate predicted slew-rate values that are sent to ML design tools. Operations of the net-delay inference core are performed to calculate predicted net-delay values that are sent to the ML design tools. Operations of the cell-delay inference core are performed to generate predicted cell-delay values that are sent to the ML design tools. The user design is iterated until a user design is obtained that is free of timing violations.

Abstract: A content delivery system using social affine targeting may include a device that determines, based on presence information received from mobile devices, users in a vicinity of an electronic billboard. The device may further determine, based on user behavior information relating to the users, affinities of the users; and determine commonality of the affinities of the users. Still further, the device may select, based on the determined commonality of the affinities, one or more advertisements to present by the electronic billboard; and transmit the selected one or more advertisements to the electronic billboard.

Abstract: An approach is provided for determining associations and/or propensity among the word occurrences during a therapy interaction for supporting a procedure. The approach involves parsing captured therapy interaction data to identify one or more word occurrences. The approach also involves determining one or more associations among the one or more word occurrences using a fuzzy association analysis and deep belief networks. The approach further involves determining a propensity of the one or more associations based on a probability analysis. The approach also involves specifying the one or more associations as evidence data for supporting a therapeutic outcome, a mental state classification, or a combination thereof.

Abstract: A device may include a memory to store control policies set for a network of smart grid devices connected to a power grid, the control policies including an energy consumption threshold associated with the network of smart grid devices; and a processor configured to obtain network content including energy consumption data associated with the network of smart grid devices, compare the energy consumption data to the energy consumption threshold associated with the network of smart grid devices, generate a first instruction with respect to energy consumption associated with network of smart grid devices, and generate a second instruction with respect to replenishment of unforced capacity associated with the network of smart grid devices.

Abstract: An approach for providing positioning services using multi-space clustering includes detecting sensor data across a plurality of sensor spaces for a device. The plurality of sensor spaces are associated with respective one or more sensor types. The approach also includes predicting a point propensity for the device to represent location data of the device based on the sensor data, and performing a clustering of the location data across the plurality of sensor spaces to generate a cluster graph of a physical space associated with the sensor data.

Abstract: An approach is provided for delegated classification and learning services. The approach involves receiving a request for a deployment of a sensor classification service to an environment, wherein the environment includes one or more sensors. The approach also involves packaging one or more classification operations associated with the sensor classification service into a virtualization container, wherein the one or more classification operations are for processing sensor data collected from the one or more sensors. The approach further involves deploying the virtualization container to a node that is local to the environment to perform the one or more classification operations locally in the environment.

Abstract: Wearable and snappable sensing devices may act to sense data associated with an environment of the user. A mobile device and the wearable/snappable device may together operate to provide an application for sensing environmental data associated with the user, analyzing the environmental data, and providing reports to the user. In one implementation, a mobile device may connect to an external sensing device; receiving, from the sensing device, environmental data sensed by the sensing device; provide, over a wide area network, a classification query to a remote classification service, the classification query being based on the sensed data; receive, from the classification server, classification results in response to the classification query; and provide, via a graphical display of the mobile computing device, a report based on the classification results.

Abstract: An approach is provided for determining associations and/or propensity among the word occurrences during a therapy interaction for supporting a procedure. The approach involves parsing captured therapy interaction data to identify one or more word occurrences. The approach also involves determining one or more associations among the one or more word occurrences using a fuzzy association analysis and deep belief networks. The approach further involves determining a propensity of the one or more associations based on a probability analysis. The approach also involves specifying the one or more associations as evidence data for supporting a therapeutic outcome, a mental state classification, or a combination thereof.

Abstract: An approach is provided for pharmacological classification. A pharmaceutical classification platform receives an input associated with a phase of a pharmaceutical development cycle. The pharmaceutical classification platform performs a folksonomic tagging of the input to identify a target pharmaceutical compound, a target pharmacological effect, a target pharmacological parameter, or a combination thereof; and constructs a classification query based on the folksonomic tagging. The pharmaceutical classification platform then initiates an application of the classification query to a pharmacological data set; and discovers one or more linkages associated with the target pharmaceutical compound, the target pharmacological effect, the target pharmacological parameter, or a combination thereof based on a result of the classification query.

