Abstract: A method for managing and rendering one or more information nodes relative to a current focus. The method receives one or more principal topics from an analysis of the information nodes. The method determines a topic vector from a similarity of a first information node to each of the principal topics and a map from the topic vector to a storage location of the first information node. The method determines one or more current topics from a second information node that has been recently accessed by a user and a current focus vector from a similarity of the one or more current topics to the one or more principal topics. The method renders the current focus vector and the first information node according to a rendering algorithm that is applied to the current focus vector and the first information node.

Abstract: A computer-implemented method manages drop-ins on conversations near a focal point of proximal activity in a gathering place. One or more processors receive a first set of sensor data from one or more sensors in a gathering place, and then identify a focal point of proximal activity based on the first set of received sensor data received from the one or more sensors. One or more processors characterize a conversation near the focal point based on a second set of received sensor data from the one or more sensors, and then present a characterization of the conversation to an electronic device. One or more processors enable the electronic device to allow a user to drop-in on the conversation.

Abstract: A system for verifying factual assertions in natural language. Receiving a text input. Identifying, a verifiable factual statement in the text. Forming a query based on the verifiable factual assertion. Searching a corpus based on the query. Determining the veracity of verifiable factual assertion based on the search results.

Abstract: A method for managing and rendering one or more information nodes relative to a current focus. The method receives one or more principal topics from an analysis of the information nodes. The method determines a topic vector from a similarity of a first information node to each of the principal topics and a map from the topic vector to a storage location of the first information node. The method determines one or more current topics from a second information node that has been recently accessed by a user and a current focus vector from a similarity of the one or more current topics to the one or more principal topics. The method renders the current focus vector and the first information node according to a rendering algorithm that is applied to the current focus vector and the first information node.

Abstract: An approach for rewarding at least one user based on a response to a client. In the approach, a processor receives a request from a client, wherein the request comprises predetermined factors that are set by the client. A processor identifies a user from at teat one user with a response that comprises the set of predetermined factors. A processor sends the response from the at least one user to the client. A processors evaluates the response from the at least one user. A processor rewards the at least one user based on the evaluation of the response.

Abstract: The method includes receiving a first set of data from a first client device. The method further includes determining a first topic from the first set of data. The method further includes generating a first productivity value for the first topic. The method further includes receiving a second set of date data from a second client device. The method further includes determining a second topic from by the second set of data. The method further includes generating a second productivity value for second set of data. The method further includes comparing the first topic to the second topic. The method further includes in response to comparing the first topic and the second topic and determining the difference between the first productivity value and the second productivity value is above a threshold value, triggering an action.

Abstract: In an approach to determining an introduction of a user in a meeting, one or more computer processors retrieve a document containing information associated with a user, wherein the document includes one or more fragments describing the user. The one or more computer processors determine an audience of a meeting associated with the user. The one or more computer processors determine a description of the meeting. The one or more computer processors prioritize one or more of the one or more fragments, based, at least in part, on the audience of the meeting and on the description of the meeting. The one or more computer processors select one or more of the one or more fragments for the introduction of the user in the meeting, based, at least in part, on the prioritization of the one or more fragments.

Abstract: A system for verifying factual assertions in natural language. Receiving a text input. Identifying, a verifiable factual statement in the text. Forming a query based on the verifiable factual assertion. Searching a corpus based on the query. Determining the veracity of verifiable factual assertion based on the search results.

Abstract: A method for illuminating a mask to project a desired image pattern into a photoactive material is described. The method includes receiving an image pattern. Determining a relationship between source pixels in a set of source pixels to desired intensities at one or more points in the image pattern is performed. Linear constraints are imposed on a set of intensity values based on one or more contingent intensity condition. The contingent intensity conditions include integer variables specifying contingent constraints. The method includes determining values of the set of intensity values in accordance with the linear constraints, using a constrained optimization algorithm. The set of intensity values represents intensities of a set of source pixels. The set of intensity values are output. Apparatus and computer readable storage media are also described.

Abstract: A method, system, computer program product and table lookup system for calculating image intensity for a mask used in integrated circuit processing are disclosed. A method may comprise: decomposing a Manhattan polygon of the mask into decomposed areas based on parallel edges of the Manhattan polygon along only one dimension; determining a convolution of each decomposed area based on a table lookup; determining a sum of coherent systems contribution of the Manhattan polygon based on the convolutions of the decomposed areas; and outputting the determined sum of coherent system contribution for analyzing the mask.

Abstract: A method able to provide illumination source parameters for illumination of a lithographic mask in order to project a three-dimensional image into a resist system. Source intensities of incident beams are determined using a near linear program and responsive to an allowed range of variation. Computer program, apparatus and system are detailed and variations are described.

Abstract: A structure and a method for an equi-brightness optimization. The method may include projecting a plurality of bright patterns having a plurality of bright points and a plurality of dark patterns having a plurality of dark points on a substrate, generating a plurality of joint eigenvectors of the plurality of bright points and a plurality of dark points, selecting a predetermined number of joint eigenvectors to project the plurality of bright patterns, generating a plurality of natural sampling points from the plurality of bright points, wherein the plurality of natural sampling points has a substantially equal intensity, and obtaining a representation of an aperture from the plurality of natural sampling points, wherein an image of the representation of the aperture has a substantially uniform intensity.

Abstract: A method for illuminating a mask to project a desired image pattern into a photoactive material is described. The method includes receiving an image pattern. Determining a relationship between source pixels in a set of source pixels to desired intensities at one or more points in the image pattern is performed. Linear constraints are imposed on a set of intensity values based on one or more contingent intensity condition. The contingent intensity conditions include integer variables specifying contingent constraints. The method includes determining values of the set of intensity values in accordance with the linear constraints, using a constrained optimization algorithm. The set of intensity values represents intensities of a set of source pixels. The set of intensity values are output. Apparatus and computer readable storage media are also described.

Abstract: A structure and a method for an equi-brightness optimization. The method may include projecting a plurality of bright patterns having a plurality of bright points and a plurality of dark patterns having a plurality of dark points on a substrate, generating a plurality of joint eigenvectors of the plurality of bright points and a plurality of dark points, selecting a predetermined number of joint eigenvectors to project the plurality of bright patterns, generating a plurality of natural sampling points from the plurality of bright points, wherein the plurality of natural sampling points has a substantially equal intensity, and obtaining a representation of an aperture from the plurality of natural sampling points, wherein an image of the representation of the aperture has a substantially uniform intensity.

Abstract: A method, system, computer program product and table lookup system for calculating image intensity for a mask used in integrated circuit processing are disclosed. A method may comprise: decomposing a Manhattan polygon of the mask into decomposed areas based on parallel edges of the Manhattan polygon along only one dimension; determining a convolution of each decomposed area based on a table lookup; determining a sum of coherent systems contribution of the Manhattan polygon based on the convolutions of the decomposed areas; and outputting the determined sum of coherent system contribution for analyzing the mask.

Abstract: A method able to provide illumination source parameters for illumination of a lithographic mask in order to project a three-dimensional image into a resist system. Source intensities of incident beams are determined using a near linear program and responsive to an allowed range of variation. Computer program, apparatus and system are detailed and variations are described.