Abstract: There is a need for more effective and efficient predictive data analysis solutions and/or more effective and efficient solutions for generating image representations of categorical/scalar data. Various embodiments of the present invention address one or more of the noted technical challenges. In one example, a method comprises receiving the one or more categorical input features; generating an image representation of the one or more categorical input features, wherein the image representation comprises image region values each associated with a categorical input feature, and further wherein each image region value of the one or more image region values is determined based at least in part on the corresponding categorical input feature associated with the image region value; and processing the image representation using an image-based machine learning model to generate the image-based predictions.

Abstract: A method for securely processing data to prevent unauthorized access is provided. The method includes the steps of splitting data into components and with a sequence of a first hashing, a first encryption, a second hashing, a second encryption, and a third hashing, that optimizes the security of the data. The method further provides steps to securely retrieve, update and delete the data once the data has been securely stored.

Abstract: The present application relates to systems and methods for processing organic material. The methods may include extraction of biochemical nutrients from organic material, such as food scraps. The method can include comminuting the organic material to form a slurry from components comprising liquid and organic material; combining the slurry with microorganisms, such as a yeast, under aerobic conditions to form a mixture of the slurry and yeast; aerating the mixture; and forming a biomass and a nutrient-rich broth, in which the biochemical nutrients are stabilized and anabolized. The systems may, in some embodiments, be configured to perform the methods of processing organic materials.

Abstract: There is a need for more effective and efficient predictive data analysis solutions and/or more effective and efficient solutions for generating image representations of categorical/scalar data. Various embodiments of the present invention address one or more of the noted technical challenges. In one example, a method comprises receiving the one or more categorical input features; generating an image representation of the one or more categorical input features, wherein the image representation comprises image region values each associated with a categorical input feature, and further wherein each image region value of the one or more image region values is determined based at least in part on the corresponding categorical input feature associated with the image region value; and processing the image representation using an image-based machine learning model to generate the image-based predictions.

Abstract: There is a need for more effective and efficient predictive data analysis solutions and/or more effective and efficient solutions for generating image representations of categorical/scalar data. Various embodiments of the present invention address one or more of the noted technical challenges. In one example, a method comprises receiving the one or more categorical input features; generating an image representation of the one or more categorical input features, wherein the image representation comprises image region values each associated with a categorical input feature, and further wherein each image region value of the one or more image region values is determined based at least in part on the corresponding categorical input feature associated with the image region value; and processing the image representation using an image-based machine learning model to generate the image-based predictions.

Abstract: There is a need for more effective and efficient predictive data analysis solutions and/or more effective and efficient solutions for generating image representations of categorical/scalar data. Various embodiments of the present invention address one or more of the noted technical challenges. In one example, a method comprises receiving the one or more categorical input features; generating an image representation of the one or more categorical input features, wherein the image representation comprises image region values each associated with a categorical input feature, and further wherein each image region value of the one or more image region values is determined based at least in part on the corresponding categorical input feature associated with the image region value; and processing the image representation using an image-based machine learning model to generate the image-based predictions.

Abstract: There is a need for more effective and efficient predictive data analysis solutions and/or more effective and efficient solutions for generating image representations of categorical/scalar data. Various embodiments of the present invention address one or more of the noted technical challenges. In one example, a method comprises receiving the one or more categorical input features; generating an image representation of the one or more categorical input features, wherein the image representation comprises image region values each associated with a categorical input feature, and further wherein each image region value of the one or more image region values is determined based at least in part on the corresponding categorical input feature associated with the image region value; and processing the image representation using an image-based machine learning model to generate the image-based predictions.

Abstract: Systems and methods for predictive technology incident reduction are disclosed. In one embodiment, in an information processing apparatus comprising at least one computer processor, a method for predictive technology incident reduction may include: (1) receiving a change record for a proposed change to a computer application or a computer network infrastructure; (2) analyzing the potential change for an adverse potential cross impact with another computer application or a computer system; (3) predicting a probability of failure and an impact of the proposed change using a model; (4) in response to a low predicted probability of failure, or a high predicted probability of failure with a low predicted impact: approving the proposed change; and implementing the proposed change; and (5) in response to a high predicted probability of failure and a high predicted impact, rejecting the proposed change.

Abstract: Systems and methods for predictive technology incident reduction are disclosed. In one embodiment, in an information processing apparatus comprising at least one computer processor, a method for predictive technology incident reduction may include: (1) receiving a change record for a proposed change to a computer application or a computer network infrastructure; (2) analyzing the potential change for an adverse potential cross impact with another computer application or a computer system; (3) predicting a probability of failure and an impact of the proposed change using a model; (4) in response to a low predicted probability of failure, or a high predicted probability of failure with a low predicted impact: approving the proposed change; and implementing the proposed change; and (5) in response to a high predicted probability of failure and a high predicted impact, rejecting the proposed change.

