Abstract: Technology is described that includes a method of surgical navigation. The method can include aligning an image data set with a body of a person. The image data set may include a virtual surgical annotation with visual attributes identifying structure to be treated. Locations of a portion of an instrument may be tracked with respect to the virtual surgical annotation (e.g., drill bit tips, burrs, scalpels, etc.). The visual attributes of at least one sub-area of the virtual surgical annotation may be modified based in part on tracked locations of the portion of the instrument, using an AR headset. For example, the sub-areas maybe changed from red to green, black or transparent as seen through the AR headset.

Abstract: Technology is described for referencing anatomical structure using an AR headset. The method can include registering a marker located on a distal anatomical structure. The marker may have a pose that includes a position and orientation in a 3D coordinate system of the AR headset. Another operation may be identifying a proximal anatomical structure to which the distal anatomical structure is connected. The marker may be registered at a second pose having a second position and second orientation. A joint pivot axis and angle may be determined with respect to the proximal anatomical structure by comparing the first pose and the second pose. The joint pivot axis may then be displayed, using the AR headset. The technology may also use a pointer device to automatically find an anatomic path and anatomic length.

Abstract: The present disclosure relates generally to a beverage nucleator system that can initiate ice crystal nucleation by application of a directed flow of pressurized gas to the exterior of the fluid container containing a supercooled beverage. More specifically, the present disclosure relates to a beverage nucleator system for a supercooled beverage container which may include a frame having a beverage container aperture for receiving a beverage container therein and a gas outlet positioned within the beverage container aperture for directing a flow of pressurized gas at a beverage container received therein.

Abstract: The present disclosure relates generally to a beverage nucleator system that can initiate ice crystal nucleation by application of a directed flow of pressurized gas to the exterior of the fluid container containing a supercooled beverage. More specifically, the present disclosure relates to a beverage nucleator system for a supercooled beverage container which may include a frame having a beverage container aperture for receiving a beverage container therein and a gas outlet positioned within the beverage container aperture for directing a flow of pressurized gas at a beverage container received therein.

Abstract: A method and a system for using machine learning technology to optimize a scheduling strategy for establishing contact with a customer are provided. The method includes: receiving a data set that relates to a customer account; analyzing the data set to determine at least one proposed schedule for an attempt to contact the customer; and generating, based on a result of the analysis, a report that includes the proposed schedule. The analysis may be performed by applying a machine learning model that is trained by using historical data that relates to interactions associated with the customer.

Abstract: A microwave appliance provides safe heating of packaged food products at an efficiency greater than 90%. A temperature sensor positioned about a product holder is configured to sense a temperature of the package. A product identification scanner identifies a type of food product, a type of packaging, and/or a size of packaging being inserted into the microwave appliance. The product identification may be used to obtain a dielectric constant and/or electrical conductivity of the product. An electric field detector verifies that a suitable product has been inserted into the microwave appliance and is used to estimate a volume of the packaged food product. Accordingly, even partially full packaged food products may be safely re-heated to a desired temperature. As opposed to a time-based operation with traditional microwave appliances, operation of the microwave appliance may be adjusted based on the product identification scanner, temperature sensor, and electric field detector.

Abstract: This invention relates to compounds which are microtubule associated serine/threonine-like kinase (MASTL) inhibitors and the use of the compounds in the treatment of diseases and medical conditions mediated by MASTL, for example in the treatment of cancer and other target related diseases.

Abstract: A microwave appliance provides safe heating of packaged food products at an efficiency greater than 90%. A temperature sensor positioned about a product holder is configured to sense a temperature of the package. A product identification scanner identifies a type of food product, a type of packaging, and/or a size of packaging being inserted into the microwave appliance. The product identification may be used to obtain a dielectric constant and/or electrical conductivity of the product. An electric field detector verifies that a suitable product has been inserted into the microwave appliance and is used to estimate a volume of the packaged food product. Accordingly, even partially full packaged food products may be safely re-heated to a desired temperature. As opposed to a time-based operation with traditional microwave appliances, operation of the microwave appliance may be adjusted based on the product identification scanner, temperature sensor, and electric field detector.

Abstract: A computer-implemented method, computer system, and computer program product for threat management. A set of features used by a machine learning model is collected by the computer system to determine a threat type for an access attempt when the access attempt is detected. A cluster is determined, by the machine learning model in the computer system, for the access attempt using the set of features, wherein the machine learning model implements clustering to determine the cluster for the access attempt, and wherein the cluster for the access attempt corresponds to the threat type for the access attempt. A set of actions is performed by the machine learning model in the computer system based on the threat type determined for the access attempt.

Abstract: An apparatus has a memory with processor-executable instructions and a processor operatively coupled to the memory. The apparatus receives datasets including time series data points that are descriptive of a feature of a given entity. The processor determines a time series characteristic based on the data content, and selects, based on the determined characteristic, a set of entrant forecasting models from a pool of forecasting models stored in the memory. Next, the processor trains each entrant forecasting model with the time series data points to produce a set of trained entrant forecasting models. The processor executes each trained entrant forecasting model to generate a set of forecasted values indicating estimations of the feature of the given entity. Thereafter the processor selects at least one forecasting model from the set of trained entrant forecasting models based on computed accuracy evaluations performed over the set of forecasted values.

