Google Inc.

Servicenow, Inc.

Juniper Networks, Inc.

Walmart Apollo, LLC

Los Gatos Research, Inc.

Other

Shiftleft, Inc.

Nikira Labs Inc.

Hitachi, Ltd.

Abb Schweiz Ag

American Express Travel Related Services Company, Inc.

Abb Research Ltd.

Wal-mart Stores, Inc.

Manish P Gupta

Jill A Huchital

Rajas Moonka

Jason S Bayer

Stephen Lacy

Madhavi Puvvada

Purushottam Shridhar Amradkar

John M Harding

Ronojoy Chakrabarti

Keval Desai

Willard V T Rusch, Ii

Willard Rusch, Ii

Chinna Babu Polinati

Lin Liao

Douglas Steven Baer

Reuven Lax

Poorva Arankalle

Brienne M Finger

Pratosh Deepak Rajkhowa

Nicholas Lee

Brandon Thomas Trudel

Viral Shah

Vivian Tero

Jesus Antonio Castro Cisneros

Sridhar Chandrashekar

Chetan Conikee

Wen Lin

Deepak R Deshpande

Rohit Jain

Raveendra Torvi

Yuki Watanabe

Madhavan Kandhadai Vasantham

John E Drake

Babu Singarayan

Vlad A Ionescu

Pankaj Shukla

Vinay K Nallamothu

Ravigopal Vennelakanti

J Brian Leen

Akira Maeki

Steve Okamoto

Deran Maas

Santosh Esale

John Brian Leen

Daniel Wesley Dulitz

Chandrasekar Venkatraman

James A Gilbert

David A Wagner

Swapnesh Patel

Sharmila Koppula

Guarav Yakhmi

Mikhail A Dmitriev

Magesh Narayanan

Karen Padham Taylor

Anthony O'Keefe

Rupal Gupta

Andrew Fahrland

Puneet Srivastava

Davide Massarenti

Fabian Yamaguchi

Vikrant Tare

Daniele Angelosante

Elena S F Berman

Christopher Bowers

Susan Lauren Fortson

Thomas G Owano

Shivakumar Channalli

Chika Ugboh

Hongbin Lin

Houman Motaharian

Kyle Owen

Satya Ranjan Mohanty

Kiran Kumar Bushireddy

Navindra Sharma

Rahul Vishwakarma

Nam Huyn

Susan Wojcicki

Peter C Chane

Ignacio Del Valle Alles

Anand Vitthal Karandikar

Nadeem Mohammad

Daniel L Bolt

Nikhil Lakshman

Sneha Narahalli Balasubramanya

Pankaj Kumar Gupta

Sairanjit Polepeddi

Dinoop Dayanand

Aparna Sarin

Brett Sussman

Fernando Valdes

Elena Simone Franklin Berman

John R Speakman

Edward L Melanson, Jr

Tammy McLeod

Satish Babu Krishnamoorthy

Rukshan Felix Perera

John Harding

Sergey Gavrilov

Cecile Berta

Mehdi Esmail

A cell for an optical cavity includes a tube with a first open-end and a second open-end, a first end-cap, and a second end-cap. The first end-cap is fixedly attached to the tube at the first open-end and has an opening with a center axis. The second end-cap is fixedly attached to the tube at the second open-end and has an opening with a center axis that is axially aligned with the center axis of the first end-cap.

Cell and optical cavity for absorption spectroscopy and methods of assembly

Techniques for EVPN Host Routed Bridging (HRB) and EVPN cloud-native data center with Host Routed Bridging (HRB) are described. A host computing device of a data center includes one or more containerized user-level applications. A cloud native virtual router is configured for dynamic deployment by the data center application orchestration engine and operable in a user space of the host computing device. Processing circuitry is configured for execution of the containerized user-level applications and the cloud native virtual router. The cloud native virtual router comprises a containerized routing protocol process configured to operate as a control plane, and a data plane for the containerized router. The data plane is configured to operate an ethernet virtual private network (EVPN) encapsulation/decapsulation data path of an overlay network for communicating layer two (L2) network traffic of the containerized user applications over a switch fabric of the data center.

EVPN host routed bridging (HRB) and EVPN cloud native data center

A system and method for securing an application through an application-aware runtime agent can include: acquiring a code profile, instrumenting the application with a runtime agent according to the code profile, enforcing the runtime agent on the execution of the application, and responding to the runtime agent. Enforcing the runtime agent on the execution of the application can include monitoring the execution flow, which comprises of monitoring the utilization of the controls through the execution of the application; detecting a threat, which comprises identifying a section of the execution flow as a potential security threat; and regulating the execution flow to prevent or ameliorate the security threat. Responding to the runtime agent can include responding to the security threat and providing a user interface that may output runtime agent diagnostics and trigger alerts.

System and method for securing applications through an application-aware runtime agent

A system and method for application security profiling that includes extracting a code property graph from at least a subset of a code base; generating a code profile from the code property graph, wherein generating the code profile occurs prior to a compilation of the code base; and applying the code profile, comprising of identifying sections of interest within the code base.

System and method for application security profiling

A system may include a database disposed within a remote network management platform, a server device disposed in the platform, and a client device. The database may contain representations of configuration items, such as computing devices and software applications associated with the managed network. The server device may provide a graphical user interface including a sequence of panes to the client device. The sequence of panes may include an identifier pane, an identification rules pane, and a reconciliation pane. Each pane may include data entry fields that are operable to define a new class of configuration item. The server device may receive, by way of the graphical user interface, a definition of the new class that uniquely identifies configuration items of a particular type using at least the attributes. The server may store, in the database, the definition of the new class.

