International Business Machines Corporation

Stephen Ronald Haertel

Lior Aronovich

Kiran Mantripragada

Laura J Bennett

Ting Xue

Wing Hon Lee

Jenna Lau Caruso

Geetha Kola

Samaya Madhavan

A computer-implemented system and method operate an automatic and adaptive animal behavioral system. The system receives user configuration and feedback, and generates a training set based on online animal behavior patterns and received user feedback. The system trains one or multiple models based on the training set, if the training set is sufficiently large. It then validates the models, and provides system generated classifications and action types and levels for animal's behavior patterns, if the models' accuracy rate is above a threshold.

Operating an automated and adaptive animal behavioral training system using machine learning

The method provides for detecting information associated with consumed food. Data associated with detection events of food for possible consumption by a user is received from a plurality of sources. The data of detected food is parsed using a first criteria and parsing of event metadata is done using a second criteria and the data received from the detection event. Aggregate data is created for the food items by combining the detected food item data and the respective metadata of the detection event. An ordered list of food items from the aggregate data is generated and arranged according to a determined user consumption probability for the ordered list food items. The aggregate data of respective food items of the ordered list includes nutritional information of macronutrients and calories, accessed from a database, and the list of food items potentially consumed by the user are formatted into a predetermined form.

Automatic tracking of probable consumed food items

A computer-implemented method according to one embodiment includes identifying a request to create a consumer within a converged system. Additionally, the method includes defining the consumer within a hierarchy of consumers, where the consumer represents a function in an organization. Further, the method includes associating the consumer with a plurality of storage resources and a plurality of computing resources. Further still, the method includes setting a storage capacity attribute for the consumer.

Management and utilization of storage capacities in a converged system

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Markham, Canada

Stephen Ronald Haertel