Abstract: Methods of additive manufacturing, binder compositions for additive manufacturing, and articles produced by and/or associated with methods of additive manufacturing are generally described.

Abstract: A computer system for predicting an anomaly behavior (fraudulent behavior) for a user of a smart shopping cart (physical receptacle). The computer system gathers data associated with a physical activity of the user, the user being physically present at a location of a retailer and adding one or more items from the location of the retailer to the physical receptacle. The computer system applies a computer model to detect, based on the gathered data, one or more anomalies during the physical activity of the user, the one or more anomalies being indicative of the fraudulent behavior. In response to determining that the one or more detected anomalies satisfy a threshold condition for the fraudulent behavior, the computer system sends a communication to a management system of the retailer to cause at least one remedial action to be performed before the user physically leaves the location of the retailer.

Abstract: In some aspects, a server determines an input provided to a generative artificial intelligence, parses the input to determine: a type of content to generate, a content description, and creator identifiers. The server embeds the input into a shared language-image space to create an input embedding. The server determines a creator description comprising a creator-based embedding associated with individual creators. The server performs a comparison of the input embedding to the creator-based embedding associated with individual creators to determine a distance measurement of an embedding of individual creators in the input embedding. The server determines creator attributions based on the distance measurement and creates a creator attribution vector to provide compensation to the creators.

Abstract: In some aspects, a device may determine an output embedding associated with an output produced by a generative artificial intelligence and determine a distance measurement between the output embedding and individual content-related embeddings of a plurality of content-related embeddings to create a plurality of distance measurements. The device may correlate the plurality of distance measurements to a plurality of content creators that created multiple content items used to train the generative artificial intelligence to determine one or more creator attributions. The device may determine a creator attribution vector that includes the one or more creator attributions and initiate providing compensation to one or more content creators of the plurality of content creators.

Abstract: A method for binder jetting a three-dimensional (3D) object includes receiving a geometry of the object to be printed and generating instructions for printing the object. Generating the instructions includes slicing the geometry of the object into a series of cross-sectional shapes corresponding to where a binder fluid will be deposited onto a powder bed to form the object, and including a plurality of negatively printed features within at least some of the series of cross-sectional shapes, wherein an amount of binder fluid to be deposited in the negatively printed features is less than an amount of binder fluid to be deposited in a remainder of the cross-sectional shape. The amount of binder fluid to be deposited in the negatively printed features and a size of the negatively printed features is configured to allow gas to escape from the powder bed.

Abstract: A method of sharing Personal Identifying Information comprising; inputting one or more PII fields into a search institution to be matched; normalizing one or more fields of PII data by converting to a standard format; generating one or more fields of PII data are combined; creating a Bloom filter, Bloom filter concatenates the combined one or more fields of PII; MurmurHashing concatenated combined one or more fields of PII are multiplied by one or more constants, then rotated, then divide by thirty-two; Base64encoding, wherein each Bloom filter combinations are counted and converted to an ASCII binary format, converted combinations are divided into six characters and a decimal value; matching six characters and the decimal value are hashed with a secret key, then hash a second time with a hash function, then mix with the secret key, then hash for a third time with a hash function, then output a result.

Abstract: In some aspects, a server, after determining that a training of an artificial intelligence has been completed to create a trained artificial intelligence, determines an attribution vector created during the training of the artificial intelligence, determines that the trained artificial intelligence has received an input, and generates, using the trained artificial intelligence, an output based on the input. The server determines an attribution determination for individual content creators of multiple content creators based on the attribution vector and based on identifying one or more of the creators that contributed at least a threshold amount during the training. A particular creator having a contribution less than the threshold amount does not receive a creator attribution. The server initiates providing compensation to one or more of the multiple content creators based at least in part on the attribution determination.

Abstract: Methods of additive manufacturing, binder compositions for additive manufacturing, and articles produced by and/or associated with methods of additive manufacturing are generally described.

Abstract: In some aspects, a server trains an artificial intelligence (AI) to create a trained AI. The training includes: selecting a content creator from multiple content creators to create a selected content creator, selecting a plurality of content items associated with the content creator to create selected content items, training the AI using the selected content items, determining a creator influence of the selected content creator on the trained AI based on an aggregate influence of the selected content items on the AI during the training, and including the creator influence in a static attribution vector. After the training is completed, the trained AI receives an input and generates an output. The server creates an attribution determination based at least in part on the static attribution vector and initiates providing compensation to one or more of the multiple content creators based at least in part on the attribution determination.

Abstract: In some aspects, a server determines that an AI has generated an initial output based on an initial input that identifies: a type of content, a first characteristic of the content, and a first amount of influence of the first characteristic. The server determines an initial output embedding associated with the initial output generated by the AI. The server determines that the AI has generated a subsequent output based on a subsequent input that identifies: a second characteristic and a second amount of influence of the second characteristic. The server determines a creator attribution vector based at least in part on: the first amount of influence of the first characteristic and the second amount of influence of the second characteristic. The server initiates providing compensation to one or more content creators of the plurality of content creators based on the creator attribution vector.