Guided configuration item class creation in a remote network management platform

Techniques for presenting a content item with a media item are described. The techniques include receiving user input indicating a placement preference for a content item to be presented with a media item. The placement preference indicates a presentation preference of the content item relative to presentation of the media item. The placement preference is used to influence selection of a media item with which the content item is to be presented.

Device functionality-based content selection

An optical system for performing an absorption measurement of a medium sample includes a laser source configured to output a laser beam having a wavelength corresponding to an absorption region of interest; a ringdown cavity comprising a chamber configured to receive the medium sample, an input mirror at an input end, an output mirror at an output end, and an optical axis that extends through the centers of the input mirror and the output mirror; a coupling device configured to couple the laser beam through the input mirror into the chamber; and a detector optically coupled with the cavity, and configured to detect an intensity of light of the wavelength corresponding to the absorption region of interest that extends through the output mirror, wherein a cavity geometry of the cavity increases the re-entrant condition of the cavity relative to a conventional cavity comprised of two spherical mirrors.

System and method of providing incoherent coupling of a laser into a high finesse optical cavity

This application relates to apparatus and methods for batching orders for delivery. In some examples, a computing device may obtain order data identifying at least a first order and a second order. The computing device may determine whether the first order can be delivered to a first delivery address and the second order can be delivered to a second delivery address within a delivery time window. Based on the determination, the computing device may batch the first order and the second order to generate a batched order. In some examples, the computing device determines if the delivery vehicle can store the items for the first order and the second order to determine whether the orders may be batched. The computing device may generate assignment data identifying an assignment of the batched order to a delivery vehicle, and may transmit the assignment data to another computing device.

Systems, non-transitory computer readable mediums, and methods for grocery order batching and customer experience

This application relates to apparatus and methods for determining delivery prices for, and the assigning of, order deliveries. In some examples, a computing device may obtain order data identifying an order for delivery. The computing device may transmit a request to deliver the order for a first price to a first driver. The computing device may determine that a response to the request has not been received, and obtain risk values corresponding to identified delivery request acceptance risk factors. The risk factors may include location based risk factors, delivery time risk factors, driver supply risk factors, and time deadline risk factors. The computing device may determine a second price based on the first price and the risk values by executing one or more algorithms. The computing device may then transmit another request to deliver the order for the second price to a second driver.

Method and apparatus for delivery order fee determination and assignment

In some examples, a system may include a memory resource storing instructions, and one or more processors. In various examples the one or more processors may be configured to execute the instructions to receive data indicating that an order has been dropped by a driver of a first computing system. The order may include a set of order parameters that may include a first order parameter and a second order parameter. Additionally, the one or more processors may be configured to execute the instructions to determine a remaining delivery time period based at least a time when the order was dropped and the first order parameter. Moreover, the one or more processors may be configured to execute the instructions to obtain profile data of a set of drivers that includes availability data indicating the corresponding driver is available for assignment. Furthermore, the one or more processors may be configured to execute the instructions to, based on the set of order parameters, the remaining delivery time period and the profile data, implement a set of processes that identify, from the set of drivers, one or more candidate drivers for the order.

System and method of delivery assignment

The serving of advertisements with (e.g., on) video documents may be improved in a number of ways. For example, a system may (a) accept information defining at least one ad spot associated with at least one instance of an video document, (b) accept offers to have advertisements served in the ad spot(s), and (c) arbitrate among competing advertisements, using at least the offers, to determine at least one advertisement to be served in that ad spot(s). As another example, a system may (a) accept relevance information for an advertisement, (b) determine at least one video document using the accepted relevance information, (c) present information about the video document(s) to an advertiser associated with the advertisement, and (d) accept, from the advertiser, an offer to have its advertisement served with at least one of the video document(s) accepted. As yet another example, a system may (a) accept relevance information for an video document, (b) determine a plurality of advertisements relevant to the video document using the relevance information and serving constraints of the advertisements, and (c) select at least one of the determined relevant advertisements to be served with the video document. Examples of video documents include video files published on the Internet, television programs, live or recorded talk shows, video-voice mail, segments of an video conversation, etc.

Verifying presentation of video content

This application relates to apparatus and methods for determining, assigning, and displaying order deliveries. In some examples, a computing device may obtain order data identifying at least one order for delivery during a timeslot. The computing device may transmit, to a driver's computing device, a request for deliveries for a first price during the timeslot. The computing device may receive, from the driver's computing device, a response accepting the request. The computing device may then assign the driver to the order, and determine a delivery status based on the assignment of the first driver to the first order. The delivery status may identify, for example, that the order has been assigned to the driver, an estimated delivery time, the number of items being delivered, the weight of the items, and a route taken by the driver. The computing device may also display the delivery status.

Method and apparatus for delivery order dispatch and assignment

Information technology discovery data items are received from a plurality of different discovery sources. The received information technology discovery data items are stored in a multisource data store. The received information technology discovery data items from the plurality of different discovery sources are reconciled to determine an attribute value of a configuration item. The determined attribute value of the configuration item is stored in a configuration management database (CMDB).

Configuration item determination based on information technology discovery data items from multiple sources

Growing community of inventors

Santa Clara, CA, United States of America

Manish P Gupta