Abstract: A method for securely processing data to prevent unauthorized access is provided. The method includes the steps of splitting data into components and with a sequence of a first hashing, a first encryption, a second hashing, a second encryption, and a third hashing, that optimizes the security of the data. The method further provides steps to securely retrieve, update and delete the data once the data has been securely stored.

Abstract: The present application relates to systems and methods for processing organic material. The methods may include extraction of biochemical nutrients from organic material, such as food scraps. The method can include comminuting the organic material to form a slurry from components comprising liquid and organic material; combining the slurry with microorganisms, such as a yeast, under aerobic conditions to form a mixture of the slurry and yeast; aerating the mixture; and forming a biomass and a nutrient-rich broth, in which the biochemical nutrients are stabilized and anabolized. The systems may, in some embodiments, be configured to perform the methods of processing organic materials.

Abstract: The present application relates to systems and methods for processing organic material. The methods may include extraction of biochemical nutrients from organic material, such as food scraps. The method can include comminuting the organic material to form a slurry from components comprising liquid and organic material; combining the slurry with microorganisms, such as a yeast, under aerobic conditions to form a mixture of the slurry and yeast; aerating the mixture; and forming a biomass and a nutrient-rich broth, in which the biochemical nutrients are stabilized and anabolized. The systems may, in some embodiments, be configured to perform the methods of processing organic materials.

Abstract: The present application relates to systems and methods for processing organic material. The methods may include extraction of biochemical nutrients from organic material, such as food scraps. The method can include comminuting the organic material to form a slurry from components comprising liquid and organic material; combining the slurry with microorganisms, such as a yeast, under aerobic conditions to form a mixture of the slurry and yeast; aerating the mixture; and forming a biomass and a nutrient-rich broth, in which the biochemical nutrients are stabilized and anabolized. The systems may, in some embodiments, be configured to perform the methods of processing organic materials.

Abstract: Systems and methods for predictive technology incident reduction are disclosed. In one embodiment, in an information processing apparatus comprising at least one computer processor, a method for predictive technology incident reduction may include: (1) receiving a change record for a proposed change to a computer application or a computer network infrastructure; (2) analyzing the potential change for an adverse potential cross impact with another computer application or a computer system; (3) predicting a probability of failure and an impact of the proposed change using a model; (4) in response to a low predicted probability of failure, or a high predicted probability of failure with a low predicted impact: approving the proposed change; and implementing the proposed change; and (5) in response to a high predicted probability of failure and a high predicted impact, rejecting the proposed change.

Abstract: The present method provides for conversion of handwritten to data that is accurate and fast, yet with improved security. The method provides handwritten data split into two or more components and, thus, provided, out of context, for conversion into printed data, and for the secured transmittal of printed data for assembly into context for transmission to the client. The present disclosure also provides for storage of the unassembled data for future use.

Abstract: The present application relates to systems and methods for processing organic material. The methods may include extraction of biochemical nutrients from organic material, such as food scraps. The method can include comminuting the organic material to form a slurry from components comprising liquid and organic material; combining the slurry with microorganisms, such as a yeast, under aerobic conditions to form a mixture of the slurry and yeast; aerating the mixture; and forming a biomass and a nutrient-rich broth, in which the biochemical nutrients are stabilized and anabolized. The systems may, in some embodiments, be configured to perform the methods of processing organic materials.

Abstract: The present method provides for conversion of handwritten to data that is accurate and fast, yet with improved security. The method provides handwritten data split into two or more components and, thus, provided, out of context, for conversion into printed data, and for the secured transmittal of printed data for assembly into context for transmission to the client. The present disclosure also provides for storage of the unassembled data for future use.

Abstract: Disclosed is a lid for a drinking cup with a detachable headband. The lid is removably securable to a drinking cup to prevent or minimize spills. A wearable headband attaches to the lid, frictionally secured between at least two protrusions extending upwardly from the top surface of the lid. The headband is attached to the lid by snapping it into place between the two protrusions and can be detached from the lid for wearing by a user. A recess may be formed in the lid between the protrusions so that an upper surface of the headband may extend generally flush with the upper surface of the lid.

Abstract: The present method provides for conversion of handwritten to data that is accurate and fast, yet with improved security. The method provides handwritten data split into two or more components and, thus, provided, out of context, for conversion into printed data, and for the secured transmittal of printed data for assembly into context for transmission to the client. The present disclosure also provides for storage of the unassembled data for future use.