Google Inc.

Manish Deepak Purohit

Shanmugasundaram Ravikumar

Erik Nathan Vee

Joshua Ruizhi Wang

Zoya Svitkina

Arvind Radhakrishnen

Sahil Sharma

The present disclosure provides a system for real-time health monitoring of one or more users. The system includes a computing device associated with a facility, a plurality of cameras, an AI edge device, and a communication network. Moreover, the system includes a server, a database, and a notification interface. The AI edge device monitors the health of one or more users in real-time. The AI edge device monitors the health of the one or more users by processing a video feed captured by the plurality of cameras. Further, the AI edge device notifies the health-related issues in real-time using the notification interface to a first set of users.

Method and system for real-time health monitoring and activity detection of users

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for scheduling operations represented on a computation graph. One of the methods receiving, by a computation graph system, a request to generate a schedule for processing a computation graph, obtaining data representing the computation graph generating a separator of the computation graph; and generating the schedule to perform the operations represented in the computation graph, wherein generating the schedule comprises: initializing the schedule with zero nodes; for each node in the separator: determining whether the node has any predecessor nodes in the computation graph, when the node has any predecessor nodes, adding the predecessor nodes to the schedule, and adding the node in the schedule, and adding to the schedule each node in each subgraph that is not a predecessor to any node in the separator on the computation graph.

Scheduling operations on a computation graph

Growing community of inventors

Fremont, CA, United States of America

Manish Deepak Purohit