Abstract: A method to transcribe communications is provided. The method may include obtaining first communication data during a communication session between a first communication device and a second communication device and transmitting the first communication data to the second communication device by way of a mobile device that is locally coupled with the first communication device. The method may also include receiving, at the first communication device, second communication data from the second communication device through the mobile device and transmitting the second communication data to a remote transcription system. The method may further include receiving, at the first communication device, transcription data from the remote transcription system, the transcription data corresponding to a transcription of the second communication data, the transcription generated by the remote transcription system and presenting, by the first communication device, the transcription of the second communication data.

Abstract: An application management apparatus for controlling tasks, including a task split and response merge circuit configured to divide an application into a plurality of tasks and associate respective Key Performance Indicator (KPI) attributes to the plurality of tasks; and a task management circuit configured to allocate each of the plurality of tasks to a first or second Radio Access Technology (RAT) based on the KPI attributes, and to derive a plurality of task responses from the first or second RATs to which the respective plurality of tasks are allocated, wherein the task split and response merge circuit is further configured to merge the task responses to select the first or second RAT to run the application.

Abstract: A system and method for identifying a customer's location at a business and provide notification to a company representative upon arrival of the customer at the business location. Real-time location determinations for the customer and customer location tracking can be provided. One or more wireless beacons communicate with the customer's electronic device. The beacons provide the system with real-time data about the customer's whereabouts, allowing for the confirmation and tracking of the customer at the location. A first non-limiting example of use, include a company that provides food and beverage allowing the customer to place an order for food and beverages on their electronic device and having the order delivered to the person at their current location as determined by the system. Another non-limiting example includes a company using the notification system to have assigned staff members notified of the customer's arrival.

Abstract: A wireless earphone comprises a transceiver circuit for receiving streaming audio from a data source over a local ad hoc wireless network. When the data source and the earphone are out of range, they transition automatically to an infrastructure wireless network. If there is no common infrastructure wireless network for both the data source and the speakerphone set, the earphone connects to a host server via an available wireless network.

Abstract: Computer-implemented techniques for managing transactions of machine learning algorithm updates are described. In one embodiment, a computer-implemented is provided that comprises receiving, by a system operatively coupled to a processor, a request for an update to a machine learning model associated with a software program, wherein the request is received in accordance with a defined blockchain protocol, and wherein the request comprises model development data used in association with optimization of an instance of the machine learning model. The method further comprises, employing, by the system, a blockchain network to facilitate managing fulfillment of the request.

Abstract: Computer systems, methods and program products for automating pseudonymization of personal identifying information (PII) using machine learning, metadata, and crowdsourcing patterns to identify and replace PII. Machine learning models are trained for classifying known column names or key names for processing, using metadata. Column or key names are classified to be unprocessed, anonymized or pseudonymized by a pseudonymizer without revealing PII or scrubbing data into a useless format. A library of crowdsourced patterns are utilized for matching PII to data values within column or key names and PII is mapped to replacement methods. Feedback from user annotations retrains the algorithms to improve classification accuracy and Deep Learning algorithms automate the identification of PII using regular expression generation to concisely articulate how pseudonymizers search for PII patterns within a data set.

Abstract: This disclosure provides systems and methods for providing an emergency alert notification. An electronic communication device can receive, from an alert generation device, a low power advertising packet responsive to an action performed on the alert generation device. Before the action is performed, the alert generation device can be in a low power state, such as a sleep state, to conserve battery. The action can cause the alert generation device to transition from the low power state to a second state in which the alert generation device begins transmitting the advertising packet. The electronic communication device can identify at least one emergency contact to receive an alert based on a contact policy and can determine an alert type based on the contact policy. The electronic communication device can generate the alert including a request for assistance and can transmit the alert to the at least one emergency contact.

Abstract: This disclosure provides systems, methods, and apparatus, including computer programs encoded on computer-readable media, for priority access on a shared wireless channel. A priority station (STA), an access point (AP), or a network operator may activate a priority access service. The priority access service provides priority access to authorize priority STAs by allowing them to use more aggressive contention parameters for contention-based access of the wireless channel as compared to other STAs. In some implementations, non-priority STAs may be configured with weakened contention parameters to increase or ensure the likelihood that a priority STA will win contention for access to the wireless channel.

Abstract: Methods and systems for determining a displacement of a peripheral device are provided. In one example, a peripheral device comprises: an image sensor, and a hardware processor configured to: control the image sensor to capture a first image of a surface when the peripheral device is at a first location on the surface, the first image comprising a feature of the first location of the surface; execute a trained machine learning model using data derived from the first image to estimate a displacement of the feature between the first image and a reference image captured at a second location of the surface; and determine a displacement of the peripheral device based on the estimated displacement of the feature.

Abstract: Various embodiments of the present technology generally relate to data delivery. More specifically, some embodiments of the present technology relate to systems and methods for using spatial and temporal analysis to associate data sources with mobile devices. The delivery of data to support a wide variety of services for and about mobile devices that are based on data stored in corporate, commercial, and government databases which is not currently linked to individual mobile devices. Some embodiments allow advertisers to better target their ads to relevant target audience with greater accuracy.

