Abstract: Described are techniques for automated labeling of cybersecurity incidents. The techniques include generating a set of labels for a received cybersecurity incident based on features of the received cybersecurity incident. The techniques further include prioritizing the set of labels to generate a subset of labels, and associating the subset of labels to the received cybersecurity incident.

Abstract: There is provided a system and method for examining a semiconductor specimen. The method includes obtaining a runtime image of the specimen, and providing the runtime image as an input to an end-to-end (E2E) learning model to process, thereby obtaining, as an output of the E2E learning model, runtime measurement data specific for a metrology application. The E2E learning model is previously trained for the metrology application using a training set comprising a plurality of training images of the specimen and respective ground truth measurement data associated therewith, and one or more cost functions specifically configured to evaluate, for the plurality of training images and corresponding training measurement data outputted by the E2E learning model, one or more metrology benchmarks from a group comprising precision, correlation, and matching.

Abstract: Systems, apparatuses, and methods of fluid delivery for liquid electrophotography printing. A fluid delivery apparatus includes a charged ink source, a supplemental fluid source, a working suspension tank in fluid communication with the charged ink source and the supplemental fluid source, a sensor, and an optical density control unit. The charged ink source is to store a charged ink mixture including charge directors and toner particles. The supplemental fluid source is to store a supplemental fluid including imaging oil. The working suspension tank is to store a working suspension mixture including the charge directors, the toner particles, and the imaging oil. The sensor is to monitor an optical density of print output of the liquid electrophotography printing apparatus. The optical density control unit is to determine whether to supply an uncharged ink mixture to the working suspension tank in response to the monitored optical density indicating electrical fatigue.

Abstract: A liquid electrophotographic (LEP) ink composition is described. The composition comprises: a pigment particle having an acidic surface modification; a basic charge director selected from:(i) a polymeric amine dispersant having a Total Base Number of at least 100 mg KOH/gram material, and (ii) a sulfosuccinate salt of the general formula MAn, wherein M is a metal, n is the valence of M, and A is an ion of the general formula (I): [R1—O—C(O)CH2CH(SO3)C(O)—O—R2]? (I); and a liquid carrier. The ink composition does not include a thermoplastic resin. Also described are a method of producing the ink composition, and a method of printing using the ink composition.

Abstract: A computing system, computer program product, and computer-implemented method for quantitative comment summarization are provided. The method includes receiving a collection of comments, identifying a set of candidate key points corresponding to the collection of comments, and selecting a subset of key points from the set of candidate key points, wherein the selected subset of key points includes key points that are most salient in the collection of comments. The method also includes automatically mapping each comment within the collection of comments to any corresponding key points within the subset of key points based on a match score between each comment and key point pair, as well as generating a summary including the subset of key points and an absolute number or percentage of the comments mapped to each key point.

Abstract: Automated detection of personal information in free text, which includes: automatically applying a named-entity recognition (NER) algorithm to a digital text document, to detect named entities appearing in the digital text document, wherein the named entities are selected from the group consisting of: at least one person-type entity, and at least one non-person-type entity; automatically detecting at least one relation between the named entities, by applying a parts-of-speech (POS) tagging algorithm and a dependency parsing algorithm to sentences of the digital text document which contain the detected named entities; automatically estimating whether the at least one relation between the named entities is indicative of personal information; and automatically issuing a notification of a result of the estimation.

Abstract: A method of calibrating a developer unit of a liquid electrophotographic printer, the method comprising: setting a developer roller voltage and iteratively printing a patch on a print medium using different electrode voltages until a hue of a patch printed using one of the electrode voltages is within a tolerance of a target hue; and setting an electrode voltage based on said one of the electrode voltages and iteratively printing a patch on a print medium using different developer roller voltages until a hue of a patch printed using one of the developer roller voltages is within the tolerance of the target hue.

Abstract: A computerized text analysis method that comprises: searching a resource of information with a search query comprising at least one of: (a) the specific debatable topic, and (b) a personal derivation of the specific debatable topic, to obtain a list of indices whose index subject contains the personal derivation and/or the specific debatable topic; determining, by applying a rule-based classifier, whether the index subject of each of the indices is (i) in favor of the debatable topic or (ii) against the debatable topic; detecting, in each of the indices, hyperlinks to encyclopedic entries whose entry subjects are person names; and determining that: if the index subject of each of the one or more indices is in favor of the specific debatable topic, then the persons are in favor of the specific debatable topic, and vice versa.

Abstract: A computerized text analysis method that comprises: searching a resource of information with a search query comprising at least one of: (a) the specific debatable topic, and (b) a personal derivation of the specific debatable topic, to obtain a list of indices whose index subject contains the personal derivation and/or the specific debatable topic; determining, by applying a rule-based classifier, whether the index subject of each of the indices is (i) in favor of the debatable topic or (ii) against the debatable topic; detecting, in each of the indices, hyperlinks to encyclopedic entries whose entry subjects are person names; and determining that: if the index subject of each of the one or more indices is in favor of the specific debatable topic, then the persons are in favor of the specific debatable topic, and vice versa.

