Google Inc.

Deepcell, Inc.

Mahyar Salek

Philip Andrew McDonnell

Shobhit Saxena

Vinod Kumar Ramachandran

Hou-Pu Chou

David Owen Shanahan

Mahdokht Masaeli

Soroush Kahkeshani

Amin Charaniya

Prashast Khandelwal

Syed Tariq Shafaat

David Owen Shanaha

Philip Mcdonnell

Systems and methods of matching identifiers between multiple datasets are described herein. A system can transmit a first identifier vector to a third party server. The first identifier vector can include a first identifier, first parameters, and second parameters. The system can receive, from the third party server, the first identifier vector encrypted based on a third-party encryption. The system can receive, from the third party server, a second identifier vector encrypted based on the third-party encryption associated with the third party server. The second identifier vector can include a second identifier, third parameters, and fourth parameters. The system can determine a correlation count between the first identifier vector and the second identifier vector. The system can determine that the first identifier corresponds to the second identifier based on the correlation count. The system can generate one identifier key for both the first identifier and the second identifier.

Generating bridge match identifiers for linking identifers from server logs

The present disclosure provides systems and methods for sorting a cell. The system may comprise a flow channel configured to transport a cell through the channel. The system may comprise an imaging device configured to capture an image of the cell from a plurality of different angles as the cell is transported through the flow channel. The system may comprise a processor configured to analyze the image using a deep learning algorithm to enable sorting of the cell.

Systems and methods for particle analysis

Generating bridge match identifiers for linking identifiers from server logs

Bridging encrypted datasets is provided. A system transmits, to a server, a first identifier vector encrypted with a first encryption that is commutative. The system receives an encrypted first identifier vector encrypted based on the first encryption and encrypted by a second encryption associated with the server. The system receives a second identifier vector encrypted based on the second encryption. The system encrypts the second identifier vector with the first encryption to generate an encrypted second identifier vector that is encrypted based on the second encryption and further encrypted based on the first encryption. The system determines a correlation count between the encrypted first identifier vector and the encrypted second identifier vector. The system generates one identifier key for both the first identifier and the second identifier. The system can provide the one identifier key for input into an application to process interactions.

Systems and methods of cryptographically protecting location data transferred between servers via a network to tune a location engine are described herein. A first encryption module determines a first hash value for each location determination, encrypts the first hash value for each location determination using a first encryption protocol to generate a first encrypted data set, and transmits the first encrypted data set to a server. The first encryption module receives, from the server, a second encrypted data set with second hash values generated by a second encryption module of the server using a second encryption protocol. The first encryption module creates a first double encrypted data set from the second encrypted data set. A tuner compares the first double encrypted data set with a second double encrypted data set received from the server to adjust the location engine.

Systems and methods for improving precision of a location sensor

Growing community of inventors

San Jose, CA, United States of America

Mahyar Salek