Abstract: A method of training a machine learning system. The method comprises collecting a first simulation dataset derived from a computer simulating a hypothetical scenario with a first simulation configuration having a first degree of fidelity. The method further comprises collecting a second simulation dataset derived from a computer simulating the hypothetical scenario with a second simulation configuration having a second degree of fidelity different than the first degree of fidelity. The method further comprises building a multi-fidelity training dataset including training data from both the first simulation dataset and the second simulation dataset according to an interleaving protocol.

Abstract: Implementations are described herein for analyzing a sequence of digital images captured by a mobile vision sensor (e.g., integral with a robot), in conjunction with information (e.g., ground truth) known about movement of the vision sensor, to determine spatial dimensions of object(s) and/or an area captured in a field of view of the mobile vision sensor. Techniques avoid the use of visual indicia of known dimensions and/or other conventional tools for determining spatial dimensions, such as checkerboards. Instead, techniques described herein allow spatial dimensions to be determined using less resources, and are more scalable than conventional techniques.

Abstract: A vehicle communication system facilitates hands-free interaction with a mobile device in a vehicle or elsewhere. Users interact with the system by speaking to it. The system processes text and processes commands. The system supports Bluetooth wireless technology for hands-free use. The system handles telephone calls, email, and SMS text messages. The user can customize the device via a user profile stored on an Internet web server.

Abstract: In a wireless communication terminal, a control circuit is configured to cause a wireless communicator to wirelessly connect to a first AP on the basis of authentication information of the first AP stored on a memory and is configured to execute authentication processing with the first AP on the basis of the authentication information of the first AP stored on the memory without executing setup processing when the control circuit selects a first mode. The control circuit is configured to start the setup processing with a second AP by using the wireless communicator when the control circuit selects the second mode. The control circuit is configured to cause the wireless communicator to wirelessly connect to the second AP and is configured to execute the authentication processing with the second AP on the basis of authentication information received from the second AP by the wireless communicator.

Abstract: A semi-supervised model incorporates deep feature learning and pseudo label estimation into a unified framework. The deep feature learning can include multiple convolutional neural networks (CNNs). The CNNs can be trained on available training datasets, tuned using a small amount of labeled training samples, and stored as the original models. Features are then extracted for unlabeled training samples by utilizing the original models. Multi-view clustering is used to cluster features to generate pseudo labels. Then the original models are tuned by using an updated training set that includes labeled training samples and unlabeled training samples with pseudo labels. Iterations of multi-view clustering and tuning using an updated training set can continue until the updated training set is stable.

Abstract: Exemplary embodiments may use a contactless card as a secondary form of authentication in a multi-factor authentication for a secure messaging service. The recipient party of a request to initiate a messaging service session (such as a server computing device) may be programmed to use the phone number of the originating device to look up records regarding an identity of a party and their associated phone number as a primary credential and then may require an authentication credential originating from the contactless card as a secondary credential for the initiating party. In some instances, the credential originating from the contactless card is a onetime password that is valid only for a period of time. The recipient party determines whether the onetime password is valid. If both credentials are valid, a secure messaging session may be initiated with the initiating party.

Abstract: Exemplary embodiments may use a contactless card as a secondary form of authentication in a multi-factor authentication for a secure messaging service. The recipient party of a request to initiate a messaging service session (such as a server computing device) may be programmed to use the phone number of the originating device to look up records regarding an identity of a party and their associated phone number as a primary credential and then may require an authentication credential originating from the contactless card as a secondary credential for the initiating party. In some instances, the credential originating from the contactless card is a onetime password that is valid only for a period of time. The recipient party determines whether the onetime password is valid. If both credentials are valid, a secure messaging session may be initiated with the initiating party.

Abstract: Described herein are techniques for securely configuring a user device to operate on a wireless carrier network. In embodiments, the techniques may comprise receiving a bootstrapping request associated with a user device that includes at least an identifier for the user device, associating a limited use credential, a long-term use credential, and a communication identifier with the identifier for the user device, upon detecting activation of the identifier for the user device, providing, via a first communication channel related to the communication identifier, the limited use credential to the user device, and providing, via a second communication channel different from the first communication channel, the long-term use credential to the user device, the long-term use credential being cryptographically secured using the limited use credential, wherein the limited use credential is overwritten with a decrypted version of the long-term use credential.

Abstract: A system for cooling a mobile phone and method for using the system are described. The system includes an active piezoelectric cooling system, a controller and an interface. The active piezoelectric cooling system is configured to be disposed in a rear portion of the mobile phone distal from a front screen of the mobile phone. The controller is configured to activate the active piezoelectric cooling system in response to heat generated by heat-generating structures of the mobile phone. The interface is configured to receive power from a mobile phone power source when the active piezoelectric cooling system is activated.

Abstract: Systems, architectures, and approaches for use with neural networks. An execution block and a system architecture using a novel execution block are disclosed along with how such an execution block can be used. The execution block uses a fully connected stack of layers and parameters of this fully connected stack of layers are shared. The fully connected nature of the block and on-the-fly generated parameters allow for bypassing specialized training data sets. The system may be trained using non-task-specific training data sets and this allows the system to transfer what is learned to execute a different task. Thus, instead of having to obtain a specialized training data set for a specific task, a more generic training data set can be used to train and prepare the system for that specific task. Results have shown that performance is as good as than the state of the art in providing solutions.