Abstract: A system for authentication for a user device associated with a user, said system comprising: a processing system to generate a first user interface running on a screen of said user device, said first user interface comprising one or more components, wherein said one or more components comprises a first icon, which when activated, directs a user to a second user interface to select a secret pattern, a second icon, which when activated, generates a current randomly populated keyboard, further wherein said processing system provides a current Personal Identification Number (PIN) to said user by correlating said secret pattern with the current randomly populated keyboard, and a regular keyboard for said user to enter a PIN for authentication.

Abstract: Systems and methods are disclosed for predicting one or more medical conditions utilizing digital images and employing artificial intelligent algorithms. The system offers accurate predictions utilizing quantized pre-trained deep learning model. The pre-trained deep learning model is trained on data samples and later refined as the system processes more digital images or new medical conditions are incorporated. One pre-trained deep learning model is used to predict the probability of one or more medical conditions and identify locations in the digital image effected by the one or more medical conditions. Further, one pre-trained deep learning model utilizing additional data and plurality of digital images, forecasts rate of infection and spread of the medical condition over time.

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: 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: 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: Systems and methods are disclosed for predicting one or more medical conditions utilizing digital images and employing artificial intelligent algorithms. The system offers accurate predictions utilizing quantized pre-trained deep learning model. The pre-trained deep learning model is trained on data samples and later refined as the system processes more digital images or new medical conditions are incorporated. One pre-trained deep learning model is used to predict the probability of one or more medical conditions and identify locations in the digital image effected by the one or more medical conditions. Further, one pre-trained deep learning model utilizing additional data and plurality of digital images, forecasts rate of infection and spread of the medical condition over time.

Abstract: Some embodiments include an integrated assembly having a carrier-sink-structure, and having digit lines over the carrier-sink-structure. Transistor body regions are over the digit lines. Extensions extend from the carrier-sink-structure to the transistor body regions. The extensions are configured to drain excess carriers from the transistor body regions. Lower source/drain regions are between the transistor body regions and the digit lines, and are coupled with the digit lines. Upper source/drain regions are over the transistor body regions, and are coupled with storage elements. Gates are adjacent the transistor body regions. The transistor body regions, lower source/drain regions and upper source/drain regions are together comprised a plurality of transistors. The transistors and the storage elements are together comprised by a plurality of memory cells of a memory array. Some embodiments include methods of forming integrated assemblies.

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: Systems and techniques are disclosed for generating entries for a searchable index based on rules generated by one or more machine-learned models. The index entries can include one or more tokens correlated with an outcome and an outcome probability. A subset of tokens can be identified based on the characteristics of an event. The index may be searched for outcomes and their respective probabilities that correspond to tokens that are similar to or match the subset of tokens based on the event.

Abstract: An example apparatus includes a first source/drain region and a second source/drain region formed in a substrate to form an active area of the apparatus. The first source/drain region and the second source/drain region are separated by a channel. The apparatus includes a gate opposing the channel. A sense line is coupled to the first source/drain region and a storage node is coupled to the second source/drain region. An isolation trench is adjacent to the active area. The trench includes a dielectric material with a conductive bias opposing the conductive bias of the channel in the active area.

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 authenticating a user using a user device connected to a communications network, the method comprising an implicit phase, wherein said implicit phase comprises performing at least one task within a workflow, said at least one task necessary to move forward within said workflow; storing information associated with said performing of at least one task; comparing said stored information with a stored user profile; and determining whether said authentication of said user is successful or unsuccessful based on said comparing.

Abstract: A system for authentication for a user device associated with a user, said system comprising: a processing system to generate a first user interface running on a screen of said user device, said first user interface comprising one or more components, wherein said one or more components comprises a first icon, which when activated, directs a user to a second user interface to select a secret pattern, a second icon, which when activated, generates a current randomly populated keyboard, further wherein said processing system provides a current Personal Identification Number (PIN) to said user by correlating said secret pattern with the current randomly populated keyboard, and a regular keyboard for said user to enter a PIN for authentication.

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 techniques are disclosed for generating entries for a searchable index based on rules generated by one or more machine-learned models. The index entries can include one or more tokens correlated with an outcome and an outcome probability. A subset of tokens can be identified based on the characteristics of an event. The index may be searched for outcomes and their respective probabilities that correspond to tokens that are similar to or match the subset of tokens based on the event.

Abstract: An example apparatus includes a first source/drain region and a second source/drain region formed in a substrate to form an active area of the apparatus. The first source/drain region and the second source/drain region are separated by a channel. The apparatus includes a gate opposing the channel. A sense line is coupled to the first source/drain region and a storage node is coupled to the second source/drain region. An isolation trench is adjacent to the active area. The trench includes a dielectric material with a conductive bias opposing the conductive bias of the channel in the active area.

Abstract: Disclosed herein is a method and a system for generating a mixed precision quantization model for performing image processing. The method comprises receiving a validation dataset of images to train a neural network model. The method comprises for each image of the validation dataset, generating a union sensitivity list, selecting a group of layers, generating a mixed precision quantization model by quantizing the selected group of layers into a high precision format; computing accuracy of the mixed precision quantization model for comparison with a target accuracy; in response to determining the accuracy is less than the target accuracy, generating another mixed precision model by selecting a next group of layers and computing the accuracy. In response to determining the accuracy is greater than or equal to the target accuracy, storing the mixed precision quantization model as a final mixed precision quantization model for image processing.

Abstract: A variety of applications can include apparatus having a transistor comprising a modified channel region to address sub-surface leakage issues of the transistor. A dielectric region can be structured to extend from a channel structure of the transistor downward into the substrate for the transistor, with the dielectric region disposed between the source of the transistor and the drain of the transistor to reduce leakage current paths between the source and the drain. The dielectric region can be structured with only dielectric material or with crystalline semiconductor material surrounded by dielectric material.

Abstract: A method for authenticating a user using a user device connected to a communications network, the method comprising an implicit phase, wherein said implicit phase comprises performing at least one task within a workflow, said at least one task necessary to move forward within said workflow; storing information associated with said performing of at least one task; comparing said stored information with a stored user profile; and determining whether said authentication of said user is successful or unsuccessful based on said comparing.