Abstract: Approaches for fabricating an integrated circuit structure including a titanium silicide material, and the resulting structures, are described. In an example, an integrated circuit structure includes a semiconductor fin above a substrate, a gate electrode over the top and adjacent to the sidewalls of a portion of the semiconductor fin. A titanium silicide material is in direct contact with each of first and second epitaxial semiconductor source or drain structures at first and second sides of the gate electrode. The titanium silicide material is conformal with and hermetically sealing a non-flat topography of each of the first and second epitaxial semiconductor source or drain structures. The titanium silicide material has a total atomic composition including 95% or greater stoichiometric TiSi2.

Abstract: Approaches for fabricating an integrated circuit structure including a titanium silicide material, and the resulting structures, are described. In an example, an integrated circuit structure includes a semiconductor fin above a substrate, a gate electrode over the top and adjacent to the sidewalls of a portion of the semiconductor fin. A titanium silicide material is in direct contact with each of first and second epitaxial semiconductor source or drain structures at first and second sides of the gate electrode. The titanium silicide material is conformal with and hermetically sealing a non-flat topography of each of the first and second epitaxial semiconductor source or drain structures. The titanium silicide material has a total atomic composition including 95% or greater stoichiometric TiSi2.

Abstract: A method for automatically generating documentation for an artificial intelligence model includes receiving, by a computing device, an artificial intelligence model. The computing device accesses a model facts policy that indicates data to be collected for artificial intelligence models. The computing device collects artificial intelligence model facts regarding the artificial intelligence model according to the model facts policy. The computing device accesses a factsheet template. The factsheet template provides a schema for an artificial intelligence model factsheet for the artificial intelligence model. The computing device populates the artificial intelligence model factsheet using the factsheet template with the artificial intelligence model facts related to the artificial intelligence model.

Abstract: A method for automatically generating documentation for an artificial intelligence model includes receiving, by a computing device, an artificial intelligence model. The computing device accesses a model facts policy that indicates data to be collected for artificial intelligence models. The computing device collects artificial intelligence model facts regarding the artificial intelligence model according to the model facts policy. The computing device accesses a factsheet template. The factsheet template provides a schema for an artificial intelligence model factsheet for the artificial intelligence model. The computing device populates the artificial intelligence model factsheet using the factsheet template with the artificial intelligence model facts related to the artificial intelligence model.

Abstract: According to an aspect, searching, recommending, and exploring documents through conceptual associations includes a method for receiving a plurality of documents and extracting concepts from each of the documents. A degree of relation between each of the documents and concepts in a knowledge base is calculated. The method also includes, in response to receiving a query, determining one or more concepts from the query. For each of the concepts, a list of documents having a highest degree of relation to the concept is retrieved. The method also includes outputting a list that is responsive to the one or more retrieved lists.

Abstract: According to an aspect, searching, recommending, and exploring documents through conceptual associations includes a method for receiving a plurality of documents and extracting concepts from each of the documents. A degree of relation between each of the documents and concepts in a knowledge base is calculated. The method also includes, in response to receiving a query, determining one or more concepts from the query. For each of the concepts, a list of documents having a highest degree of relation to the concept is retrieved. The method also includes outputting a list that is responsive to the one or more retrieved lists.

Abstract: According to an aspect, searching, recommending, and exploring documents through conceptual associations includes a method for receiving a plurality of documents and extracting concepts from each of the documents. A degree of relation between each of the documents and concepts in a knowledge base is calculated. The method also includes, in response to receiving a query, determining one or more concepts from the query. For each of the concepts, a list of documents having a highest degree of relation to the concept is retrieved. The method also includes outputting a list that is responsive to the one or more retrieved lists.

Abstract: According to an aspect, searching, recommending, and exploring documents through conceptual associations includes receiving a plurality of documents and extracting concepts from each of the documents. A degree of relation between each of the documents and concepts in a knowledge base is calculated. An aspect also includes, in response to receiving a query, determining one or more concepts from the query. For each of the concepts, a list of documents having a highest degree of relation to the concept is retrieved. An aspect also includes outputting a list that is responsive to the one or more retrieved lists.

