Facebook, Inc.

Meta Platforms, Inc.

Venkatasiva Prasad Chakkabala

Venkateshwaran Venkataramani

Mark V Marchukov

George Cabrera, Iii

Dmitri Petrov

Brian Alexander Knott

Ali Israr

Freddy Abnousi

Frances Wing Yee Lau

Robert Turcott

Siyan Zhao

Jennifer Chen

A method comprises inputting an audio signal into a machine learning circuit to compress the audio signal into a sequence of actuator signals. The machine learning circuit being trained by: receiving a training set of acoustic signals and pre-processing the training set of acoustic signals into pre-processed audio data. The pre-processed audio data including at least a spectrogram. The training further includes training the machine learning circuit using the pre-processed audio data. The neural network has a cost function based on a reconstruction error and a plurality of constraints. The machine learning circuit generates a sequence of haptic cues corresponding to the audio input. The sequence of haptic cues is transmitted to a plurality of cutaneous actuators to generate a sequence of haptic outputs.

Neural network model for generation of compressed haptic actuator signal from audio input

A haptic device comprises a signal generator that is configured to receive an input word that is a unit of a language. The signal generator converts the input word into one or more phonemes of the input word. The signal generator further converts the one or more phonemes into a sequence of actuator signals. The sequence of actuator signals is formed from a concatenation of sub-sequences of actuator signals. Each phoneme corresponding to a unique sub-sequence of actuator signals. The haptic device further comprises a two dimensional array of cutaneous actuators configured to receive the sequence of actuator signals from the signal generator, each of the actuator signals mapped to a cutaneous actuator of the two dimensional array of cutaneous actuators.

Machine communication system using haptic symbol set

A haptic device comprises a signal generator that is configured to receive an input word that is a unit of a language written using consonant-vowel pairs. The signal generator converts the input word into one or more consonant-vowel pairs of the input word. The signal generator further converts the one or more consonant-vowel pairs into a sequence of actuator signals. The sequence of actuator signals is formed from a concatenation of sub-sequences of actuator signals. Each phoneme corresponding to a unique sub-sequence of actuator signals. The haptic device further comprises a two dimensional array of cutaneous actuators configured to receive the sequence of actuator signals from the signal generator, each of the actuator signals mapped to a cutaneous actuator of the two dimensional array of cutaneous actuators.

Machine translation of consonant-vowel pairs and syllabic units to haptic sequences for transmission via haptic device

In one embodiment, a system includes a database operative to maintain a social graph of an online social network, a leader cache layer, a plurality of servers, and a follower cache layer comprising one or more follower cache clusters, where each follower cache cluster maintains at least a portion of the social graph, and where the follower cache layer is operative to receive a command from the servers with instructions for updating a portion of the social graph, send the command to one of the leader cache layers, receive an acknowledgment of the command from one of the leader cache layers and a request to update; and update one or more of the follower cache clusters storing the portion of the social graph associated with the command.

Distributed cache for graph data

In one embodiment, a system includes a database; and a cache layer comprising one or more leader cache nodes, the one or more leader cache nodes operative to: communicate graph information between a follower cache layer and the database; receive a request from one of the follower cache nodes to store graph information in the database; update the database storing the graph responsive to the request; and update one or more of the follower cache nodes storing the portion of the graph associated with the request.

In one embodiment, a system comprises a database operative to maintain a social graph, a leader cache layer comprising one or more leader cache clusters, and a follower cache layer comprising one or more follower cache clusters, wherein the leader cache layer is operative to, communicate social graph information between the follower cache cluster and the database, wherein each follower cache cluster maintains at least a portion of the social graph, receive a request from one of the follower cache clusters to store social graph information in the database, update the database storing the social graph responsive to the request, and update one or more of the follower cache clusters storing the portion of the social graph associated with the request.

In one embodiment, a system includes a database; and a cache layer comprising one or more cache nodes, the one or more cache nodes operative to: maintain in a memory one or more data structures storing association information describing associations between nodes in a graph a plurality of distributed cache clusters for storing information in the form of a graph, the graph comprising a plurality of nodes, each uniquely identified by a node identifier, and edge information indicating associations between nodes; respond to queries for associations between nodes in the graph by accessing the memory; and forward other queries to the database for processing.

In one embodiment, a system includes a database operative to maintain a social graph; and a cache layer comprising a plurality of data shards, the data shards being divided among a plurality of cache nodes of a cache layer, wherein each data shard is operative to: maintain at least a portion of the social graph; receive a request to store associations between a first graph node and a second graph node of the social graph, wherein the first and second graph nodes are identified by a first and second unique identifier, respectively, the first and second graph nodes each corresponding to a particular data shard of the plurality of data shards; and update, responsive to the request, the data shard corresponding to the first graph node and the data shard corresponding to the second graph node.

Distribution cache for graph data

A distributed caching system for storing and serving information modeled as a graph that includes nodes and edges that define associations or relationships between nodes that the edges connect in the graph.

Growing community of inventors

Sunnyvale, CA, United States of America

Venkatasiva Prasad Chakkabala