AT&T Intellectual Property I, LP

Google Inc.

Other

Oracle International Corporation

Electronic Arts Inc.

Rubrik, Inc.

Baobab Studios Inc.

Semtech New York Corporation

Saudi Arabian Oil Company

Hewlett Packard Enterprise Development LP

Intuit, Inc.

Semtech Corporation

Usar Systems, Inc.

Integrated Steel Building, LLC

Urbantech Consulting Engineering, Pc

Wei Wang

Mikhail Istomin

Jeffrey E Bickford

Cristina Serban

Gustavo De Los Reyes

Andrea Giuseppe Forte

Robert A Koch

Barrett Morris Kreiner

Ari Craine

Robert Torrence Moton, Jr

Adrianne Binh Luu

Ryan L Schaub

Gang Xu

Neerja Bhatt

Namit Jain

James William Stamos

Paul Giura

Suhas Mathur

Sanjay Kaluskar

Baris Coskun

Lik Wong

Harold Henry Chaput

Shailendra Mishra

Apostolos Lerios

Li Ding

Victor Marten

Benjamin Travis Meadowcroft

Roger Piqueras Jover

Krishnan Meiyyappan

Evgene Vahlis

Omer Tripp

Jian Jim Wang

Rajesh Kumar Saini

Jin Wang

Navid Aghdaie

Kazi Atif-Uz Zaman

Mohammed Waleed Kadous

Feng Zhou

Hooisweng Ow

Alexander S Ran

Dieter Gawlick

Christopher Z Lesner

Mohammed Sayed

Debashish Chatterjee

Marko Rukonic

Lars Johnson

Prerepa V Viswanadham

Qi Shen

Rachel Rosencrantz

Timothy Knezevich

Ilona Murynets

Meghan Desai

Ramesh Subbaraman

Ioannis Milios

Samir Rishi Chaudhry

Bhagat V Nainani

Edwina Lu

Lawrence David Cutler

Disheng Su

Nathaniel Christopher Dirksen

Zebin Chen

Charles Shen

Mikhail Stanislavovich Solovykh

Roman Konarev

Shirong Wu

Tianpei Zhang

Prem Kumar

Mattias Teye

Nathaniel Gordon Boggs

King Wa Leung

Ulf Erik Kristoffer Sjöö

Ulf Martin Lucas Singh-Blom

Pierre B Vandwalle

Amy J Cairns

Franjo Ivancic

Ayrat Gizzatov

Shitong Sherry Zhu

Srinivasa D Murthy

Gregory Blake McKenna

Mohammed Khider

Ayesha Mudassir Khwaja

Massimiliano Ciaramita

Vinit Chandrakant Deshpande

Andrea Gesmundo

Rebecca Gisoo Park Chiou

Edward David Malinowski

Luigi Bruno

Macduff Richard Hughes

Joseph Joseph Cherukara

Domagoj Babic

Wojciech Gajewski

Aditi Bhargava

Mark Richard Tyler

Usman Abdullah

László Szekeres

Wei Xie

Kent S Russell

Bradley Gary Keck

Jyrki Alakuijala

Mariia Sandrikova

The disclosed technology is directed towards efficiently identifying a first entity (e.g., a user or sensor) as a potential witness to an event. A first dataset describing event time data and event location data of an event are obtained from a first device. A second dataset describing device time data and device location data are obtained via a device associated with a second entity, e.g., a user. By analyzing the first and second datasets, e.g., for time and location intersection, the second entity can be identified as a potential witness to the event, and notified of such. Factors such as line of sight, speed and direction, audio sensing range versus event volume, and the like of the second entity can be used in determining whether the second entity is a likely witness. A witness to a live event can be identified and asked to send in live (e.g., video) evidence.

Automated event witness identification

Aspects of the subject disclosure may include, for example, obtaining sensor data from a group of sensors arranged within an environment, the sensor data including observations of an individual. The sensor data is analyzed to obtain an analysis result and a condition of the individual is detected according to the analysis result. A treatment is associated with the condition and an environmental theme applied to the environment according to the treatment. Other embodiments are disclosed.

