Inventor

FEUZ SANDRO

CH50 patents

⚠️ This page may combine multiple inventors who share the name “FEUZ SANDRO”. Patents are grouped by organization below to help distinguish them — per-person disambiguation is on the roadmap.

FEUZ SANDRO

GOOGLE LLC

Automated assistants that accommodate multiple age groups and/or vocabulary levels

Monitoring communication by a bot to determine a human or an additional bot

Adaptive natural language steganography and watermarking for virtual assistants

Threshold-based assembly of remote automated assistant responses

Threshold-based assembly of automated assistant responses

Collaborative voice controlled devices

Adaptive natural language steganography and watermarking for virtual assistants

Developing event-specific provisional knowledge graphs

Automated assistants that accommodate multiple age groups and/or vocabulary levels

Extending application access across devices

Systems and method to resolve audio-based requests in a networked environment

Using live data streams and/or search queries to determine information about developing events

Developing event-specific provisional knowledge graphs

Determining whether and/or when to provide notifications, based on application content, to mitigate computationally wasteful application-launching behavior

Reinforcement learning techniques to improve searching and/or to conserve computational and network resources

Generating and/or prioritizing pre-call content for rendering when awaiting acceptance of an incoming call

Distributed identification in networked system

Systems and method to resolve audio-based requests in a networked environment

Collaborative voice controlled devices

Assembling and evaluating automated assistant responses for privacy concerns

Transitioning between private and non-private state

Distributed identification in networked system

Developing event-specific provisional knowledge graphs

Generating and/or prioritizing pre-call content for rendering when awaiting acceptance of an incoming call

Extending application access across devices

On-device machine learning platform to enable sharing of machine learned models between applications

Incognito mode for personalized machine-learned models

Determining whether and/or when to provide notifications, based on application content, to mitigate computationally wasteful application-launching behavior

Generating and/or prioritizing pre-call content for rendering when awaiting acceptance of an incoming call

Distributed identification in networked system

Determining whether and/or when to provide notifications, based on application content, to mitigate computationally wasteful application-launching behavior

On-device machine learning platform to enable sharing of machine-learned models between applications

Incognito mode for personalized machine-learned models

Transitioning between private and non-private state

Transitioning between private and non-private state

Automated assistants that accommodate multiple age groups and/or vocabulary levels

Context aware chat history assistance using machine-learned models

Threshold-based assembly of remote automated assistant responses

Generating additional synthesized voice output based on prior utterance and synthesized voice output provided in response to the prior utterance

Assembling and evaluating automated assistant responses for privacy concerns

Threshold-based assembly of automated assistant responses

Automated assistant control of external applications lacking automated assistant application programming interface functionality

Providing navigation instructions to one device in view of another device

Privacy controls for sharing embeddings for searching and indexing media content

Method and system for the classification and categorization of video pathways in interactive videos

Advanced content retrieval

GOOGLE INC

Intercom-style communication using multiple computing devices

Transitioning between private and non-private state

Smart advanced content retrieval

Automatic generation and transmission of a status of a user and/or predicted duration of the status