Abstract: According to an example aspect of the present invention, there is provided an apparatus comprising a memory configured to store a first token and a second token, and at least one processing core configured to obtain a first value based at least in part on the first token and the second token, and to cause the apparatus to participate in a security procedure, based at least in part on the first hash, with a second apparatus.

Abstract: According to an example aspect of the present invention, there is provided an apparatus comprising at least one processing core, at least one memory including computer program code, the at least one memory and the computer program code being configured to, with the at least one processing core, cause the apparatus at least to receive from a first device a digital key, receive from a second device an encrypted data item, decrypt the encrypted data item using the digital key to obtain a decrypted data item, and verify the decrypted data item matches a reference data item, and responsive to the decrypted data item matching the reference data item, grant access to at least one of the first device and the second device.

Abstract: A method comprising: determining, relative to a display, a point of view of a user of the display; controlling content displayed in the display in dependence upon the determination of the point of view of the user of the display.

Abstract: According to an example embodiment, a method is provided, the method comprising receiving, in a user device, over a first wireless link from a wearable device, a beaconing message that includes emergency information concerning a user wearing the wearable device, initiating, in the user device, in response to said beaconing message, an emergency call to a destination that hosts an emergency service entity, and relaying, by the user device, the emergency information received in the beaconing message from the wearable device to the emergency service entity via a second wireless link.

Abstract: Co-occurrence data representing e.g. preferences and facts observed in a plurality of situations may be stored in a matrix as combinations of high-dimensional sparse vectors. The matrix may be called e.g. as an experience matrix. The data stored in the experience matrix may be subsequently utilized e.g. for predicting a preference of a user in a new situation.

Abstract: A method comprising: identifying characteristic changes in radio environment arising from a person; and using the identified characteristic changes in radio environment arising from a person to predict when a person approaches a display apparatus and to pre-fetch data for the person.

Abstract: A method comprising: determining, relative to a display, a point of view of a user of the display; controlling content displayed in the display in dependence upon the determination of the point of view of the user of the display.

Abstract: A method comprising: identifying characteristic changes in radio environment arising from a person; and using the identified characteristic changes in radio environment arising from a person to predict when a person approaches a display apparatus and to pre-fetch data for the person.

Abstract: The invention relates to predictive browsing. A set of words for use with an experience matrix are formed, wherein the words are descriptive of a context of a system such as a current web page, and wherein said experience matrix comprises sparse vectors associated with words. At least a part of at least one sparse vector of said experience matrix is accessed to form a prediction output, and suggestions of web pages are provided to a user in response to said prediction output.

Abstract: According to an example embodiment, a method is provided, the method comprising receiving, in a user device, over a first wireless link from a wearable device, a beaconing message that includes emergency information concerning a user wearing the wearable device, initiating, in the user device, in response to said beaconing message, an emergency call to a destination that hosts an emergency service entity, and relaying, by the user device, the emergency information received in the beaconing message from the wearable device to the emergency service entity via a second wireless link.

Abstract: Embodiments are disclosed for saving power in a gateway network comprising a plurality of nodes including a gateway device and one or more endpoint devices. In the context of a method, an example embodiment includes determining a mode of operation that results in optimal power utilization of at least one node, and determining whether a current mode of operation comprises the mode of operation that results in optimal power utilization of the node. In response to determining that the current mode of operation does not, the method further includes generating a mode switch message based on the mode of operation that results in optimal power utilization of the node, and causing transmission of the mode switch message to a first subset of the one or more endpoint devices. A corresponding apparatus and computer program product are also provided.

Abstract: According to an example aspect of the present invention, there is provided an apparatus comprising a memory configured to store a first token and a second token, and at least one processing core configured to obtain a first value based at least in part on the first token and the second token, and to cause the apparatus to participate in a security procedure, based at least in part on the first hash, with a second apparatus.

