Abstract: Method of generating configurations of computing products, including receiving images of a particular layout of the computing product; analyzing the particular layout, including identifying computing components of the computing product and determining a thermal mapping of the computing product; identifying physical constraints associated with the computing components of the computing product; identifying product profile of the computing product that indicates, for each computing component, features of the computing component; iteratively permutating, based on the physical constraints associated with the computing components and the thermal mapping, the particular layout to define permutated layouts; iteratively permutating each of the permutated layouts based on combinations of features of each of the computing components of the particular layout; generating, for the computing component, data table indicating each of the permutated layouts of the computing product and each of the combinations of features of e

Abstract: Prediction market trends of computing products, including: for each computing product: identifying, from a storage device, a product profile of the computing product, including a list of a plurality of computing components associated with the computing product, wherein the list of the plurality of computing components includes, for each computing component, a plurality of features of the computing component; determining, based on the product profile of the computing product, computational capabilities of the computing product; identifying electronic documents associated with the computing product; calculating, based on the electronic documents, product sentiment, market data, and financial data results associated with the computing product; generating, using a market prediction model, market trend data associated with the computing products based on the product sentiment, market data, and financial data results associated with the computing products; and updating the model based on the generated market trend

Abstract: Crawling electronic documents, including: for each electronic document of a plurality of electronic documents: obtaining the electronic document including obtaining an entirety of the HyperText Markup Language (HTML) of the electronic document; analyzing the electronic document to identify a plurality of elements of the electronic document, each element of the plurality of elements including HTML tags, text associated with the HTML tags, and HTML attributes; creating a plurality of clusters of texts based on a similarity of the HTML tags, the text associated with the HTML tags, and the HTML attributes of each of the plurality of elements; labeling, for each cluster of the plurality of clusters, the cluster based on the text associated with the HTML tags of one element of the cluster; and updating, for each cluster of the plurality of clusters, an electronic document crawling model with data indicating the label of the cluster.

Abstract: A method of determining an accreditation of a review entity of a computing product, including calculating an anonymity score of the electronic document based on publicly available data of the entity; calculating a content specificity score of the electronic document based on a text analysis of the electronic document; calculating a perspective view score of the electronic document based on a sentiment of the electronic document; calculating a usage context score of the electronic document based on workload mentions within the electronic document; calculating a reliability score of the electronic document based on i) the anonymity score, ii) the content specificity score, iii) the perspective view score, iv) the usage context score; calculating an acceptance score of the electronic document based on user-interaction data of the electronic document; calculating a credibility score of the electronic document based on a weighted average of the reliability score and the acceptance score.

Abstract: A computer-implemented method of normalizing disparate inputs between electronic documents, including determining, for each feature of each computing component, an occurrence probability of the feature across the electronic documents; identifying a predefined weight of each feature of each computing component; calculating a heuristic weight of the feature based on i) the predefined weight of the feature and ii) the occurrence probability of the feature; determining a minimum and a maximum heuristic weight of each of the features of the computing component; determining a computing component similarity ratio of the computing component between any subset of the electronic documents based on the minimum and the maximum heuristic weight of the computing component of each electronic document of the subset; determining a document similarity ratio between a particular electronic document and another electronic document based on the computing component similarity ratio of each computing component shared by the electro

Abstract: Method of generating configurations of computing products, including receiving images of a particular layout of the computing product; analyzing the particular layout, including identifying computing components of the computing product and determining a thermal mapping of the computing product; identifying physical constraints associated with the computing components of the computing product; identifying product profile of the computing product that indicates, for each computing component, features of the computing component; iteratively permutating, based on the physical constraints associated with the computing components and the thermal mapping, the particular layout to define permutated layouts; iteratively permutating each of the permutated layouts based on combinations of features of each of the computing components of the particular layout; generating, for the computing component, data table indicating each of the permutated layouts of the computing product and each of the combinations of features of e