Abstract: Performance of a computer implementing a machine learning system is improved by providing, via a graphical user interface, to an annotator, unlabeled corpus data to be labeled; obtaining, via the interface, labels for the unlabeled corpus data; and detecting, with a consistency calculation routine, concurrent with the labeling, internal inconsistency and/or external inconsistency in the labeling. Responsive to the detection, intervene in the labeling with a reactive intervention subsystem until the inconsistency is addressed. The labeling is completed subsequent to the intervention; the system is trained to provide a trained machine learning system, based on results of the completed labeling; and classification of new data is carried out with the trained system. Proactive intervention schemes are also provided.

Abstract: Detecting user input based on multiple gestures is provided. One or more interactions are received from a user via a user interface. An inferred interaction is determined based, at least in part, on a geometric operation, wherein the geometric operation is based on the one or more interactions. The inferred interaction is presented via the user interface. Whether a confirmation has been received for the inferred interaction is determined.

Abstract: Systems and methods are provided for post-hoc correction of calibration errors in eye tracking data, which take into consideration calibration errors that result from changes in user position during a user session in which the user's fixations on a display screen are captured and recorded by an eye tracking system, and which take into consideration errors that occur when the user looks away from a displayed target item before selecting the target item.

Abstract: Detecting user input based on multiple gestures is provided. One or more interactions are received from a user via a user interface. An inferred interaction is determined based, at least in part, on a geometric operation, wherein the geometric operation is based on the one or more interactions. The inferred interaction is presented via the user interface. Whether a confirmation has been received for the inferred interaction is determined.

Abstract: Detecting user input based on multiple gestures is provided. One or more interactions are received from a user via a user interface. An inferred interaction is determined based, at least in part, on a geometric operation, wherein the geometric operation is based on the one or more interactions. The inferred interaction is presented via the user interface. Whether a confirmation has been received for the inferred interaction is determined.

Abstract: Detecting user input based on multiple gestures is provided. One or more interactions are received from a user via a user interface. An inferred interaction is determined based, at least in part, on a geometric operation, wherein the geometric operation is based on the one or more interactions. The inferred interaction is presented via the user interface. Whether a confirmation has been received for the inferred interaction is determined.

Abstract: Detecting user input based on multiple gestures is provided. One or more interactions are received from a user via a user interface. An inferred interaction is determined based, at least in part, on a geometric operation, wherein the geometric operation is based on the one or more interactions. The inferred interaction is presented via the user interface. Whether a confirmation has been received for the inferred interaction is determined.

Abstract: Detecting user input based on multiple gestures is provided. One or more interactions are received from a user via a user interface. An inferred interaction is determined based, at least in part, on a geometric operation, wherein the geometric operation is based on the one or more interactions. The inferred interaction is presented via the user interface. Whether a confirmation has been received for the inferred interaction is determined.

Abstract: In a method for generating an audio summary of a portion of an electronic document, a user input selecting a focus position within a rendered electronic document is received. The plurality of document elements included in the rendered electronic document is identified. A plurality of audio objects corresponding to the plurality of document elements is generated. An audio signal is generated. The audio signal includes a subset of the plurality of audio objects corresponding to a subset of the plurality of document elements contained within a predetermined range from the focus position. The audio signal indicates the spatial relation between the elements of the elements subset. The audio signal is rendered to the user.

Abstract: Detecting user input based on multiple gestures is provided. One or more interactions are received from a user via a user interface. An inferred interaction is determined based, at least in part, on a geometric operation, wherein the geometric operation is based on the one or more interactions. The inferred interaction is presented via the user interface. Whether a confirmation has been received for the inferred interaction is determined.

Abstract: Systems and methods are provided for post-hoc correction of calibration errors in eye tracking data, which take into consideration calibration errors that result from changes in user position during a user session in which the user's fixations on a display screen are captured and recorded by an eye tracking system, and which take into consideration errors that occur when the user looks away from a displayed target item before selecting the target item.

Abstract: 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.