Abstract: According to an example aspect of the present invention, there is provided an apparatus comprising at least one processing core, at least one memory including computer program code, the at least one memory and the computer program code being configured to, with the at least one processing core, cause the apparatus at least to receive from a first device a digital key, receive from a second device an encrypted data item, decrypt the encrypted data item using the digital key to obtain a decrypted data item, and verify the decrypted data item matches a reference data item, and responsive to the decrypted data item matching the reference data item, grant access to at least one of the first device and the second device.

Abstract: The invention relates to forming a prediction using an experience matrix, a matrix based on sparse vectors such as random index vectors. At least a part of a first experience matrix and at least a part of at least a second experience matrix are caused to be combined (1410) to obtain a combined experience matrix. The experience matrices comprise sparse vectors or essentially similar vectors in nature, and said experience matrices comprise information of at least one system, for example contexts of a system. At least a part of at least one sparse vector of the combined experience matrix is accessed to form a prediction output (1420), and a system is controlled (1430) in response to said prediction output.

Abstract: Co-occurrence data representing e.g. preferences and facts observed in a plurality of situations may be stored in a matrix as combinations of high-dimensional sparse vectors. The matrix may be called e.g. as an experience matrix. The data stored in the experience matrix may be subsequently utilized e.g. for predicting a preference of a user in a new situation. A prediction may be determined by a method comprising providing a query comprising one or more query words, accessing the experience matrix containing co-occurrence data stored as vectors of the experience matrix, determining a first auxiliary vector by identifying a vector of the experience matrix associated with a first query word, forming a query vector by using the first auxiliary vector, and determining the prediction by comparing the query vector with the vectors of the experience matrix.

Abstract: The invention relates to predictive browsing. A set of words for use with an experience matrix are formed, wherein the words are descriptive of a context of a system such as a current web page, and wherein said experience matrix comprises sparse vectors associated with words. At least a part of at least one sparse vector of said experience matrix is accessed to form a prediction output, and suggestions of web pages are provided to a user in response to said prediction output.

Abstract: The invention relates to forming a prediction using an experience matrix, a matrix based on sparse vectors such as random index vectors. At least a part of a first experience matrix and at least a part of at least a second experience matrix are caused to be combined (1410) to obtain a combined experience matrix. The experience matrices comprise sparse vectors or essentially similar vectors in nature, and said experience matrices comprise information of at least one system, for example contexts of a system. At least a part of at least one sparse vector of the combined experience matrix is accessed to form a prediction output (1420), and a system is controlled (1430) in response to said prediction output.

Abstract: Co-occurrence data representing e.g. preferences and facts observed in a plurality of situations may be stored in a matrix as combinations of high-dimensional sparse vectors. The matrix may be called e.g. as an experience matrix. The data stored in the experience matrix may be subsequently utilized e.g. for predicting a preference of a user in a new situation. A prediction may be determined by a method comprising providing a query comprising one or more query words, accessing the experience matrix containing co-occurrence data stored as vectors of the experience matrix, determining a first auxiliary vector by identifying a vector of the experience matrix associated with a first query word, forming a query vector by using the first auxiliary vector, and determining the prediction by comparing the query vector with the vectors of the experience matrix.

Abstract: Co-occurrence data representing e.g. preferences and facts observed in a plurality of situations may be stored in a matrix as combinations of high-dimensional sparse vectors. The matrix may be called e.g. as an experience matrix. The data stored in the experience matrix may be subsequently utilized e.g. for predicting a preference of a user in a new situation.

Abstract: A method for providing enhancement of context intelligence may include receiving a first word representing a context at a processor, providing for a search of a database using the first word; receiving a second word in response to the search of the database, applying a weight to the second word, and causing the second word and the respective weight to be stored as relevant to the context. The database may include a remote database, accessed, for example, via the internet. The method may also include generating a third word in response to a sensor receiving an input, where providing for a search of a database includes using the first word and the third word. The method may optionally include generating a third word in response to a detected property of an environment, where providing for a search of a database includes using the first word and the third word.