Abstract: In some aspects, a server trains an artificial intelligence (AI) to create a trained AI. The training includes: selecting a content creator from multiple content creators to create a selected content creator, selecting a plurality of content items associated with the content creator to create selected content items, training the AI using the selected content items, determining a creator influence of the selected content creator on the trained AI based on an aggregate influence of the selected content items on the AI during the training, and including the creator influence in a static attribution vector. After the training is completed, the trained AI receives an input and generates an output. The server creates an attribution determination based at least in part on the static attribution vector and initiates providing compensation to one or more of the multiple content creators based at least in part on the attribution determination.

Abstract: Methods of using grids in connection with suitable microscopy techniques, such as for determining the structure of target compounds including proteins, are disclosed. Said grid comprising a coating modified with one or more capture agents and a deactivating agent.

Abstract: Methods of additive manufacturing, binder compositions for additive manufacturing, and articles produced by and/or associated with methods of additive manufacturing are generally described.

Abstract: Devices, systems, and methods are directed to the use of vapor phase change in binder jetting processes for forming three-dimensional objects. In general, a vapor of a first fluid may be directed to a layer of a powder spread across a build volume. The vapor may condense to reduce mobility of the particles of the powder of the layer. For example, the condensing vapor may reduce the likelihood of particle ejection from the layer and, thus, may reduce the likelihood of clogging or otherwise degrading a printhead used to jet a second fluid (e.g., a binder) to the layer. Further, or instead, the condensing vapor may increase the density of the powder in the layer which, when repeated over a plurality of layers forming a three-dimensional object, may reduce the likelihood of slumping of the part during sintering.

Abstract: Devices, systems, and methods are directed to the use of vapor phase change in binder jetting processes for forming three-dimensional objects. In general, a vapor of a first fluid may be directed to a layer of a powder spread across a build volume. The vapor may condense to reduce mobility of the particles of the powder of the layer. For example, the condensing vapor may reduce the likelihood of particle ejection from the layer and, thus, may reduce the likelihood of clogging or otherwise degrading a printhead used to jet a second fluid (e.g., a binder) to the layer. Further, or instead, the condensing vapor may increase the density of the powder in the layer which, when repeated over a plurality of layers forming a three-dimensional object, may reduce the likelihood of slumping of the part during sintering.

Abstract: Devices, systems, and methods are directed to the use of vapor phase change in binder jetting processes for forming three-dimensional objects. In general, a vapor of a first fluid may be directed to a layer of a powder spread across a build volume. The vapor may condense to reduce mobility of the particles of the powder of the layer. For example, the condensing vapor may reduce the likelihood of particle ejection from the layer and, thus, may reduce the likelihood of clogging or otherwise degrading a printhead used to jet a second fluid (e.g., a binder) to the layer. Further, or instead, the condensing vapor may increase the density of the powder in the layer which, when repeated over a plurality of layers forming a three-dimensional object, may reduce the likelihood of slumping of the part during sintering.

Abstract: A method of metal additive manufacturing, including forming a three-dimensional object as a successive series of layers. At least some of the successive layers is formed by depositing a layer of build material powder on a work surface, depositing a predetermined pattern of fugitive fluid and depositing a predetermined pattern of binder fluid, wherein the predetermined pattern of fugitive fluid improves at least one characteristic of the three-dimensional part.

Abstract: A method for binder jetting a three-dimensional (3D) object includes receiving a geometry of the object to be printed and generating instructions for printing the object. Generating the instructions includes slicing the geometry of the object into a series of cross-sectional shapes corresponding to where a binder fluid will be deposited onto a powder bed to form the object, and including a plurality of negatively printed features within at least some of the series of cross-sectional shapes, wherein an amount of binder fluid to be deposited in the negatively printed features is less than an amount of binder fluid to be deposited in a remainder of the cross-sectional shape. The amount of binder fluid to be deposited in the negatively printed features and a size of the negatively printed features is configured to allow gas to escape from the powder bed.

Abstract: Devices, systems, and methods are directed to the use of vapor phase change in binder jetting processes for forming three-dimensional objects. In general, a vapor of a first fluid may be directed to a layer of a powder spread across a build volume. The vapor may condense to reduce mobility of the particles of the powder of the layer. For example, the condensing vapor may reduce the likelihood of particle ejection from the layer and, thus, may reduce the likelihood of clogging or otherwise degrading a printhead used to jet a second fluid (e.g., a binder) to the layer. Further, or instead, the condensing vapor may increase the density of the powder in the layer which, when repeated over a plurality of layers forming a three-dimensional object, may reduce the likelihood of slumping of the part during sintering.

Abstract: Methods of additive manufacturing, binder compositions for additive manufacturing, and articles produced by and/or associated with methods of additive manufacturing are generally described.