Abstract: Methods, systems, and computer readable storage media for using image processing to develop a library of facial expressions. The system can receive digital video of at least one speaker, then execute image processing on the video to identify landmarks within facial features of the speaker. The system can also identify vectors based on the landmarks, then assign each vector to an expression, resulting in a plurality of speaker expressions. The system then scores the expressions based on similarity to one another, and creates subsets based on the similarity scores.

Abstract: An automated food making apparatus having a carousel and at least one canister. The at least one canister may include a disposable bag having ingredients therein, with the disposable bag being disposed at an upper portion of the canister. The at least one canister may further include a reusable lower portion configured to be removably attached to the disposable bag. The reusable lower portion may further include a paddle to aid in dispensing ingredients from the disposable bag. The automated food making apparatus may further include a dispensing apparatus that is configured to dispense ingredients from the disposable bag.

Abstract: Methods, systems, and computer readable storage media for using image processing to develop a library of facial expressions. The system can receive digital video of at least one speaker, then execute image processing on the video to identify landmarks within facial features of the speaker. The system can also identify vectors based on the landmarks, then assign each vector to an expression, resulting in a plurality of speaker expressions. The system then scores the expressions based on similarity to one another, and creates subsets based on the similarity scores.

Abstract: A method for operating an automated food making apparatus having a motor, actuator arm, and an apparatus. The apparatus may be a paddle with flexible fins. The method rotates the paddle with a pin-shaft mechanism to dispense an ingredient placed in a canister, controls the motor automatically based on weight sensor readings, and locates a position of the actuator arm with position sensors. The same motor dispenses ingredients from a plurality of canisters. The method may have a plurality of paddle rotation and weight measurement steps until a target weight is reached. The plurality of paddle rotation steps may be unidirectional or bidirectional paddle rotation. The paddle may be rotated according to one or more paddle rotation algorithms, an error recovery algorithm, or different algorithms based on the amounts of ingredients remaining in the canister. The paddle may be rocked until the target weight is achieved.

Abstract: Provided are a device comprising a bit cell tile including at least two memory cells, each of the at least two memory cells including a resistive memory element, and methods of operating an array of the memory cells, each memory cell including a resistive memory element electrically coupled in series to a corresponding first transistor and to a corresponding second transistor, the first transistor including a first gate coupled to a corresponding one of a plurality of first word lines and the second transistor including a second gate coupled to a corresponding one of a plurality of second word lines, each memory cell coupled between a corresponding one of a plurality of bit lines and a corresponding one of a plurality of source lines. The methods may include applying voltages to the first word line, second word line, source line, and bit line of a memory cell selected for an operation, and resetting the resistive memory element of the memory cell in response to setting the selected bit line to ground.

Abstract: Methods, systems, and computer readable storage media for using image processing to develop a library of facial expressions. The system can receive digital video of at least one speaker, then execute image processing on the video to identify landmarks within facial features of the speaker. The system can also identify vectors based on the landmarks, then assign each vector to an expression, resulting in a plurality of speaker expressions. The system then scores the expressions based on similarity to one another, and creates subsets based on the similarity scores.

Abstract: Methods, systems, and computer readable storage media for using image processing to develop a library of facial expressions. The system can receive digital video of at least one speaker, then execute image processing on the video to identify landmarks within facial features of the speaker. The system can also identify vectors based on the landmarks, then assign each vector to an expression, resulting in a plurality of speaker expressions. The system then scores the expressions based on similarity to one another, and creates subsets based on the similarity scores.

Abstract: Systems and methods of converting text into learning videos and assessments in different languages are described. A system receives content in a first language, then conducts a sentiment analysis in that first language. The system then translates the content into a second language, and generates (via a text-to-speech algorithm) second language speech based on the translated content. The system transliterates the second language speech into the first language, producing one or more visemes, and determines facial expressions of an animated avatar speaking the second language speech using the sentiment analysis results and the one or more visemes. The system then generates an animated presentation with the animated avatar having the facial expressions while speaking the second language speech.

Abstract: Provided are a device comprising a bit cell tile including at least two memory cells, each of the at least two memory cells including a resistive memory element, and methods of operating an array of the memory cells, each memory cell including a resistive memory element electrically coupled in series to a corresponding first transistor and to a corresponding second transistor, the first transistor including a first gate coupled to a corresponding one of a plurality of first word lines and the second transistor including a second gate coupled to a corresponding one of a plurality of second word lines, each memory cell coupled between a corresponding one of a plurality of bit lines and a corresponding one of a plurality of source lines. The methods may include applying voltages to the first word line, second word line, source line, and bit line of a memory cell selected for an operation, and resetting the resistive memory element of the memory cell in response to setting the selected bit line to ground.

Abstract: A memory cell includes a first resistive memory element, a second resistive memory element electrically coupled with the first resistive memory element at a common node, and a switching element comprising an input terminal electrically coupled with the common node, the switching element comprising a driver configured to float during one or more operations.