Abstract: One or more network devices receive user criteria for providing anonymization of data from a user device and generate a default workflow for achieving the user criteria. The network devices provide, to the user device, the default workflow and receive user input to the default workflow. The network devices generate and send, based on the user input, final workflow instructions for transmitting data from the user device. The network devices also receive anonymized data transmitted from the user device based on the final workflow instructions. The network devices can provide trend observations of the anonymized data for use by third parties without granting access to the anonymized data.

Abstract: A system may be provided that comprises one or more servers to: receive information regarding known epitypes of malness, where the information includes malness scores and behaviors for the known epitypes of malness; store the information regarding the known epitypes of malness; generate rules for a model based on the information regarding the known epitypes of malness; input application data from an application on a device into the model; output a malness score from the model based on the application data; and allow the application and/or the device access to a network when the malness scores for the application is below a first threshold level, or block the application and/or the device access to the network when the malness score the application is above a second threshold level, where the first threshold level is less than the second threshold level.

Abstract: Wearable and snappable sensing devices may act to sense data associated with an environment of the user. A mobile device and the wearable/snappable device may together operate to provide an application for sensing environmental data associated with the user, analyzing the environmental data, and providing reports to the user. In one implementation, a mobile device may connect to an external sensing device; receiving, from the sensing device, environmental data sensed by the sensing device; provide, over a wide area network, a classification query to a remote classification service, the classification query being based on the sensed data; receive, from the classification server, classification results in response to the classification query; and provide, via a graphical display of the mobile computing device, a report based on the classification results.

Abstract: An approach for providing positioning services using multi-space clustering includes detecting sensor data across a plurality of sensor spaces for a device. The plurality of sensor spaces are associated with respective one or more sensor types. The approach also includes predicting a point propensity for the device to represent location data of the device based on the sensor data, and performing a clustering of the location data across the plurality of sensor spaces to generate a cluster graph of a physical space associated with the sensor data.

Abstract: An approach for providing folksonomic object scoring includes processing user content according to a folksonomic vocabulary to determine one or more mentions of a concept object in the user content. An initiation of the processing, an ending of the processing, an extent of the user content, or a combination thereof is based on a cost function. The approach also includes calculating an impact score for the concept object based on the one or more mentions.

Abstract: An approach for enabling contextual categories to be associated and scored in connection with a defined geographic region is described. An affinity determination platform identifies an anomaly in a score associated with at least one contextual category of a defined geographic region based on information related to the points-of-interest. The affinity determination platform generates an updated score to associate with the at least one contextual category based on the analysis of verification information related to the defined geographical region and associates the updated score with the contextual category.

Abstract: An approach for providing a predictive healthcare service includes generating an ensemble model for predicting one or more health classifications based on one or more health variables, the ensemble model consisting of a plurality of predictive models. The approach also includes tuning the ensemble model based on a test data set and providing a predictive healthcare service based on the ensemble model.

Abstract: An approach for determining and scoring driving quality in real-time while supporting various in-vehicle services and leveraging information associated with and related to the driving experience includes collecting, in real-time, a plurality of contextual parameters associated with a user, classifying driving behavior of the user based on the contextual parameters, wherein the driving behavior corresponds to operation of one or more vehicles by the user, and generating a driving profile for the user according to the classification.

Abstract: An approach for secured payment through anonymized settlement services without the use of physical trusted service management (TSM) devices includes receiving a payment request from a first user directed to a second user, wherein the payment request includes, at least in part, an abstracted identity of the first user, determining one or more payment accounts associated with the first user based, at least in part, on the abstracted identity, initiating a payment using the one or more payments accounts to the second user based on the payment request, and sending an acknowledgement message of the payment to the second user, wherein the acknowledgement message includes anonymized information associated with the payment.

Abstract: A system configured to receive a request to perform an electronic transaction associated with merchant equipment, where the request identifies one or more value-added services that are to be provided when the transaction is performed; retrieve workflow information, associated with a workflow that corresponds to the transaction, where the workflow information identifies how the transaction is to be performed and how the value-added services are to be provided; obtain information associated with one or more second server devices that provide the value-added services; instruct the second server devices to provide the value-added services, in a manner that conforms to the workflow information, based on the information associated with the one or more second server devices; perform the transaction in a manner that conforms to the workflow information; and transmit, to the merchant equipment, a notification that the transaction has been performed or that the value-added services have been provided.