Abstract: Systems, methods, and articles to provide customized control of a cooking appliance, such as a sous vide cooker. A user provides a selection of one or more ending characteristics for a food product. A processor-based device determines one or more output food preparation parameters based on the user's selection of the one or more ending characteristics. Measurements of temperature, power delivery, or other characteristics may be obtained during cooking process. A cooking program controlling the cooking process may be revised or updated based at least in part on the obtained measurements or analysis of the measurements. Estimations or projections about the cooking process may be presented to a user via a user interface of the cooking appliance or a user interface of one or more computing devices (e.g., smartphone, tablet computer) associated with the user.

Abstract: Systems, methods, and articles to provide customized control of a cooking appliance, such as a sous vide cooker. A user provides a selection of one or more ending characteristics for a food product. A processor-based device determines one or more output food preparation parameters based on the user's selection of the one or more ending characteristics. Measurements of temperature, power delivery, or other characteristics may be obtained during cooking process. A cooking program controlling the cooking process may be revised or updated based at least in part on the obtained measurements or analysis of the measurements. Estimations or projections about the cooking process may be presented to a user via a user interface of the cooking appliance or a user interface of a computing device (e.g., smartphone) associated with the user.

Abstract: A cooking appliance generates a recipe based on detected weights of multiple ingredients and receives a parameter for cooking the food. In another aspect, the cooking appliance can receive a recipe defining a process for cooking food and an amount of at least a first ingredient in the recipe for the food. Based on the recipe and the amount of the first ingredient added to the container, the cooking appliance generates a wirelessly output instruction for cooking the food. In another aspect, a processor of the cooking appliance detects a physical state of the cooking appliance responsive to an electrical signal and applies a setting to the cooking appliance to cook the food. The cooking appliance can include an LED gauge including multiple LEDs. The processor can selectively turn on one or more of the LEDs based on the set parameter value of the cooking appliance.

Abstract: A thermal immersion circulator can comprise a heater including a hollow cylindrical main body having an inlet opening at a first end thereof and an outlet opening in a side wall thereof. The heater can include a flexible circuit board having a plurality of resistive bands controlled by controlling electronics such as TRIACs, which can be water-cooled. A thermal immersion circulator including such a heater can be used in scientific laboratories or sous vide food cooking.

Abstract: Predictive cooking systems and methods. A representative system can include a cooking device submergible in a container of fluid and a memory device storing instructions for causing a processor to receive information and determine heater set point temperature and on time. The processor can receive information indicative of one or more characteristics of a food item to be cooked in the fluid and a desired food temperature. The processor can perform a control process that can include sending instructions for controlling a heater, obtaining a temperature measurement of the fluid from a temperature sensor, determining a measurement of power delivered to the heater, determining constants related to corresponding physical characteristics of the fluid and/or the container based on at least one of the temperature measurement and the measurement of power, and determining a food temperature of the food item.

Abstract: Systems, methods, and articles to provide customized cooking instructions to users via a communications device. The user is provided with audio/visual prompts depicting one or more ending characteristics of a food product, such as texture or doneness. The user provides a selection of the one or more ending characteristics according to the user's preferences. A processor-based device determines one or more output food preparation parameters based on the user's selection of the one or more ending characteristics for the food product. The one or more determined output food preparation parameters are provided to a communication device of the user so that the user may cook the food product according to the output food preparation parameters.

Abstract: Systems, methods, and articles to provide customized cooking instructions to users via a communications device. The user is provided with audio/visual prompts depicting one or more ending characteristics of a food product, such as texture or doneness. The user provides a selection of the one or more ending characteristics according to the user's preferences. A processor-based device determines one or more output food preparation parameters based on the user's selection of the one or more ending characteristics for the food product. The one or more determined output food preparation parameters are provided to a communication device of the user so that the user may cook the food product according to the output food preparation parameters.

Abstract: Embodiments are disclosed for a query processing system configured to receive user submitted questions and provide answers to the user submitted questions. In an example embodiment a system receives a user query from a user. The system then determines if a response is available that matches an intent of the user query above a threshold confidence level. The systems then prompts the user for permission to enable access to the user query to other users. If permission is granted, the system then enables access to the user query to the user users. Responses to the user query received from one or more of the other users are then output to the user, for example, via a computing device or an appliance. Further, in some embodiments, feedback received from the user regarding output responses can be used to train machine learning models associated with the system.