International Business Machines Corporation

Harold Leon Ossher

Michael Desmond

Peri L Tarr

Vincent Joseph Kruskal

Jacquelyn Annette Martino

John Thomas Richards

Paul Michael Matchen

Rachel K E Bellamy

Calvin Bruce Swart

Evelyn Duesterwald

David M Ungar

Sophia Krasikov

Edith Gail Schonberg

David John Piorkowski

Matthew N Kaplan

Matthew J Callery

James R Kraemer

Robert R Friedlander

Peter Kenneth Malkin

John Raithel Hind

Martin J Hirzel

Lin Luo

Brad Byer Topol

Darrell Christopher Reimer

Lawrence Scott Rich

Robert Leslie Yates

Tova Roth

Brent Tzion Hailpern

Bala Rajaraman

Matthew R Arnold

Michael S Karasick

Derek Bruce Inglis

Zhong Tian

Douglas Neil Kimelman

Harini Srinivasan

Ian D Simmonds

Frank J Budinsky

Da Ming Hao

Hang Jun Ye

David Joseph Streeter

Stanley M Sutton, Jr

John D Wiegand

Ian Hugh Carmichael

Yiyun Chen

William H Harrison

Dave Thomson

Steven R Dobson

The generating of actionable recommendations for tuning model metrics of an Artificial Intelligence (AI) system includes partitioning a key performance indicator (KPI) range associated with a target system into a plurality of buckets. Log data including at least one KPI of the target system and one or more AI model metrics is partitioned and distributed across the plurality of buckets. For each bucket, an aggregate value of the one or more AI model metrics across the log data is computed and weighted according to the volume of log data in that bucket. A correlation factor between the aggregate value and a representative KPI value for each bucket is determined. A model tuning recommendation to increase ranking of the AI model metrics according to the determined correlation factor is provided to an output device and/or to the AI system for updating the one or more AI model.

Generating model insights by progressive partitioning of log data across a set of performance indicators

A computing method receives a labeled sample from an annotator. The method may determine a plurality of reference model risk scores for the first labeled sample, where each reference model risk score corresponds to an amount of risk associated with adding the first labeled sample to a respective reference model of a plurality of reference models. The method may determine an overall risk score for the first labeled sample based on the plurality of reference model risk scores. The method may further determine a probe for confirmation of the first labeled sample and a trust score for the annotator by sending the probe to one or more annotators. In response to determining a trust score for the annotator the method may add the labeled sample to a ground truth or reject the labeled sample.

Filter for harmful training samples in active learning systems

Systems and methods to generate a cognitive model are described. A particular example of a system includes a memory including program code having an application programming interface and a user interface, and a processor configured to access the memory and to execute the program code to generate a cognitive model, to run analysis on the cognitive model to determine a factor that is impacting a performance of the cognitive model, to determine an action based on the factor, to report at least one of the factor and the action to a user, and to use the action to generate a second cognitive model.

Conversational optimization of cognitive models

A method, system, and/or computer program product optimizes execution of a computation. Multiple slots, each of which is a container for information, are defined. A coordinate tuple is defined for each of the multiple slots. The coordinate tuple describes a position of a slot along multiple dimensions in a slot space. The multiple dimensions describe roles for executing a software object, and each of the multiple dimensions has a same level of primacy such that no dimension has primacy over another dimension in the slot space. Multiple method slots are populated with software method objects that address different contexts and purposes as defined by coordinate tuples of the multiple method slots. Software method objects are retrieved from coordinate tuples in the slot space that match a defined context and purpose of a particular computation, which is propagated to a processor that is executing a particular software method object.

Symmetrical dimensions in context-oriented programming to optimize software object execution

A method, system, and/or computer program product associates new contextual state information about a changed data structure with a beneficial target data. Event data, which describes an event that modifies a data structure, is incorporated into the data structure to create a changed data structure state. New contextual state information, which describes the changed data structure state, is generated and transmitted to multiple beneficial target data stores, wherein applying the new contextual state information to a particular beneficial target data affects an activity that utilizes the particular beneficial target data.

Contextual state of changed data structures

Mechanisms are provided for generating a shape tag cloud display. A user input is received that specifies an arbitrarily hand-drawn shape tag. A set of shape tag equivalence classes is updated based on the received user input to assign the arbitrarily hand-drawn shape tag to a shape tag equivalence class having similar previously entered arbitrarily hand-drawn shape tags. Rankings of the shape tags relative to one another are generated. The shape tag cloud display is generated based on the rankings. A representation of each shape tag within the shape tag cloud display has display characteristics based on the rankings. The shape tag cloud display is then output.