Dynamic home themes for assisted early detection and treatment in healthcare

A method includes introducing a fluoro-based small molecule tracer into a stimulation fluid, injecting the stimulation fluid into a target zone of a subterranean formation, and maintaining the fluoro-based small molecule tracer inside the target zone of the subterranean formation for an amount of time. While being maintained inside the target zone, the fluoro-based small molecule tracer comes into contact with water at a downhole temperature resulting in hydrolysis of the fluoro-based small molecule tracer to produce a fluorinated tracer and a nonfluorinated group. Then, produced fluid that includes the fluorinated tracer is recovered, a concentration of the fluorinated tracer in the hydrocarbons is determined, and the concentration of the fluorinated tracer is correlated to a productivity of the target zone of the subterranean formation.

Oil, gas and water well tracers with tunable release profile

The concepts and technologies disclosed herein are directed to on-demand trusted extended reality ('XR') environments. According to one aspect disclosed herein, a user device can create a trusted list identifying at least one trusted XR environment. The user device can connect to an untrusted XR server computer and can allow a user avatar associated with a user to enter an untrusted XR environment provided by the untrusted XR server. The user device can detect an event for which a trusted XR environment is desired. The user device can select the trusted XR environment to handle the event. The user device can select the trusted XR environment from the trusted list. The user device can instruct the untrusted XR server computer to teleport the user avatar from the untrusted XR environment to the trusted XR environment.

On-demand trusted extended reality environments

Implementations described herein relate to methods, systems, and computer-readable media to automatically answer a call. In some implementations, a method includes receiving a call from a caller device at a client device. The method further includes determining, based on an identifier associated with the call, whether the call matches auto answer criteria, and yin response to determining that the call matches the auto answer criteria, answering the call without user input and without alerting a user of the client device. The method further includes generating a call embedding for the call based on received audio of the call, comparing the call embedding with spam embeddings to determine whether the call is a spam call, and in response to determining that the call is a spam call, terminating the call.

Automatic call categorization and screening

The disclosed technology is directed towards providing guidance, e.g., point-to-point audio guidance, along an evacuation route. The presence of occupant(s) within a structure/area is monitored. If an evacuation event occurs, an evacuation route is determined for each occupant based on their current monitored starting location. Guidance is output, e.g., by various output devices along the evacuation route, which can be the safety monitors that monitor occupant presence, to guide each occupant from point-to-point along the evacuation route. For example, one monitor can be configured to hand off guidance responsibility to a next monitor along the evacuation route. The guidance can be customized for each known occupant based on their recognized features, or can be directed generally to an unknown occupant. Status information of the occupants can be provided to other occupants and to a responding entity. A responding entity can also be given directional guidance.

Monitored audio-based evacuation routes

This document describes a client-server approach for indoor-outdoor detection of an electronic device, and associated systems and methods. A server () collects crowdsourced information () from devices that detected a plurality of access points. An electronic device (), performing a wire-less-network scan, detects access points () within range and detects sensor data () from other sensors (). The electronic device () transmits such information to the server (). The server accesses the crowdsourced information () to determine, per access point () detected in the scan, a percentage of total detections of the access point that are accompanied by a GPS signal of a device that detected the access point and an RSS value below which no such GPS signal accompanies the detections. The percentage and the RSS value enable a determination of a probability indicating whether the electronic device () is located outdoors, lightly indoors, or deep indoors, which enables the electronic device to trigger a corresponding function.

Client-server approach for indoor-outdoor detection of an electronic device, and associated systems and methods

The disclosed technology is directed towards generating an annotated visual playback of an incident. Upon obtaining notification of an incident, event data occurring in the incident zone and timeframe are obtained (e.g., collected) from sensors proximate the zone. The event data is used to annotate a visual playback captured by one or more cameras, e.g., within a timeframe ranging from some time before the incident occurred to the end of the incident. For example, a video can be presented with overlaid annotation data, each annotation describing an event as it occurred in time, in conjunction with an advancing timestamp overlay showing the time of the video frames. A simulated video, e.g., extended reality video, can also be generated, along with annotations and timeframe data, such as if captured from camera(s) from one or more various different perspectives.

