Abstract: An electronic knife assembly and associated systems and methods are disclosed herein. In some embodiments, the knife includes a blade and a handle operably couplable to the blade. The handle can include an oscillator operably coupled to the blade, at least one sensor configured to obtain one or more measurements, and a controller operably coupled to the oscillator and the least one sensor. The measurements from the sensor can include a spatial position of the electronic knife, a spatial orientation of the electronic knife, a mass of a user's hand, a grip of the user's hand, and/or a resistance to the oscillation of the blade. The controller can adjust an operating frequency of the oscillator based at least partially on the one or more measurements from the at least one sensor. The handle can also include a wireless power supply.

Abstract: Grinders, analyzers, and related technologies are described herein. The grinders can hold foodstuff that is periodically ground. The analyzers can analyze the foodstuff to determine information about the state of the foodstuff. Algorithms can be used to determine how to process the foodstuff, how to use the foodstuff, and/or when to discard the foodstuff. The grinder can be a portable, rechargeable electric coffee grinder configured to monitor the freshness of the coffee beans. When coffee beans become stale, they can be discarded and the coffee grinder can be refilled with fresh coffee beans.

Abstract: Smart defaults are provided for data visualization by creating a default layout of rows, columns, filters, and comparable elements that improve a user's experience in finding relevant answers within the data. Usage history of the ways that users look at data in various data sources, user specific information, and inferred relationships between a current user and similar users are used to determine elements relevant to visualization of data for a particular user such that the visualization process may be automatically started, and a relevance model is formed/adjusted based on these factors. Queries may also be executed in a preemptive fashion based on the relevance model and results provided to a requesting user more rapidly enhancing user experience with networked data visualization.

Abstract: Grinders, analyzers, and related technologies are described herein. The grinders can hold foodstuff that is periodically ground. The analyzers can analyze the foodstuff to determine information about the state of the foodstuff. Algorithms can be used to determine how to process the foodstuff, how to use the foodstuff, and/or when to discard the foodstuff. The grinder can be a portable, rechargeable electric coffee grinder configured to monitor the freshness of the coffee beans. When coffee beans become stale, they can be discarded and the coffee grinder can be refilled with fresh coffee beans.

Abstract: Disclosed herein include embodiments related to an ultra-high surface area French Fry product extruded from dough by a device and requiring a fraction of the cooking time compared with standard French fries, as well as producing a French Fry product that is crispier than standard French fries.

Abstract: Smart defaults are provided for data visualization by creating a default layout of rows, columns, filters, and comparable elements that improve a user's experience in finding relevant answers within the data. Usage history of the ways that users look at data in various data sources, user specific information, and inferred relationships between a current user and similar users are used to determine elements relevant to visualization of data for a particular user such that the visualization process may be automatically started, and a relevance model is formed/adjusted based on these factors. Queries may also be executed in a preemptive fashion based on the relevance model and results provided to a requesting user more rapidly enhancing user experience with networked data visualization.

Abstract: Smart defaults are provided for data visualization by creating a default layout of rows, columns, filters, and comparable elements that improve a user's experience in finding relevant answers within the data. Usage history of the ways that users look at data in various data sources, user specific information, and inferred relationships between a current user and similar users are used to determine elements relevant to visualization of data for a particular user such that the visualization process may be automatically started, and a relevance model is formed/adjusted based on these factors. Queries may also be executed in a preemptive fashion based on the relevance model and results provided to a requesting user more rapidly enhancing user experience with networked data visualization.

Abstract: Smart defaults are provided for data visualization by creating a default layout of rows, columns, filters, and comparable elements that improve a user's experience in finding relevant answers within the data. Usage history of the ways that users look at data in various data sources, user specific information, and inferred relationships between a current user and similar users are used to determine elements relevant to visualization of data for a particular user such that the visualization process may be automatically started, and a relevance model is formed/adjusted based on these factors. Queries may also be executed in a preemptive fashion based on the relevance model and results provided to a requesting user more rapidly enhancing user experience with networked data visualization.

Abstract: Digital cameras are enabled to tag pictures with short range transmitter information from nearby devices. After uploading to a personal computer, a photo application further tags a user profile identifier matching the short range transmitter information. Tagged pictures are stored in a server for presentation. Any user with nearby device identifier or the nearby device itself can authenticate themselves to the server for automated access to tagged pictures.

Abstract: Performance metrics data in a multi-dimensional structure such as a nested scorecard matrix is transformed into a flat structure or de-normalized for efficient querying of individual records. Each dimension and header is converted to a column and data values resolved at intersection of dimension levels through an iterative process covering all dimensions and headers of the data structure. A key corresponding to a tuple representation of each cell or a transform of the tuple may be used to identify rows corresponding to the resolved data in cells for further enhanced query capabilities.