Abstract: Method of identifying computing products from a search query, including receiving a search query including a word string; analyzing the search query to determine that the word string does not refer to a particular computing product; in response to determining that the word string of the search query does not refer to a particular computing product, identifying words of the word string; identifying, from an index, a plurality of computing components based on the words of the word string; generating a plurality of search terms, each search term based on a differing combination of one or more computing components of the plurality of computing components and a word of the words of the word string; and identifying, from the index, one or more computing products based on the plurality of search terms

Abstract: A method of analyzing a particular computing product, including: receiving a plurality of images of a particular layout of the particular computing product; segmenting, using a classification model, the plurality of images to identify computing components of the particular computing product; analyzing the particular layout, including, for each computing component of the particular layout: approximating a physical size of the computing component; identifying a predetermined layout weight of the computing component; determining a proximity of the component to each other computing component; calculating a computing component score for the computing component for the particular layout based on i) the physical size of the computing component, ii) the predetermined layout weight of the computing component, and iii) the proximity of the computing component to each other computing component; and determining a layout score of the particular layout based on the computing component score of each of the computing compone

Abstract: Method of identifying search terms for an electronic document search engine, including comparing market trend data with the product profiles of each of the computing products; identifying target computing components and target features of the market trend data absent from the product profiles of the computing products; iteratively generating, based on the target computing components, layouts of the targeted computing product; iteratively permutating each of the layouts of the targeted computing product based on combinations of the target features of each of the target computing components of each of the layouts; identifying a product profile of the computing products including a list of computing components associated with the computing products; comparing the product profile of the computing product with each of the permutated layouts of a targeted computing product of; identifying a permutated layout that has a greatest difference in similarity score with the computing product.

Abstract: Generating targeted computing products, including: generating market trend data associated with the computing products; comparing the market trend data with the product profiles of each of the computing products; identifying, based on the comparing, target computing components and target features of the market trend data absent from the product profiles of the computing products; iteratively generating, based on the target computing components, a plurality of layouts of a targeted computing product; iteratively permutating each of the plurality of layouts of the targeted computing product based on a plurality of combinations of the target features of each of the target computing components of each of the plurality of layouts; generating, for the targeted computing product, a data table indicating each of the plurality of permutated layouts and each of the combinations of the target features of each of the target computing components of each of the plurality of permutated layouts.

Abstract: A method of determining a configuration of a computing product, including identifying a list of computing components associated with the computing product, the list includes features of each computing component; for each computing component: determining, based on the pre-defined weight associated with each feature of the computing component, a maximum and a minimum pre-defined weight of pre-defined weights associated with respective features for the computing component; determining, based on the maximum and the minimum pre-defined weights, combinations of the features for the computing component; creating configurations of the computing components based on each of the combinations of features of each of the computing components; for each configuration: determining a total weight of the configuration based on the pre-defined weights of the combination of features for each of the computing components of the configuration; updating, based on the total weight for the configuration, product specification data asso

Abstract: Crawling electronic documents, including: for each electronic document of a plurality of electronic documents: obtaining the electronic document including obtaining an entirety of the HyperText Markup Language (HTML) of the electronic document; analyzing the electronic document to identify a plurality of elements of the electronic document, each element of the plurality of elements including HTML tags, text associated with the HTML tags, and HTML attributes; creating a plurality of clusters of texts based on a similarity of the HTML tags, the text associated with the HTML tags, and the HTML attributes of each of the plurality of elements; labeling, for each cluster of the plurality of clusters, the cluster based on the text associated with the HTML tags of one element of the cluster; and updating, for each cluster of the plurality of clusters, an electronic document crawling model with data indicating the label of the cluster.

Abstract: In one or more embodiments, an information handling system may include an information indication assembly. For example, the information indication assembly may include at least one light emitter; multiple conductors coupled to the at least one light emitter; a pin that includes a rigid material and that permits the first plurality of conductors to pass through; and a grommet that includes an elastic material and configured to house the pin. In one instance, the pin and the grommet may be aligned along a longitudinal axis of the information indication assembly. In a second instance the pin and the grommet form a fastener of a fan associated with the information handling system. In another instance, the elastic material may mitigate vibrations from the fan. In one or more embodiments, a printed circuit board may include the multiple conductors. For example, the printed circuit board may be a flexible printed circuit board.

