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: A system, method, and computer-readable medium for performing a payment tracking operation. Factors, that include input, features and attributes of various customers are received and processed. The processing includes imputing, deleting and converting the factors for further refinement for machine learning. The machine learning processes the factors using succeeding layers that include random forest to categorize customers, multivariate regression to determine which factors have the greatest effects on payment. In addition, a recurrent neural network approach is used to further refine the factors and provide a more accurate analysis.

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: Methods, apparatus, and processor-readable storage media for dynamically determining customer intent and related recommendations using deep learning techniques are provided herein.

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: A memory device comprises: an array of memory cells arranged in a plurality of columns in a first direction and a plurality of rows in a second direction, wherein each memory cell in the array comprises: a select transistor, wherein a source terminal of the select transistor is coupled to a source line, and wherein a gate terminal of the select transistor is coupled to a word line, and a memory element coupled in series with the select transistor, wherein a first end of the memory element is coupled to a drain terminal of the select transistor, and wherein a second end of the memory element is coupled to a bit line; and a control circuit configured to provide an unselected source line voltage to source lines of unselected memory cells before providing a selected word line voltage to a word line of a selected memory cell.

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 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: A system, method, and computer-readable medium for performing artificial intelligence (AI) to enhance productivity and efficiency of a sales process by identifying prospective customers by a proactive approach. Stacked recurring neural networks are implemented to classify existing and prospective customers, and to learn and determine sales processes and sales pipelines. Sales patterns of existing customers are identified. Based on the sales patterns, classification is performed as to customers. Prospective customers are identified based on the sales patterns. A recommendation is made as to which prospective customers to target. Sales process and sales pipeline of prospective customers are determined to allow for proactive actions to be performed in the sales process and sales pipeline.

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 path suggestion tool in a Software-Defined Networking (SDN) architecture to predict a router's future usage based on an analysis of the router's historical usage over a given period of time in the past and to recommend a routing path within the network in view of the predicted future usages of the routers/switches in the network. The path suggestion tool is an analytical, plug-and-play model usable as part of an SDN controller to provide more insights into different routing paths based on the future usage of each router. A Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) model in the suggestion tool analyzes the historical usage data of a router to predict its future usage. A Deep Boltzmann Machine (DBM) model in the suggestion tool recommends a routing path within the SDN-based network upon analysis of the LSTM-RNN based predicted future usages of routers/switches in the network.

Abstract: In an embodiment, a paint roller manufacturing system and method uses a fabric-coating applicator to apply a fabric adhesive onto a portion of a perforated paint roller cover fabric material having a plurality of perforations through which adhesive may flow, and into the plurality of perforations and into interstitial spaces of the fabric material, to yield a length of coated fabric. An inner strip and an outer strip are wound about a mandrel in offset relation. A strip-coating applicator is used to apply a strip adhesive to the outer strip as it is wound about the mandrel. Simultaneously with the step of applying the strip adhesive to the outer strip, a portion of the coated paint roller fabric material is received at the outer strip and the length of coated fabric is wound about at least the outer strip to form a paint roller tube.

Abstract: A system for integrated performance measurement environment comprises a plurality of composite data from a plurality of composite data sources, wherein the plurality of composite data further comprises a plurality of structured data, a plurality of unstructured data, and a plurality of signal data; an extract transform load module; a database receiving the plurality of composite data from extract transform load module and storing the plurality of composite data as the plurality of stored data; a business logic module; at least one graphical user interface; a set of graphical presentations of a plurality of processed data comprising charts, graphs, reports, and tables, and a combination thereof on a computer device; and at least one network; and methods performing the same including extracting, transforming, and loading composite data into the system, retrieving data in accordance with rules in metrics catalog and business intelligence blocks, drilling down the metrics catalog and business intelligence blocks,

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 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. A precision measuring or sensing device is used to control a cutting device causing the cutting device to cut the advancing paint roller tube into pre-selected lengths prior to the paint roller tube hardening and setting.

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. A precision measuring or sensing device is used to control a cutting device causing the cutting device to cut the advancing paint roller tube into pre-selected lengths prior to the paint roller tube hardening and setting.

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: 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: In an embodiment, a paint roller manufacturing system and method uses a fabric-coating applicator to apply a fabric adhesive onto a portion of a perforated paint roller cover fabric material having a plurality of perforations through which adhesive may flow, and into the plurality of perforations and into interstitial spaces of the fabric material, to yield a length of coated fabric. An inner strip and an outer strip are wound about a mandrel in offset relation. A strip-coating applicator is used to apply a strip adhesive to the outer strip as it is wound about the mandrel. Simultaneously with the step of applying the strip adhesive to the outer strip, a portion of the coated paint roller fabric material is received at the outer strip and the length of coated fabric is wound about at least the outer strip to form a paint roller tube.

Abstract: A memory device comprises: an array of memory cells arranged in a plurality of columns in a first direction and a plurality of rows in a second direction, wherein each memory cell in the array comprises: a select transistor, wherein a source terminal of the select transistor is coupled to a source line, and wherein a gate terminal of the select transistor is coupled to a word line, and a memory element coupled in series with the select transistor, wherein a first end of the memory element is coupled to a drain terminal of the select transistor, and wherein a second end of the memory element is coupled to a bit line; and a control circuit configured to provide an unselected source line voltage to source lines of unselected memory cells before providing a selected word line voltage to a word line of a selected memory cell.