International Business Machines Corporation

Stryker European Operations Limited

Other

Globalfoundries U.S. Inc.

Green Market Square Limited

Ebm Fusion Solutions, LLC

Samuel Scott Adams

James R Kraemer

Robert R Friedlander

Jeb R Linton

John Kenyon Gerken, Iii

Suparna Bhattacharya

Susann Marie Keohane

Wendy Ann Belluomini

Rachel K E Bellamy

Jonathan P Brezin

Philip R Varker

Peter Kenneth Malkin

Igor Arsovski

John Richard Smith

Lisa A Seacat

Shunguo Yan

Mark N Wegman

John Maxwell Cohn

Lawrence M Boyd

Ajamu Akinwunmi Wesley

David Bruce Lindquist

Scott N Gerard

Sandeep Kishan Singhal

Rakesh Mohan

Krishnan Santhana Rengarajan

Gary Paul Noble

John Thomas Richards

David M Ungar

Kyle Gene Brown

Elizabeth Vera Woodward

Hiroshi Maruyama

Aliza Rivka Heching

Stefan Georg Hild

Douglas Neil Kimelman

Richard Orville LaMaire

Rosalind Toy Allen Radcliffe

Kelly Grant Lee

Mohammad Arif Ul Alam

Jeremy Brand-Sussman

Takayuki Yamaizumi

Brian Price

Douglas Kirven

An implant is provided for use in an ankle joint between reconditioned end surfaces established on a distal end of an upper tibia bone and an opposing lower talus bone. The implant comprises a substantially porous rigid component adapted to be anchored against the upper tibia reconditioned end surface and the lower talus reconditioned end surface. The component defining an opening therethrough. An intramedullary nail is configured to pass through the opening in the component when the nail is driven through the talus and into the tibia.

Joint or segmental bone implant for deformity correction

A method and system to interpret sensor transmission patterns to analyze anomalies in a smart environment include obtaining a map of the smart environment, the map including an indication of obstructions and openings. The method includes determining an initial location of each sensor of a plurality of sensors in the smart environment. Each sensor emits a transmission after each detection. The method also includes identifying an initial transmission pattern associated with each sensor, and identifying a change in the initial transmission pattern of a sensor among the plurality of sensors. The change is interpreted to determine whether the change in the initial transmission pattern of the sensor among the plurality of sensors is due to movement or obstruction of the sensor. Action is taken based on a determination that the sensor among the plurality of sensors is obstructed or removed.

Interpreting sensor transmission patterns to analyze anomalies in a smart environment

A third party intermediary and a data protection method, system, and non-transitory computer readable medium, include executing a program, via the processor, using zero-knowledge verifiable computing to remove private content from a pre-approved version of a content to ensure privacy of a condition of a user from a provider of the content.

System, method, and recording medium for preventing back propogation of data protection

A computer-implemented method, system, and/or computer program product generates and utilizes synthetic context-based objects. One or more processors define a context object, where the context object provides a context that identifies a specific subject-matter, from multiple subject-matters, of a non-contextual data object. The processor(s) associate the non-contextual data object with the context object to define a synthetic context-based object and the synthetic context-based object with at least one specific data store. A request is received from a requester for data from said at least one specific data store that is associated with the synthetic context-based object, where said at least one specific data store is within a database of multiple data stores. Data is returned to the requester from said at least one specific data store that is associated with the synthetic context-based object.

Generation of synthetic context objects using bounded context objects

A sensor system comprises: an energy storage device electrically coupled to an intermittent energy release device that causes the energy storage device to release stored energy intermittently; a sensor electrically coupled to the energy storage device, where the sensor detects physical events occurring at a physical device and is intermittently powered by electrical energy received from the energy storage device; a synaptic neural network core electrically coupled to the sensor, where the synaptic neural network core converts sensor readings into an object that describes the physical events occurring at the physical device; a transponder electrically coupled to the synaptic neural network core; and a storage buffer within the transponder, where the storage buffer stores the object for transmission from the transponder to a monitoring system, where the intermittent energy release device provides power to the sensor in response to the transponder transmitting the object to the monitoring system.