Annotated incident recreation

A processing system may obtain a first source data and encoding the first source data in accordance with a first key via an encoder associated with an encoder-decoder model to generate a first source data encoding that is a first output of the encoder and a second key that is a second output of the encoder. The processing system may then transmit the first source data encoding to a recipient system, where the second key is for generating a second source data encoding for transmission by the processing system to the recipient system. A processing system may also obtain a first encoded source data from a sending system, apply the first encoded source data and a first key as inputs to a decoder associated with an encoder-decoder model to obtain a first decoded source data and a second key as outputs, and present the first decoded source data.

Machine learning-based encoding/encryption key generation

Enabling machine-to-machine communication for digital assistants can include initiating a call with a called device, generating audio stream data having a first instance of audio and a first spoken command, which can be provided to the called device. A second instance of audio stream data can be received from the called device, can include a second spoken command, and can be analyzed to determine if it includes assistant signature data. If the second instance of audio stream data includes the assistant signature data, the devices can switch to machine-to-machine communications.

Enabling machine-to-machine communication for digital assistants

An in-place data recovery method and system include receiving a user request to restore a virtual machine to a version corresponding to a first point in time, identifying a first snapshot of the virtual machine based on the user request, generating a second snapshot of the virtual machine, identifying a second data block in the second snapshot that includes modified data derived from data content of a first data block in the first snapshot, generating reverse incremental backup data including the first data block, and restoring the virtual machine in-place based on the reverse incremental backup data.

In-place data recovery

Various aspects of the subject technology relate to systems, methods, and machine-readable media for generating insights for video games. The method includes gathering information regarding a player for a plurality of video games, the information comprising at least one of in-world state data, player action data, player progression data, and/or real-world events relevant to each video game. The method also includes tracking events in at least one video game of the plurality of video games, the events comprising an action event or a standby event. The method also includes determining that an event of the tracked events is an action event. The method also includes generating insights regarding the action event based on the information gathered regarding the player, the insights for improving the player's performance in the video game. The method also includes relaying the insights to the player to improve the player's performance in the video game.

Animated and personalized coach for video games

Aspects of the subject disclosure may include, for example, receiving, from a computing device, a user request to perform a subscriber identity module (SIM) swap for a subscriber, wherein the computing device and a user device are accessible to a user, based on the receiving the user request, generating a code for the SIM swap, resulting in a generated code, providing the generated code to the computing device for presentation, obtaining, from the user device, data associated with the user, the user device, or a combination thereof, facilitating user authentication responsive to the obtaining the data, detecting a transmission of a particular code from the user device, resulting in a detected code, and, based on the detecting the transmission and based on the facilitating the user authentication, performing an action relating to the SIM swap. Other embodiments are disclosed.

Split input and output (IO) for subscriber identity module (SIM) swaps

The concepts and technologies disclosed herein are directed to providing a split ledger for securing extended reality ('XR') environments. According to one aspect, an XR server computer can create an XR environment. The XR server computer can cause a passed ledger to be populated with an environment ID associated with the XR environment. The XR server computer can cause a hash ledger to be populated with a first hash of the environment ID. The XR server computer can register a user for participating in the XR environment and can cause the passed ledger to be populated with a user-created block associated with the user. The XR server computer can cause the hash ledger to be further populated with a second hash of the user-created block. The XR server computer can allow a user avatar associated with the user to join the XR environment.

Split ledger for securing extended reality environments

Aspects of the disclosure provide for automatically generating patches for security violations. For example, a plurality of inputs may be generated for code. The code may be executed using the plurality of inputs to obtain execution states at a plurality of code locations. The execution states may include at least one security violation for at least some of the plurality of inputs. Using the execution states, one or more patch conditions causing the at least one security violation may be determined. Using the execution states, one or more corresponding patch locations may be determined based on a code location of the plurality of code locations where the at least one security violation each of the one or more patch conditions occurred. At least one candidate patch for the at least one security violation may be automatically generated. The at least one candidate patch may include one of the patch conditions and one of the corresponding patch locations.

Automatic generation of patches for security violations

Growing community of inventors

Weehawken, NJ, United States of America

Wei Wang