Abstract: A computer implemented method includes obtaining a first deep neural network (DNN) model trained on labeled real image data for a downstream vision task, obtaining a second DNN model trained on synthetic images created with random image parameter values for the downstream vision task, obtaining a third DNN model trained on the labeled real image data and the synthetic images for the downstream vision task, performing a forward pass execution of each model to generate a loss, backpropagating the loss to modify parameter values, and iterating the forward pass execution and backpropagating with images generated by the modified parameters to jointly train the models and optimize the parameters.

Abstract: A computer implemented method includes obtaining a first deep neural network (DNN) model trained on labeled real image data for a downstream vision task, obtaining a second DNN model trained on synthetic images created with random image parameter values for the downstream vision task, obtaining a third DNN model trained on the labeled real image data and the synthetic images for the downstream vision task, performing a forward pass execution of each model to generate a loss, backpropagating the loss to modify parameter values, and iterating the forward pass execution and backpropagating with images generated by the modified parameters to jointly train the models and optimize the parameters.

Abstract: In general, the short range wireless powered ring described herein pertains to a finger-worn ring. In one embodiment the ring has a small interaction area towards the palm of the hand that employs sensors to sense user input and can interpret this input and other data. For example, the ring can interpret user input as scroll and select input actions. The ring communicates user interactions and other data wirelessly using a low-power wireless solution. The ring contains a coil and other circuitry for energy harvesting from short range wireless enabled devices such as, for example, NFC enabled phones, while users interact with their devices. A built in rechargeable battery is used to store the scavenged energy. The ring may also contain physiological and inertial sensors. The ring can provide a readily available input device of small form factor that has an easily accessible energy source for ease of use.

Abstract: A location-related entity ranking technique is described that allows a user see the ranking of location-related entities near a desired location in response to a query. The technique can leverage the searches performed by a community of mobile device users at a given location and at a given time to infer the location-related entities that are popular at this specific location and time window. The technique can also filter out or re-rank these location-related entities based on the personal preferences of the person that submits the query and group preferences of a group to which the user belongs. The personal preferences can also be context specific (i.e. different restaurant preferences for lunch and dinner times).

Abstract: In general, the short range wireless powered ring described herein pertains to a finger-worn ring. In one embodiment the ring has a small interaction area towards the palm of the hand that employs sensors to sense user input and can interpret this input and other data. For example, the ring can interpret user input as scroll and select input actions. The ring communicates user interactions and other data wirelessly using a low-power wireless solution. The ring contains a coil and other circuitry for energy harvesting from short range wireless enabled devices such as, for example, NFC enabled phones, while users interact with their devices. A built in rechargeable battery is used to store the scavenged energy. The ring may also contain physiological and inertial sensors. The ring can provide a readily available input device of small form factor that has an easily accessible energy source for ease of use.

Abstract: A “Communication Device with Energy Efficient Sensing” provides various techniques for enabling a variety of sensor-based applications and processes while conserving energy on mobile communications devices. More specifically, the Communication Device with Energy Efficient Sensing provides a novel sensing architecture for mobile communications devices where sampling and, in various embodiments, processing, of sensor data received from one or more sensors is offloaded to a dedicated low-power processor having the capability to interact with a primary processor of the communications device. Such sensors include, but are not limited to accelerometers, ambient light sensors, compasses, microphones, pressure sensors, touch sensors, low-power radio devices, etc. This approach enables the communications device to perform continuous sensing with a low power overhead.

Abstract: A “Portable Card Generator” is implemented within a portable device, such as a mobile phone, and provides various techniques for writing secure account information from user selected accounts to a “wildcard” having rewritable magnetic stripes, rewritable RFID tags, and/or rewritable smartcard circuitry. The account information is retrieved by the portable device from local or remote stores of user accounts. Once that account information is written, the wildcard is then available for immediate use for credit card or debit-type payments, loyalty card use, etc. Consequently, by providing a credit card sized object having a rewriteable magnetic stripe, RFID tag, and/or smartcard circuitry, in combination with account information for various credit cards, debit cards, consumer loyalty cards, insurance cards, ID cards or badges, etc., the user is no longer required to physically carry those cards in order to use the corresponding accounts within existing card-based infrastructures.

Abstract: The subject disclosure is directed towards delivering information to mobile devices in an energy and bandwidth efficient manner by sending information only when the device user is likely to use the information. The information is delivered proactively based on user attention being paid to the device or the user's anticipated attention, corresponding to sensed state data and other state data. Also described is a proxy that interfaces with legacy information servers or the like, such as to emulate the mobile device, so that information delivery from such sources can be deferred until needed by the user. Device energy is conserved and user disruptions reduced by computing an inference as to when the user is likely to be interested in the communicated information, and downloading based upon the inference.

Abstract: A location-related entity ranking technique is described that allows a user see the ranking of location-related entities near a desired location in response to a query. The technique can leverage the searches performed by a community of mobile device users at a given location and at a given time to infer the location-related entities that are popular at this specific location and time window. The technique can also filter out or re-rank these location-related entities based on the personal preferences of the person that submits the query and group preferences of a group to which the user belongs. The personal preferences can also be context specific (i.e. different restaurant preferences for lunch and dinner times).

Abstract: A “Communication Device with Energy Efficient Sensing” provides various techniques for enabling a variety of sensor-based applications and processes while conserving energy on mobile communications devices. More specifically, the Communication Device with Energy Efficient Sensing provides a novel sensing architecture for mobile communications devices where sampling and, in various embodiments, processing, of sensor data received from one or more sensors is offloaded to a dedicated low-power processor having the capability to interact with a primary processor of the communications device. Such sensors include, but are not limited to accelerometers, ambient light sensors, compasses, microphones, pressure sensors, touch sensors, low-power radio devices, etc. This approach enables the communications device to perform continuous sensing with a low power overhead.

Abstract: The present disclosure describes a community model based point of interest local search platform. Specifically, logs of users that store selections while accessing a point of interest application are loaded into a database. The logs are of users that have similar demographic or other community attributes. The logs are then mined for contextual parameters, including, but not limited to time of day, day of week, distance, activity, environment, popularity, and personal preferences. The point of interest selections are then mapped to a multi-dimensional map where each dimension corresponds to a contextual parameter. Clusters are evaluated by a classifier and classes of users of the community are identified. When a user then queries the community model based point of interest local search platform, contextual parameters are submitted with the query, relevant classes identified, and the corresponding point of interest information is displayed to the user.

Abstract: A smart interconnect for modular multi-component embedded devices is described. In an embodiment of a smart interconnect for modular multi-component embedded devices, a desired functionality of a stack of hardware boards is accessed. For example, a user may select a new functionality for the stack of hardware boards. The desired functionality is then transmitted to a board in the stack of hardware boards and the board is configured to implement the desired functionality of the stack of hardware boards.

Abstract: A smart interconnect for modular multi-component embedded devices is described. In an embodiment of a smart interconnect for modular multi-component embedded devices, a desired functionality of a stack of hardware boards is accessed. For example, a user may select a new functionality for the stack of hardware boards. The desired functionality is then transmitted to a board in the stack of hardware boards and the board is configured to implement the desired functionality of the stack of hardware boards.