Synaptic neural network core based sensor system

A third party intermediary and a data protection method, system, and non-transitory computer readable medium, include a content request receiving circuit configured to receive a service request from a user, to communicate the service request to a provider, and to receive pre-approved versions of content from the provider, a content matching circuit configured to match a pre-approved version of content of the pre-approved versions of content to the user based on a condition of the user, a user data receiving circuit configured to receive user data to complete the pre-approved version of the content, and a zero-knowledge verifiable computing circuit configured to execute a program using zero-knowledge verifiable computing to remove private content from the pre-approved version of the content to ensure privacy of the condition of the user from the provider.

A scoped search engine is disclosed. The scoped search engine includes a memory unit storing reference data records. The scoped search engine also includes a data comparison unit that searches the reference data records using different searches. The scoped search engine further includes a match analysis unit that combines result data from the different searches and determines a scope for a subsequent search based on the combined result data.

Scoped search engine

A method, computer program product and system for generating and maintaining synthetic context events. The steps include searching a data structure of synthetic context-based objects and associated data for a pattern of context exhibited at a first specified frequency within a first specified time period; combining the synthetic context-based objects and associated data exhibiting the pattern of context exhibited at the first specified frequency within the first specified time period into a synthetic context event; and optimizing and maintaining the synthetic context event by searching the data structure for additional synthetic context-based objects and associated data exhibiting a same pattern of context at a second specified time period different than the first specified time period and adding the additional synthetic context-based objects and associated data to the synthetic context event.

Generation and maintenance of synthetic context events from synthetic context objects

Automatically create abstractions of large sets of data and then probabilistic inferences based on the abstractions. The probabilistic inference is derived from the logical hierarchy using Bayesian statistics to infer a probabilistic event based upon a characteristic of the data in a hierarchy of synthetic events. The logical hierarchy of a set of a plurality of synthetic events is related by at least one characteristic of data is built by accessing a first set of data. The first set of data is organized based on a first characteristic. A second set of data different than the first set of data is accessed. A second set of data based is organized based on a second characteristic. The first characteristic and the second characteristic are processed to generate a synthetic event. The synthetic event is a third set of data representing a result of a mathematical computation defined by an operation S(p)==&#x3e;F(p).

Probabilistic inference engine based on synthetic events from measured data

A processor-implemented method, system, and/or computer program product generates and utilizes synthetic context-based objects. A non-contextual data object is associated with a context object, which comports with a predetermined set of constraints, to define a synthetic context-based object, where the non-contextual data object ambiguously relates to multiple subject-matters, and where the context object provides a context that identifies a specific subject-matter, from the multiple subject-matters, of the non-contextual data object. The synthetic context-based object is then associated with at least one specific data store, which includes data that is associated with data contained in the non-contextual data object and the context object. A request for a data store that is associated with the synthetic context-based object results in the return of at least one data store that is associated with the synthetic context-based object.

A processor-implemented method, system, and/or computer program product measures and displays facets in context-based conformed dimensional data gravity wells. Conformed dimensional objects and synthetic context-based objects are parsed into n-tuples. A virtual mass of each parsed object is calculated, in order to define a shape of multiple context-based conformed dimensional data gravity wells that are created when data objects that are pulled into each of the context-based conformed dimensional data gravity well frameworks on a context-based conformed dimensional gravity wells membrane. Data from the multiple context-based conformed dimensional data gravity wells then populates nodes in a data model. A displayed appearance of the particular context-based conformed dimensional data gravity well is dynamically adjusted according to how many parsed synthetic context-based objects are pulled into the particular context-based conformed dimensional data gravity well.

Measuring and displaying facets in context-based conformed dimensional data gravity wells

A system comprises a hashing logic, which executes instructions to convert raw data into a first logical address and payload data, where the first logical address describes metadata about the payload data. A hardware translation unit executes instructions to translate the first logical address into a first physical address on a storage device. A hardware load/storage unit stores the first logical address and the payload data at the first physical address on the storage device. A content addressable store is associated with a reference to the logical addressed data in this location addressable high dimensional store, where the content addressable store is searched for the desired content word using at least one temporal attribute to retrieve the corresponding references with low latency. A hardware exclusive OR (XOR) unit compares two logical address vectors to derive a Hamming distance between the two logical address vectors.

Stored data with temporal proximity analysis for very large scale data with very low built in latency

Growing community of inventors

Rutherfordton, NC, United States of America

Samuel Scott Adams