Abstract: A computer-implemented method, computer system, and computer program product for threat management. A set of features used by a machine learning model is collected by the computer system to determine a threat type for an access attempt when the access attempt is detected. A cluster is determined, by the machine learning model in the computer system, for the access attempt using the set of features, wherein the machine learning model implements clustering to determine the cluster for the access attempt, and wherein the cluster for the access attempt corresponds to the threat type for the access attempt. A set of actions is performed by the machine learning model in the computer system based on the threat type determined for the access attempt.

Abstract: An apparatus has a memory with processor-executable instructions and a processor operatively coupled to the memory. The apparatus receives datasets including time series data points that are descriptive of a feature of a given entity. The processor determines a time series characteristic based on the data content, and selects, based on the determined characteristic, a set of entrant forecasting models from a pool of forecasting models stored in the memory. Next, the processor trains each entrant forecasting model with the time series data points to produce a set of trained entrant forecasting models. The processor executes each trained entrant forecasting model to generate a set of forecasted values indicating estimations of the feature of the given entity. Thereafter the processor selects at least one forecasting model from the set of trained entrant forecasting models based on computed accuracy evaluations performed over the set of forecasted values.

Abstract: A microwave appliance provides safe heating of packaged food products at an efficiency greater than 90%. A temperature sensor positioned about a product holder is configured to sense a temperature of the package. A product identification scanner identifies a type of food product, a type of packaging, and/or a size of packaging being inserted into the microwave appliance. The product identification may be used to obtain a dielectric constant and/or electrical conductivity of the product. An electric field detector verifies that a suitable product has been inserted into the microwave appliance and is used to estimate a volume of the packaged food product. Accordingly, even partially full packaged food products may be safely re-heated to a desired temperature. As opposed to a time-based operation with traditional microwave appliances, operation of the microwave appliance may be adjusted based on the product identification scanner, temperature sensor, and electric field detector.

Abstract: The present disclosure relates generally to a beverage nucleator system that can initiate ice crystal nucleation by application of a directed flow of pressurized gas to the exterior of the fluid container containing a supercooled beverage. More specifically, the present disclosure relates to a beverage nucleator system for a supercooled beverage container which may include a frame having a beverage container aperture for receiving a beverage container therein and a gas outlet positioned within the beverage container aperture for directing a flow of pressurized gas at a beverage container received therein.

Abstract: A display device includes a housing with a grid assembly received therein. A plurality of light assemblies is coupled to the grid assembly, for example in a grid pattern to create a dynamic display area. Each of light assemblies has an actuator assembly, with each one of the actuator assemblies being individually controllable to move the corresponding light assembly between a retracted state and a plurality of extended states. A controller is coupled to each of the plurality of light assemblies and programmed to control the actuator assemblies to move the light assemblies between the retracted state and the plurality of extended states.

Abstract: A display device includes a housing with a grid assembly received therein. A plurality of light assemblies is coupled to the grid assembly, for example in a grid pattern to create a dynamic display area. Each of light assemblies has an actuator assembly, with each one of the actuator assemblies being individually controllable to move the corresponding light assembly between a retracted state and a plurality of extended states. A controller is coupled to each of the plurality of light assemblies and programmed to control the actuator assemblies to move the light assemblies between the retracted state and the plurality of extended states.

Abstract: A display device includes a base structure, a plurality of modules coupled to the base structure, where each of the modules include a plurality of actuator assemblies. Each of the actuator assemblies is individually controllable to move the actuator assemblies between a retracted state and a plurality of extended states. A controller is coupled to each of the modules and is programmed to control the actuator assemblies to move the actuator assemblies between the retracted state and the plurality of extended states.

Abstract: A display device includes a base structure, a plurality of modules coupled to the base structure, where each of the modules include a plurality of actuator assemblies. Each of the actuator assemblies is individually controllable to move the actuator assemblies between a retracted state and a plurality of extended states. A controller is coupled to each of the modules and is programmed to control the actuator assemblies to move the actuator assemblies between the retracted state and the plurality of extended states.

Abstract: An apparatus has a memory with processor-executable instructions and a processor operatively coupled to the memory. The apparatus receives datasets including time series data points that are descriptive of a feature of a given entity. The processor determines a time series characteristic based on the data content, and selects, based on the determined characteristic, a set of entrant forecasting models from a pool of forecasting models stored in the memory. Next, the processor trains each entrant forecasting model with the time series data points to produce a set of trained entrant forecasting models. The processor executes each trained entrant forecasting model to generate a set of forecasted values indicating estimations of the feature of the given entity. Thereafter the processor selects at least one forecasting model from the set of trained entrant forecasting models based on computed accuracy evaluations performed over the set of forecasted values.

Abstract: A display device includes a base structure, a plurality of modules coupled to the base structure, where each of the modules include a plurality of actuator assemblies. Each of the actuator assemblies is individually controllable to move the actuator assemblies between a retracted state and a plurality of extended states. A controller is coupled to each of the modules and is programmed to control the actuator assemblies to move the actuator assemblies between the retracted state and the plurality of extended states.