Abstract: A method for quantifying a similarity between a target dataset and multiple source datasets and identifying one or more source datasets that are most similar to the target dataset is provided. The method includes receiving, at a computing system, source datasets relating to a source domain and a target dataset relating to a target domain of interest. Each dataset is arranged in a tabular format including columns and rows, and the source datasets and the target dataset include a same feature space. The method also includes pre-processing, via a processor of the computing system, each source-target dataset pair to remove non-intersecting columns. The method further includes calculating at least two of a dataset similarity score, a row similarity score, and a column similarity score for each source-target dataset pair, and summarizing the calculated similarity scores to identify one or more source datasets that are most similar to the target dataset.

Abstract: A method including: generating, from a text corpus, a lexicon of unigrams and bigrams comprising an embedding for each of said unigrams and bigrams; training a machine learning classifier on a training set comprising a subset of said lexicon, wherein each of said unigrams and bigrams in said subset has a sentiment label; applying said machine learning classifier to said lexicon, to (i) predict a sentiment of each of said unigrams and bigrams, and (ii) update said lexicon with the predicted sentiments; and performing statistical analysis on said updated lexicon, to extract one or more sentiment composition lexicons, wherein each of said one or more sentiment composition lexicons is associated with a sentiment composition class.

Abstract: Described herein is magenta ink composition, comprising a pigment consisting of one or more quinacridone pigments; a resin; and a polymeric amine dispersant having a Total Base Number of at least 300 mg KOH/gram. Also described herein is a method of printing comprising applying the magenta ink composition to a substrate, and a printed substrate comprising the magenta ink composition.

Abstract: In one aspect, the present disclosure relates to a liquid electrophotographic electrode ink composition comprising: a thermoplastic polymer comprising a copolymer of an olefin and acrylic acid and/or methacrylic acid; an electroactive material comprising a lithium intercalation material; a charge adjuvant, and a liquid carrier.

Abstract: A method for quantifying a similarity between a target dataset and multiple source datasets and identifying one or more source datasets that are most similar to the target dataset is provided. The method includes receiving, at a computing system, source datasets relating to a source domain and a target dataset relating to a target domain of interest. Each dataset is arranged in a tabular format including columns and rows, and the source datasets and the target dataset include a same feature space. The method also includes pre-processing, via a processor of the computing system, each source-target dataset pair to remove non-intersecting columns. The method further includes calculating at least two of a dataset similarity score, a row similarity score, and a column similarity score for each source-target dataset pair, and summarizing the calculated similarity scores to identify one or more source datasets that are most similar to the target dataset.

Abstract: Described herein is a yellow liquid electrophotographic ink composition comprising: a thermoplastic resin comprising a polymer having acidic side groups; and a colorant comprising a yellow pigment, wherein the yellow pigment comprises a hydrazone compound. Also described herein is a method of producing a printed substrate using the yellow liquid electrophotographic ink composition and a printed substrate produced therefrom.

Abstract: A method, computer program product and computer system are provided. A processor retrieves a target file for inspection of malware. A processor converts the target file to a time domain format. A processor determines one or more time-frequency domain features of the converted target file. A processor generates a malicious classification for the target file based on the one or more time-frequency domain features of the converted target file and one or more classification models.

Abstract: A method of calibrating a developer unit of a liquid electrophotographic printer, the method comprising: setting a developer roller voltage and iteratively printing a patch on a print medium using different electrode voltages until a hue of a patch printed using one of the electrode voltages is within a tolerance of a target hue; and setting an electrode voltage based on said one of the electrode voltages and iteratively printing a patch on a print medium using different developer roller voltages until a hue of a patch printed using one of the developer roller voltages is within the tolerance of the target hue.

Abstract: Herein is described a liquid electrophotographic (LEP) ink composition comprising: a hydrocarbon carrier liquid; a resin; a colorant comprising a conjugated compound; and a component selected from: an amine-containing basic dispersant having a total base number greater than about 300 mgKOH/g material; or an amine-containing compound having a pKa of 8 or more at 25° C.; or urea.

Abstract: Systems and methods are described, including a system (100) for automatically ascertaining a height characteristic of a contaminant (104) on a travel surface (102). The system (100) comprises an illumination and imaging device (106). At a first time, when the travel surface (102) is generally free of contaminant, the illumination and imaging device (106) illuminates the travel surface (102) with at least one light beam (119), and images at least one impingement of the at least one light beam (119). At a second time, when the travel surface (102) is covered by a layer of contaminant (104), the illumination and imaging device (106) illuminates the travel surface with a light beam (132), and images an impingement of the light beam on an impingement surface (107). In response to the imaging, a computer (130) calculates the height characteristic of the contaminant. Other embodiments are also described.

Abstract: In one aspect, the present disclosure relates to a liquid electrophotographic electrode ink composition comprising: a thermoplastic polymer comprising a copolymer of an olefin and acrylic acid and/or methacrylic acid; an electroactive material comprising a lithium intercalation material; a charge adjuvant, and a liquid carrier.