Qualcomm Incorporated

Xokind, Inc.

Yinyin Liu

Victor Hokkiu Chan

Michael-David Nakayoshi Canoy

Michael Campos

Kiet Tuan Chau

Thomas Zheng

Vikram Makam Gupta

Paul E Bender

Stephen Alton Sprigg

Jeffrey Alexander Levin

Anthony Sarah

Michael Orlando DeVico

Adrienne Milner

Sarah Paige Gibson

Erik Christopher Malone

Naveen Gandham Rao

Edward Liao

Dihui Lai

Gregory Cisewksi

Sarah Kimberlin Harris

Anne Devine

Arjun Krishan Bansal

Marcus Ng

Scott Leishman

Gabriel Pereyra

Display screen with transitional graphical user interface for integrated travel itinerary planning, booking and viewing

A method of dynamically modifying target selection with a neural network includes dynamically modifying a selection function by controlling an amount of imbalance of connections in the neural network. A selected neuron represents one of multiple candidate targets.

Dynamic spatial target selection

Methods and devices of various embodiments provide enhanced location services by leveraging a system of beacon devices each broadcasting data that is useful in calculating locations and report of the trustworthiness of neighbor beacon devices. Various embodiments include a method performed by a beacon device that may include obtaining location data using a first functionality, evaluating sensor data to identify a breach of trust condition at the beacon device, generating authentication data that indicates any identified breach of trust condition, receiving one or more neighbor beacon broadcast messages using a second functionality, determining whether the one or more neighbor beacon broadcast messages include trustworthy location data, and broadcasting an outgoing broadcast message that includes the obtained location data, timing data, the generated authentication data, and data indicating whether the one or more neighbor beacon broadcast messages include trustworthy location data.

Ground-based location systems and methods

Various embodiments provide methods for controlling landings of a UAV in a landing zone including a plurality of landing bays. Various embodiments include a method implemented on a computing device for receiving continuous real-time sensor data from a transceiver and from sensors onboard the UAV, and detecting a target landing bay within the plurality of landing bays within the landing zone that is available for landing based on the continuous real-time sensor data. Orientation and position coordinates for landing in the target landing bay may be calculated based on the continuous real-time sensor data. Information regarding positions and flight vectors of a plurality of autonomous UAVs may be obtained, and a flight plan for landing in the target landing bay may be generated based on the orientation and the position coordinates, positions and flight vectors of the plurality of autonomous UAVs and a current orientation and position of the UAV.

Autonomous landing and control

Methods and apparatus are provided for training a neural device having an artificial nervous system by modulating at least one training parameter during the training. One example method for training a neural device having an artificial nervous system generally includes observing the neural device in a training environment and modulating at least one training parameter based at least in part on the observing. For example, the training apparatus described herein may modify the neural device's internal learning mechanisms (e.g., spike rate, learning rate, neuromodulators, sensor sensitivity, etc.) and/or the training environment's stimuli (e.g., move a flame closer to the device, make the scene darker, etc.). In this manner, the speed with which the neural device is trained (i.e., the training rate) may be significantly increased compared to conventional neural device training systems.

Methods and apparatus for modulating the training of a neural device

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.

Effecting modulation by global scalar values in a spiking neural network

Certain embodiments of the present disclosure relate to a technique for image reconstruction that employs cascaded over-complete dictionaries (i.e., collections of bases) for extracting features and building representations for images at different reconstruction levels. Each dictionary on a different reconstruction level can be learned and optimized for the purpose of capturing either generic or discriminative features. By finding sparse representations through the cascaded dictionaries, an image can be reconstructed and recognized.

Image recognition system based on cascaded over-complete dictionaries

Certain aspects of the present disclosure provide methods and apparatus for generating neural adaptive behavior, which may be based on neuromodulator-mediated meta-plasticity and/or gain control. In this manner, flexible associations between sensory cues and motor actions are generated, which enable an agent to efficiently gather rewards in a changing environment. One example method generally includes receiving one or more input stimuli; processing the received input stimuli to generate an output signal, wherein the processing is modulated with a first neuromodulation signal generated by a gain control unit; controlling the gain control unit to switch between at least two different neural activity modes, wherein at least one of a level or timing of the first neuromodulation signal generated by the gain control unit is determined based on the neural activity modes; and sending the output signal to an output unit.

Neural system of adaptive behavior

Certain embodiments of the present disclosure relate to a method for face recognition that is occlusion tolerant and scale/shift invariant based on a combination of hierarchical maximization and adaptive representation technique.

Methods and systems for occlusion tolerant face recognition

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San Diego, CA, United States of America

Yinyin Liu