Intel Corporation

Ronen Aharon Soffer

Omri Mendels

Oded Vainas

Noam Sagi

Rami Mayer

Oren Pereg

Omer Shmuel Peri

Amir Yessachar

Gil Sharon

Amir Yissachar

Gili Ilan

Apparatus, systems, and/or methods may provide travel assistance. For example, a determination may be made that a user is to begin driving in the near future. In addition, a determination may be made of one or more predicted destinations when the user is to begin driving in the near future. Thus, travel assistance may be provided to the user based on the one or more predicted destinations when the user is to begin driving in the near future.

Travel assistance

Various techniques for performing contextual event scheduling with an event scheduling service are disclosed herein. In an example, data is processed at an event scheduling service, based on the use of a trained machine learning model that is specific to a user. This trained machine learning model is operated by the event scheduling service determine a proposed time and proposed scheduling parameters based on the contextual information, to identify a proposed event time and event scheduling parameters based on the model, the data indicating a user state, or external data. Further examples to evaluate user activity and identify schedule characteristics based on data inputs from a user's mobile computing device, wearable sensors, and external weather, traffic, or event data sources, are also disclosed.

Contextual model-based event scheduling

Methods, apparatus, and system to parse an unstructured, natural language input of a user, infer a semantic meaning of an intent of the user, and determine a present or future user state, including a location and a time, in which the intent can be fulfilled.

Natural language intent and location determination method and apparatus

A method for location-based assistance includes maintaining in a personal digital assistant (PDA) () a data structure that is indicative of a state of a user () of the PDA. Responsively to the state, a map () is generated in the PDA indicating targets () within an area of relevance surround a present location of the user. Based on the map, the PDA provides a suggestion to the user of an action to be taken by the user with respect to one or more of the targets.

Location-based assistance for personal planning

A method for navigation includes receiving in a mobile computing device () a designation of an origin () and a destination () of an itinerary of a user of the device. An optimal primary route () is computed from the origin to the destination. Multiple points of interest () are identified in proximity to the optimal primary route. A respective first optimal sub-route () is computed between the origin and each of the points of interest, and a respective second optimal sub-route () is computed between the destination and each of the points of interest. One or more alternative routes () from the origin to the destination via one or more of the points of interest are presented to the user on the mobile computing device, by combining the respective first and second optimal sub-routes computed for the one or more of the points of interest.

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Tel Aviv, Israel

Ronen Aharon Soffer