Amazon Technologies, Inc.

William J Vass

Colin Laird Lazier

Roger Shane Barga

Gaurav D Ghare

Leon Thrane

Walterio Wolfgang Mayol Cuevas

Wasiq Bokhari

Sean Love

Garish Sood

Marvin Michael Theimer

Gourav Roy

Mushegh Malkhasyan

Fusheng Yuan

Jeffrey Paul Heckey

John Totah

Christopher Kasprowicz

Cody Aoan Wang

Bin Zhu

Iftach Ragoler

Chetan Banthiya

Ritesh Singh

Aditya Krishnan

Dmitry Berkovich

Paul Andrew Lafranchise

Swarnaprakash Udayakumar

Brandon Kyle Pelfrey

Jason Chen Hooi Chionh

Techniques for video enhancement using a service are described. In some examples, a video enhancement service is to receive, from a requesting device, a request to provide a video, the request including an indication that at least a proper subset of the video is to be enhanced using at least one machine learning model; select at least one machine learning model to be used to enhance at least the proper subset of the video; enhance at least the proper subset of the video using the selected at least one machine learning model; and output the video including the at least proper subset of the video that had been enhanced.

Video enhancement service

A network-attachable data transfer device housed within a shippable enclosure that incorporates an updateable electronic display for displaying shipping destination information is disclosed. The device may be initialized (e.g., prepared to receive data, and the updateable electronic shipping display set to the shipping destination) by a service provider and shipped, in accordance with the displayed destination address, as a self-contained shipping unit. The device may be installed onto a network at the destination and loaded with data. The display may also be updated with the next destination address such that the device is shipped to the updated destination address (e.g., back to the service provider, or onto other destinations before being send back to the service provider). When the device is received back at the service provider, the data is transferred from the device to a service provider storage facility, wiped of data, and prepared to be sent out again.

Shippable network-attached data storage device with updateable electronic display

A quantum computing service includes connections to one or more quantum hardware providers that are configured to execute quantum circuits using quantum computers based on one or more quantum technologies. The quantum computing service also includes at least one edge computing device located adjacent to a quantum computer at one of the quantum hardware provider facilities. The edge computing device is configured to execute classical computing portions of a hybrid algorithm in coordination with the quantum computer, which executes quantum computing portions of the hybrid algorithm. Results of the execution of the hybrid algorithm are automatically stored to a data storage service accessible to the customer.

Quantum computing service supporting local execution of hybrid algorithms

A robotic device management service obtains, from a customer, a first set of parameters of a robotic device and a second set of parameters for a simulation environment for testing a robotic device application installable on the robotic device. The set of parameters are used to indicate a storage location of the application and a selection of a simulation environment for testing the application. In response to the request, the robotic device management service selects a set of resources on which to execute the simulation in the simulation environment. The robotic device management service obtains the robotic device application from the storage location and loads the application on to the set of resources to execute the simulation.

Robotics application development architecture

An event detection system for detecting events related to vehicles based on sensor data from the vehicles. An event detection service on a network may receive streams of sensor data from vehicles and apply machine learning techniques to train models and to analyze the data to detect vehicle-related events. Supervised and unsupervised techniques may be used to train the models and to detect known as well as anomalous events. Events may be detected based on data from one or from multiple vehicles. The system may respond to events by alerting entities and/or signaling vehicle control systems to respond to the events. Trained models may be downloaded to vehicles; the vehicle computer systems can then locally detect events. The downloaded models can be further trained on the vehicles, uploaded to the network, and integrated into the network-based models to improve the performance of the models.

Network-based vehicle event detection system

Techniques for maintaining versioning of data objects as a result of policy-based changes to the data objects are described herein. Metadata associated with a data object is updated as a result of an operation that is specified in a data policy associated with the data object. The metadata associated with the data object is updated based on a version key that is associated with the data object that is an identifier that identifies the data storage object in a plurality of data storage classes.

Policy-driven multiple storage class representation in versioned storage

Disclosed are various embodiments for a framework for time-associated data stream storage, processing, and replication. A plurality of streams of time-associated data are received from a plurality of sources via a network using an application-layer protocol. Each of the plurality of streams is divided into a plurality of fragments. An acknowledgement is sent to each of the plurality of sources for each of the plurality of fragments via the network using the application-layer protocol. Processing is performed on each of the plurality of fragments for individual ones of the plurality of streams. An action is implemented relative to a respective fragment based at least in part on a result of the processing.

Framework for time-associated data stream storage, processing, and replication

A version of a data object is updated as a result of a version changing operation and version metadata associated with the data object is updated based on a version key that is associated with the data object where the version metadata maintains a history of the version changing operations performed on the data object.

Multiple storage class representation in versioned storage

Growing community of inventors

Bainbridge Island, WA, United States of America

William J Vass