Abstract: Systems and methods are provided for detecting a driving action that mitigates risk.

Abstract: Systems and methods for providing AI-based relocation cost estimates for services and products are disclosed. The method may comprise receiving description data of a location, the description data generated via at least one or more of a camera, a user interface, and/or one or more environment sensors. The method may generate an inventory list comprising a plurality of items, utilizing the machine learning model, based on the description data, the inventory list further comprising inventory attributes associated with the plurality of items related to a context of the plurality of items in the location. The method may generate, utilizing the machine learning models, one or more interactive quotes for relocation cost estimates comprising at least one or more offers for products and/or services based on the plurality of items in the inventory list and the inventory attributes.

Abstract: Systems and methods are provided for detecting a driving action that mitigates risk.

Abstract: Systems and methods are provided for detecting a driving action that mitigates risk.

Abstract: Systems, methods and computer-readable media are disclosed for generating integrated data records by correlating source data records stored at different registry source data repositories. A set of source data records is retrieved based on execution of one or more search queries against a set of registry source data repositories. A data record matching rule is selected for execution on the set of source data records. The matching rule specifies one or more input properties, each of which specifies at least one data field designator, and optionally, a matching algorithm and an input property match threshold value. The matching rule is executed on pairwise combinations of source data records to obtain a set of matched source data records. An integrated data record is generated and populated with respective data from each of one or more of the matched source data records. The integrated data record is linked to each source record.

Abstract: Systems and methods for providing AI-based relocation cost estimates for services and products are disclosed. The method may comprise receiving description data of a location, the description data generated via at least one or more of a camera, a user interface, and/or one or more environment sensors. The method may generate an inventory list comprising a plurality of items, utilizing the machine learning model, based on the description data, the inventory list further comprising inventory attributes associated with the plurality of items related to a context of the plurality of items in the location. The method may generate, utilizing the machine learning models, one or more interactive quotes for relocation cost estimates comprising at least one or more offers for products and/or services based on the plurality of items in the inventory list and the inventory attributes.

Abstract: Systems, methods and computer-readable media are disclosed for generating integrated data records by correlating source data records stored at different registry source data repositories. A set of source data records is retrieved based on execution of one or more search queries against a set of registry source data repositories. A data record matching rule is selected for execution on the set of source data records. The matching rule specifies one or more input properties, each of which specifies at least one data field designator, and optionally, a matching algorithm and an input property match threshold value. The matching rule is executed on pairwise combinations of source data records to obtain a set of matched source data records. An integrated data record is generated and populated with respective data from each of one or more of the matched source data records. The integrated data record is linked to each source record.

Abstract: Disclosed are examples in which the acknowledgement channel is used for retransmitting a frame received with error. A receiver is configured to transmit an acknowledgment for a frame when the frame is decoded following receipt of the last Pilot Control Group (PCG) of the same frame. The transmitter is configured to receive the acknowledgment of an earlier frame during a subsequent frame, and not to retransmit the earlier frame. The two frames may be adjacent. During connection setup negotiation, the system can determine the values of ack_mask1 defining allowed times for the receiver to acknowledge successful decoding of the subsequent frame, and ack_mask2 defining allowed times for the receiver to acknowledge successful decoding of the earlier frame. The two mask values provide non-overlapping allowed times, so the receiver can acknowledge within the subsequent frame (1) successful decoding of the earlier frame, and (2) successful decoding of the subsequent frame.

Abstract: Systems, methods and computer-readable media are disclosed for generating integrated data records by correlating source data records stored at different registry source data repositories. A set of source data records is retrieved based on execution of one or more search queries against a set of registry source data repositories. A data record matching rule is selected for execution on the set of source data records. The matching rule specifies one or more input properties, each of which specifies at least one data field designator, and optionally, a matching algorithm and an input property match threshold value. The matching rule is executed on pairwise combinations of source data records to obtain a set of matched source data records. An integrated data record is generated and populated with respective data from each of one or more of the matched source data records. The integrated data record is linked to each source record.

Abstract: Systems, methods and computer-readable media are disclosed for generating integrated data records by correlating source data records stored at different registry source data repositories. A set of source data records is retrieved based on execution of one or more search queries against a set of registry source data repositories. A data record matching rule is selected for execution on the set of source data records. The matching rule specifies one or more input properties, each of which specifies at least one data field designator, and optionally, a matching algorithm and an input property match threshold value. The matching rule is executed on pairwise combinations of source data records to obtain a set of matched source data records. An integrated data record is generated and populated with respective data from each of one or more of the matched source data records. The integrated data record is linked to each source record.

Abstract: A method for managing synapse plasticity in a neural network includes converting a first set of synapses from a plastic synapse type to a fixed synapse type. The method may also include converting a second set of synapses from the fixed synapse type to the plastic synapse type.

Abstract: Methods and apparatus are provided for effecting modulation using global scalar values in a spiking neural network. One example method for operating an artificial nervous system generally includes determining one or more updated values for artificial neuromodulators to be used by a plurality of entities in a neuron model and providing the updated values to the plurality of entities.

Abstract: Certain aspects of the present disclosure provide methods and apparatus for creating tags (static or dynamic) for input/output classes of a neural network model using supervised learning. The method includes augmenting a neural network model with a plurality of neurons and training the augmented network using spike timing dependent plasticity (STDP) to determine one or more tags.

Abstract: A method for managing synapse plasticity in a neural network includes converting a first set of synapses from a plastic synapse type to a fixed synapse type. The method may also include converting a second set of synapses from the fixed synapse type to the plastic synapse type.

Abstract: A method for generating a histogram in a spiking neural network includes counting spikes associated with a latency encoded representation of an object. The method also includes generating the histogram based on the spike count.

Abstract: A method for pattern recognition in a spiking neural network robust to initial network conditions includes creating a set of diverse neurons in a first layer to increase a diversity in a set of spike timings. An input corresponding to a pattern plus noise is presented at an input layer and represented as spikes. The spikes are received at the first layer and spikes are produced at the first layer based on the received spikes. The method also includes updating a weight of each synapse between an input layer neuron and an output layer neuron based on a spike timing difference between a spike at the input layer neuron and a spike at the output layer neuron. Further, the method includes classifying a spike pattern represented by a set of inter-spike intervals, regardless of noise in the spike pattern.

Abstract: A method for providing diversity in a set of neurons in a neuron model includes retrieving a set of parameters for the set of neurons. The method also includes perturbing the set of parameters based on a neuron identification value, a level of perturbation for each parameter and/or parameter values.

Abstract: Methods and apparatus are provided for effecting modulation using global scalar values in a spiking neural network. One example method for operating an artificial nervous system generally includes determining one or more updated values for artificial neuromodulators to be used by a plurality of entities in a neuron model and providing the updated values to the plurality of entities.

Abstract: Certain aspects of the present disclosure provide methods and apparatus for creating tags (static or dynamic) for input/output classes of a neural network model using supervised learning. The method includes augmenting a neural network model with a plurality of neurons and training the augmented network using spike timing dependent plasticity (STDP) to determine one or more tags.

Abstract: A method for synchronizing a wireless communication system is disclosed. A silence duration for a base station is determined based on the time required for a neighbor base station to obtain or maintain synchronization. All transmissions from the base station are ceased for the silence duration. Multiple base stations level may cease transmissions at the same time, thus mitigating interference.