Abstract: Embodiments may be generally directed to a system for generating reactive acoustic energy for reducing acoustic noise in a chassis of an information handling system. A set of acoustically reactive elements may be positioned relative to a backplane comprising a plurality of backplane openings. Each acoustically reactive element comprises a plurality of walls and an acoustical energy reducing opening. The plurality of walls define an internal volume, wherein at least one wall is aligned parallel with a direction of airflow. The acoustical energy reducing opening may be oriented substantially parallel with the direction of the airflow and configured for the airflow passing the acoustically reactive element to pass the acoustical energy reducing opening to generate acoustic energy at a frequency based on the set of parameters of the acoustically reactive element.

Abstract: In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may: determine a first value associated with vibrations within an information handling system (IHS); determine that the first value meets or exceeds a first threshold value; after determining that the first value meets or exceeds the first threshold value: receive first data to store via at least one hard disk drive; and store the first data via at least one solid state memory medium; determine a second value associated with vibrations within the IHS; determine that the second value does not meet or exceed the first threshold value; and in response to determining that the second value does not meet or exceed the first threshold value: retrieve the first data from the at least one solid state memory medium; and store the first data via the at least one hard disk drive.

Abstract: Embodiments may be directed to a codesigned shroud for a chassis comprising a plurality of components and a plurality of fans generating a plurality of airflows to cool the plurality of components. The codesigned shroud may have a plurality of walls defining a plurality of channels, wherein at least two walls of the plurality of walls define each channel of the plurality of channels. Each channel may be aligned with a direction of an airflow of the plurality of airflows. At least one channel includes a set of baffles oriented substantially perpendicular to the direction of an airflow in the channel. Each baffle may be formed with acoustically absorbent material to absorb acoustic energy that could affect performance of a component, wherein a first baffle of the set of baffles is offset from a second baffle of the set of baffles.

Abstract: Embodiments may be generally directed to a system for generating reactive acoustic energy for reducing acoustic noise in a chassis of an information handling system. A set of acoustically reactive elements may be positioned relative to a backplane comprising a plurality of backplane openings. Each acoustically reactive element comprises a plurality of walls and an acoustical energy reducing opening. The plurality of walls define an internal volume, wherein at least one wall is aligned parallel with a direction of airflow.

Abstract: Embodiments may be directed to a codesigned shroud for a chassis comprising a plurality of components and a plurality of fans generating a plurality of airflows to cool the plurality of components. The codesigned shroud may have a plurality of walls defining a plurality of channels, wherein at least two walls of the plurality of walls define each channel of the plurality of channels. Each channel may be aligned with a direction of an airflow of the plurality of airflows. At least one channel includes a set of baffles oriented substantially perpendicular to the direction of an airflow in the channel. Each baffle may be formed with acoustically absorbent material to absorb acoustic energy that could affect performance of a component, wherein a first baffle of the set of baffles is offset from a second baffle of the set of baffles.

Abstract: In one or more embodiments, an information handling system may include an information indication assembly. For example, the information indication assembly may include at least one light emitter; multiple conductors coupled to the at least one light emitter; a pin that includes a rigid material and that permits the first plurality of conductors to pass through; and a grommet that includes an elastic material and configured to house the pin. In one instance, the pin and the grommet may be aligned along a longitudinal axis of the information indication assembly. In a second instance the pin and the grommet form a fastener of a fan associated with the information handling system. In another instance, the elastic material may mitigate vibrations from the fan. In one or more embodiments, a printed circuit board may include the multiple conductors. For example, the printed circuit board may be a flexible printed circuit board.

Abstract: In one or more embodiments, one or more systems may comprise a system for reducing acoustic energy in a chassis, the system comprising an acoustically absorbent material configured to fill a volume in the chassis between a set of fans and a set of components. A plurality of ducts formed in the acoustically absorbent material prevents turbulent shedding around obstacles and areas of recirculation to streamline the airflows and the acoustically absorbent material absorbs acoustic energy traveling through the ducts.