Creating tag clouds based on user specified arbitrary shape tags

Disclosed is a computer-implemented method to create a presentation having at least one sheet, where each sheet contains one or more visual elements, as well as a system and computer program embodied on a computer-readable storage medium. The method includes, in response to input from a user, representing visual elements as depictions in a model, where each depiction depicts a single item in the model, where each item is a unit of information with a unique identifier, where each item can be depicted by at least one depiction and each depiction defines the visual representation of the item's information via the visual element. The method further includes, in response to a change to an item made by altering the visual element associated with the depiction of the item, automatically propagating the change to the item to all other depictions of the item across all sheets of the presentation. The method further includes updating the associated visual elements to reflect the change to the item.

Smart slide creation and presentation

Techniques are presented for providing a software fitting assessment. The techniques may be performed by methods, apparatus, and/or computer program products. The techniques include automatically matching on a computer system one or more specified requirements for a project with one or more software functions stored in a repository. The automatically matching includes mining the repository in order to match requirements. The repository includes software functions, requirements accumulated from previous projects, and results of stored matches between the software functions and the requirements accumulated from previous projects. The techniques include outputting by the computer system one or more results of the matching.

Techniques providing a software fitting assessment

A mark-based containment system, in one aspect, may include a graphical user interface operable to receive an indication of a mark as a container marking, attribute one or more container attributes to the container marking, and store the container mark and the container attributes associated with the container mark.

Mark-based electronic containment system and method

A system (and method) for identifying concerns includes a specifying device for specifying at least one initial concern, and an identifying device for identifying at least one related concern having a relationship with at least one initial concern.

System and method for identifying concerns

A method and system for maintaining originality-related information about elements in an editable object. It is determined that an element has been edited in the editable object. The originality-related information about the element, including the element's creator, is identified and recorded by embedding the originality-related information in the editable object, storing the originality-related information in an attached file, or storing the originality-related information in association with the element in a repository configured to be shared by different editable objects and further configured to be queried for elements of the different editable objects in association with originality-related information pertaining to the elements of the different editable objects. Whether the element is in compliance with a policy relating to the originality-related information about the element is assessed, and a result of the assessing (indicating compliance or non-compliance of the element with the policy) may be transmitted to a user.

Method and system for maintaining originality-related information about elements in an editable object

A problem determination method, system and program product are provided. Specifically, the present invention identifies problems with software programs by inserting compiled problem determination probes into program classes while the computer system on which the program is loaded is running. Once the probes have been inserted, the classes will be run and trace data will be generated. The trace data can be retrieved and analyzed to identify and address the problem. When the probes are no longer needed, they can be removed while the computer system continues to run.

Problem determination method, system and program product

There is provided a method for generating a software module based upon elements from multiple software modules. The method includes the step of extracting a plurality of sets of elements from the multiple software modules based upon at least one extraction criterion. Any elements in the sets that violate at least one correctness and completeness criterion are identified. The violating elements are automatically brought into compliance with the at least one correctness and completeness criterion. A plurality of single software modules is generated, wherein each of the single software modules contains one of the sets of elements. The plurality of single software modules are composed to form a final, single software module. The extracting step may include the steps of: classifying the elements in the multiple software modules according to concerns the elements pertain to; representing the concerns by a multi-dimensional space, wherein each dimension represents a type of concern, each coordinate on a dimension represents a concern of that type, and each point in the space represents an element; and representing the at least one extraction criterion in terms of the multi-dimensional space.

Method for generating a software module from multiple software modules based on extraction and composition

A compiler having one or more separate components, each of which contains the source code of the compiler which is responsible for implementing a corresponding data representation. These components are responsible for all of the parts of compilation which depend on the corresponding data representation. In one aspect of the present invention, a compiler comprises: a converter for converting program code to object code; and a data representation implementor for isolating within the compiler information that relates to representation of data at runtime, wherein the converter accesses the data representation implementor to obtain information that is needed for converting any portion of the program code that is dependent on representation of data at runtime.

Compiler for supporting multiple runtime data representations

Growing community of inventors

South Salem, NY, United States of America

Harold Leon Ossher