Intel Corporation

Wen-Ling Huang

Amit S Baxi

Johanna M Swan

Adel A Elsherbini

Aleksandar Aleksov

Feras Eid

Manoj R Sastry

Shilpa Talwar

Sasha N Oster

Marcio Rogerio Juliato

Shabbir Ahmed

Christopher N Gutierrez

Vuk Lesi

Qian Wang

Vincent S Mageshkumar

Ramune Nagisetty

Kumar Ranganathan

Saiveena Kesaraju

Ivan Simoes Gaspar

Carlos Cordeiro

Glen J Anderson

Rita H Wouhaybi

Christian Maciocco

Giuseppe Beppe Raffa

Srikathyayani Srikanteswara

Xue Yang

Conor Patrick Cahill

Deepak Shashidhar Vembar

Omesh Tickoo

Harry G Skinner

Jason Martin

Anthony George LaMarca

Kerstin Johnsson

Lenitra M Durham

Jeffrey R Foerster

Maynard C Falconer

Jaideep Moses

Helen Kankan Pan

Richard A Forand

Hao Luo

Meiyuan Zhao

Pete A Denman

Jamie Sherman

Anthony G Lamarca

Venkat Natarajan

Ryan Scott Brotman

Melissa A Cowan

Philip Muse

Francisco Javier Fernandez

Ryan M Field

Gagan Acharya

Arjun Kg

Various aspects of methods, systems, and use cases include techniques for training or using a model to control a robot. A method may include identifying a set of action primitives applicable to a set of robots, receiving information corresponding to a task (e.g., a collaborative task), and determining at least one action primitive based on the received information. The method may include training a model to control operations of at least one robot of the set of robots using the received information and the at least one action primitive.

Collaborative multi-robot tasks using action primitives

Systems, apparatuses, and methods to response to distinguish a ghost target from an actual target based on radar signals is provided. In particular, the disclosure provides an intrusion detection system adapted to receive radar signals and distinguish a potential ghost target from a legitimate target based on a signal to noise ratio of the radar signals and a range to the ghost target and the legitimate target.

Signal-to-noise ratio range consistency check for radar ghost target detection

Systems, apparatuses, and methods to response to distinguish a ghost target from an actual target based on radar signals and ranges determined from the radar signals. In particular, the disclosure provides an intrusion detection system receiving ranges and velocities for targets detected based on radar signals, determining a potential ghost target from the received velocities and confirming the potential ghost target based on estimated ranges and perturbations of the vehicle speed.

Range doppler consistency check for radar ghost target detection

Certain embodiments herein are directed to managing wireless spectrum, which may include recommending or transmitting spectrum usage changes to one or more wireless devices. A spectrum management system comprising one or more computers may receive spectrum usage information associated with one or more wireless devices. The spectrum management system may generate a spectrum usage map based on the received information. Based on the spectrum usage map, a spectrum usage change is determined and transmitted to one or more wireless devices. The wireless devices may change their operation in accordance with the spectrum usage change.

Cloud based spectrum management

Discussed generally herein are methods and devices including or providing a patch system that can help in diagnosing a medical condition and/or provide therapy to a user. A body-area network can include a plurality of communicatively coupled patches that communicate with an intermediate device. The intermediate device can provide data representative of a biological parameter monitored by the patches to proper personnel, such as for diagnosis and/or response.

Patch system for in-situ therapeutic treatment

Technologies for generating a text message from user-selectable icons include a wearable computing device that determines a context associated with the wearable computing device. The wearable computing device determines user-selectable icons from predetermined user-selectable icons based on the context associated with the wearable computing device. Each of the user-selectable icons may have one or more textual meanings associated therewith for text message generation. The determined user-selectable icons may be displayed on a display of the wearable computing device.

Context-based message creation via user-selectable icons

A wearable device ('WD') stores a token after its wearer completes a successful strong authentication on a primary protected device ('primary PD'). Other protected devices (&#x201c;secondary PDs&#x201d;) recognize the stored token as representing a strong authentication and grant the user access while the user continues to wear the WD within a &#x201c;digital leash-length&#x201d; proximity. The WD constantly monitors whether the user continues to wear the device. Upon sensing that the user has removed the WD, the WD deletes, disables, or invalidates the token, The user must then repeat the strong authentication to gain further access to the protected devices.

Authentication system using wearable device

Embodiments of an optically transparent antenna are generally described herein. In some embodiments, the optically transparent antenna may comprise a plurality of electrically-isolated conductive patches arranged on a non-conductive surface. A combination of a size of the conductive patches and a spacing between the conductive patches is less than a human visual acuity for a predetermined viewing distance so that the patches are not be visible or perceptible to a human. In some embodiments, optically transparent antenna may serve as one or more antennas on a mobile platform.

Optically transparent antenna for wireless communication and energy transfer

An analog frontend (AFE) interface is dynamically programmable. A single AFE circuit can interface with multiple different analog devices, and dynamically configure its input for efficient interfacing with each different analog device. The AFE receives multiple unprocessed analog input signals and samples the analog input signals. A preprocessor element in the AFE analyzes the input signals and generates control signals based on the analyzing. The control signals dynamically adjust how the AFE samples the analog input signals, and can improve the efficiency of the operation the AFE.

Dynamically configurable analog frontend circuitry

This disclosure is directed to a composable thin computing device. An example device may comprise at least a device interface module, a communication module, a processing module, a memory module, a composable computing module and a power module. The device interface module may couple the device to an operational environment via at least one of a physical connector or a wireless connection. The communication module may at least one of transmit or receive data via the device interface module. The processing module may process the data. The memory module may store at least a portion of the data. The composable computing module may cause at least one of the above modules to perform certain functionality related to the operational environment. The power module may power at least one of the above modules.

Composable thin computing device

Growing community of inventors

Los Altos, CA, United States of America

Wen-Ling Huang