Abstract: Provided are a device comprising a bit cell tile including at least two memory cells, each of the at least two memory cells including a resistive memory element, and methods of operating an array of the memory cells, each memory cell including a resistive memory element electrically coupled in series to a corresponding first transistor and to a corresponding second transistor, the first transistor including a first gate coupled to a corresponding one of a plurality of first word lines and the second transistor including a second gate coupled to a corresponding one of a plurality of second word lines, each memory cell coupled between a corresponding one of a plurality of bit lines and a corresponding one of a plurality of source lines. The methods may include applying voltages to the first word line, second word line, source line, and bit line of a memory cell selected for an operation, and resetting the resistive memory element of the memory cell in response to setting the selected bit line to ground.

Abstract: Methods, apparatus, and processor-readable storage media for incorporating data into search engines using deep learning mechanisms are provided herein. An example computer-implemented method includes extracting one or more features from a search query by applying one or more machine learning algorithms to the search query; generating one or more word vectors by applying at least one deep learning technique to the one or more extracted features; mapping the one or more generated word vectors to one or more words from a corpus of data by implementing at least one deep similarity network; and outputting one or more results in response to the search query, wherein the one or more results are based at least in part on the one or more words from the corpus to which the one or more generated word vectors were mapped.

Abstract: Methods, systems, and computer readable storage media for using image processing to develop a library of facial expressions. The system can receive digital video of at least one speaker, then execute image processing on the video to identify landmarks within facial features of the speaker. The system can also identify vectors based on the landmarks, then assign each vector to an expression, resulting in a plurality of speaker expressions. The system then scores the expressions based on similarity to one another, and creates subsets based on the similarity scores.

Abstract: Methods, apparatus, and processor-readable storage media for learning machine behavior related to install base information and determining event sequences based thereon are provided herein. An example computer-implemented method includes parsing data storage information based at least in part on parameters related to install base information comprising temporal parameters and event-related parameters; formatting the parsed set of data storage information into a parsed set of sequential data storage information compatible with a neural network model; training the neural network model using the parsed set of sequential data storage information and additional training parameters; predicting, by applying the trained neural network model to the parsed set of sequential data storage information, a future data unavailability event and/or a future data loss event; and outputting an alert based at least in part on the predicted future data unavailability event and/or predicted future data loss event.

Abstract: A paint roller manufacturing system and method are described. In an embodiment, an inner strip of material and an outer strip of material are wound about a mandrel in offset relation. The inner strip of material and the outer strip of material each comprise material that results in a final paint roller which shrinks by less than 2.5 percent of the final paint roller axial length, or which has shrinkage that varies by less +/?0.1%, upon hardening and setting. An adhesive is applied to at least a portion of the outer strip as it is wound about the mandrel. A length of fabric is wound about at least the outer strip to form a paint roller tube, and compression is applied to the paint roller tube while advancing the paint roller tube in a direction parallel to the mandrel.

Abstract: Methods, apparatus, and processor-readable storage media for proactively predicting large orders and providing fulfillment support related thereto are provided herein. An example computer-implemented method includes classifying, via a first set of one or more machine learning techniques, a transaction quote as a transaction quote that exceeds one or more size-related parameters or a transaction quote that does not exceed the one or more size-related parameters; determining, if the transaction quote is classified as a transaction quote that exceeds one or more size-related parameters, supportability of converting the transaction quote into a transaction order via a second set of one or more machine learning techniques; and outputting, based on the determined supportability, information pertaining to converting the transaction quote into a transaction order and fulfilling the transaction order to one or more entities associated with transaction order fulfillment.

Abstract: Technology that facilitates prediction of order-fulfillment abeyance are disclosed. Exemplary implementations may: obtain order details of an inchoate order from an orderer; predict that the inchoate order, upon submission, would be have its fulfillment held in abeyance; and in response to the abeyance prediction, disable submission of the inchoate order with the obtained order details.

Abstract: A memory cell includes a first resistive memory element, a second resistive memory element electrically coupled with the first resistive memory element at a common node, and a switching element comprising an input terminal electrically coupled with the common node, the switching element comprising a driver configured to float during one or more operations.

Abstract: Technology that facilitates the encouragement of conversion of customers during their online journeys is disclosed. Exemplary implementations may: monitor an online journey of a customer with an entity; profile the customer to select a persona of a plurality of personas; predict a lack of conversion by the customer during the monitored online journey of the customer; and in response to the prediction, offer an optional online path forward for the customer's online journey to the customer.

Abstract: A memory cell includes a first resistive memory element, a second resistive memory element electrically coupled with the first resistive memory element at a common node, and a switching element comprising an input terminal electrically coupled with the common node, the switching element comprising a driver configured to float during one or more operations.