Pure Storage, Inc.

Ghost Autonomy Inc.

Christopher R Lumb

John Martin Hayes

Ethan L Miller

Robert H Lee

Igor Ostrovsky

Volkmar Uhlig

Akash J Sagar

Feng Tian

Nima Soltani

Alexei Potashnik

Dilip Kumar Uppugandla

Christian Zankel

Xiaojing Zheng

Jonathan Curley

Yuchen Jin

Prannay Khosla

Matthew D Markel

Systems and methods of deduplication aware scalable content placement are described. A method may include receiving data to be stored on one or more nodes of a storage array and calculating a plurality of hashes corresponding to the data. The method further includes determining a first subset of the plurality of hashes, determining a second subset of the plurality of hashes of the first subset, and generating a node candidate placement list. The method may further include sending the first subset to one or more nodes represented on the node candidate placement list and receiving, from the nodes represented on the node candidate placement list, characteristics corresponding to the nodes represented on the candidate placement list. The method may further include identifying one of the one or more nodes represented on the candidate placement list in view of the characteristic and sending the data to the identified node.

Storage node data placement utilizing similarity

Selective training of neural networks using motion estimation, including: selecting, from a plurality of pixels in video data from a vehicle, based on motion relative to the vehicle, one or more pixels; and training a neural network based on the video data by zeroing out an error function applied to the selected one or more pixels.

Selective training of neural networks using motion estimation

Velocity adjustments based on roadway scene comprehension may include controlling an ego vehicle traveling in a first lane, wherein the first lane comprises a lane of travel for the ego vehicle of a multilane roadway including at least the first lane and a second lane; capturing object ranges by the ego vehicle using at least a first sensor corresponding to a first sensor type; identifying a first vehicle operating in the second lane from the first sensor; determining a first velocity of the first vehicle; generating a first lane flow rate for the second lane from one or more captured object velocities, wherein the lane flow rate of the second lane is based on at least the first velocity of the first vehicle and a traffic density estimation; determining whether to modify an ego vehicle velocity based on the first lane flow rate; and in response to determining whether to modify the ego vehicle velocity, generating instructions for the ego vehicle's velocity.

Velocity adjustments based on roadway scene comprehension

Camera data normalization for an autonomous vehicle are described herein, including: receiving, from one or more cameras of the autonomous vehicle, camera data; applying a color normalization to the camera data; applying a spherical reprojection to the camera data; and applying, based on a registration point, a stabilization to the camera data.

Camera data normalization for an autonomous vehicle

Scene filtering using motion estimation, including identifying, in camera data from an autonomous vehicle, based on motion relative to the autonomous vehicle, one or more pixels; filtering, from the camera data, the one or more pixels; and training, based on the filtered camera data, a neural network.

Scene filtering using motion estimation

Systems and methods of deduplication aware scalable content placement am described. A method may include receiving data to be stored on one or more nodes of a storage array and calculating a plurality of hashes corresponding to the data. The method further includes determining a first subset of the plurality of hashes, determining a second subset of the plurality of hashes of the first subset, and generating a node candidate placement list. The method may further include sending the first subset to one or more nodes represented on the node candidate placement list and receiving, from the nodes represented on the node candidate placement list, characteristics corresponding to the nodes represented on the candidate placement list. The method may further include identifying one of the one or more nodes represented on the candidate placement list m view of the characteristic and sending the data to the identified node.

Reducing data distribution inefficiencies

Migrating applications executing on a storage system, including: detecting, by the storage system, that an application executing on a first platform within the storage system should be migrated to a second platform within the storage system; rejecting, by the storage system, all pending input/output ('I/O') requests received by the storage system from the application executing on the first platform; and initiating, by the storage system, execution of the application on the second platform.

Providing high availability for applications executing on a storage system

Deduplication aware scalable content placement

Migrating applications executing on a storage system

Growing community of inventors

San Francisco, CA, United States of America

Christopher R Lumb