Abstract: There is provided an information processing device capable of searching for a network structure more efficiently, the information processing device including: a structure acquisition unit configured to acquire a graph structure searched for on a basis of information related to a structure of a graph-structured network.

Abstract: [Object] To provide an information processing apparatus, an information processing method, and a program capable of appropriately handling a difference between detection results of sensors. [Solution] An information processing apparatus including: a detection section configured to detect first information regarding a mobile object; an acquisition section configured to acquire second information regarding the mobile object, the second information being detected by an external apparatus; and a control section configured to control processing based on a comparison result of the first information and the second information detected for the same mobile object.

Abstract: Provided is an information distribution apparatus which effectively distributes information such as advertisements. An advertisement distribution system predicts seat conditions such as a change in seat occupancy rate with time and distributes advertising information to prospective customers who can visit around the time when the seats are available. By offering more advantageous discount rates, coupons and the like to prospective customers with a short traveling time to a store in a case where seats are already available, it is possible to quickly occupy the seats and recover the seat occupancy rate in a short period of time. On the other hand, a disadvantageous offer is made to prospective customers who arrive after the time when empty seats are predicted since they do not contribute much to the recovery of the seat occupancy rate.

Abstract: Provided is a drive assistance device for assisting driving of a vehicle by using an automatic driving function. Assuming various conditions of the driver, a plurality of notification timings to notify of switching from an automatic driving mode to a manual driving mode is set. Notifying a driver who is drowsing at a notification timing of long premature time allows the driver to have sufficient time margin to be ready for manual driving and to shift to driving action more safely. A driver who is reading a book or operating a smartphone is expected to be able to shift to driving action immediately after a notification, and thus it is sufficient to notify at a notification timing of short premature time, which can reduce inconvenience for the driver.

Abstract: The present technology relates to a display control device, a display control method, and a program, which are capable of displaying a prediction result for a life event in an easy-to-understand manner. A future life event obtained by predicting the future life event using chronological data related to a life event is displayed on a display unit in a chronology on the basis of a score at which the life event occurs. The present technology can be applied, for example, to display of a prediction result for a life event.

Abstract: [Object] To provide an information processing apparatus, an information processing method, and a program capable of efficiently using information regarding a user evaluation of a target vehicle. [Solution] An information processing apparatus including: a recognition section configured to automatically recognize information of a target vehicle from environment information of a user; an acquisition section configured to acquire a user evaluation of the recognized target vehicle; and a generation section configured to generate information for issuing a notification of the acquired user evaluation.

Abstract: [Object] To provide an information processing apparatus, an information processing method, and a program capable of providing more useful information to a driver. [Solution] An information processing apparatus including: a prediction section configured to predict accident probability of a vehicle driven by a user; and an output control section configured to cause information to be output to the user, the information corresponding to a factor that increases the accident probability predicted by the prediction section.

Abstract: There is provided an information processing device capable of intuitively adding a hardware resource intended to execute the learning, the information processing device including: a display control unit configured to control display of information indicating progress of a learning process and an addition button used to add dynamically a second hardware resource intended to execute the learning process to a first hardware resource on which the learning process is being executed.

Abstract: A data processing device includes: a data obtaining section obtaining time series data on a total value of current consumed by a plurality of electric apparatuses; and a parameter estimating section obtaining a model parameter when states of operation of the plurality of electric apparatuses are modeled by a factorial HMM on a basis of the obtained time series data.

Abstract: The present invention relates to a data processing device, a data processing method, and a program which enable prediction to be performed even when there is a gap in the current location data to be obtained in real time. A learning main processor 23 represents movement history data serving as data for learning, as a probability model which represents a user's activity, and obtains a parameter thereof. A prediction main processor 33 uses the probability model obtained by learning to estimate a user's current location from movement history data to be obtained in real time. In the event that there is a data missing portion included in movement history data to be obtained in real time, the prediction main processor 33 generates the data missing portion thereof by interpolation processing, and estimates state nose series corresponding to the interpolated data for prediction.

Abstract: A terminal device includes an acquisition unit, an accumulation unit, a communication unit and a prediction unit. The acquisition unit acquires local information of a present location at a present time. The accumulation unit accumulates the acquired local information for a period of time. The communication unit transmits, to an information processing device, the accumulated local information. The communication unit also receives, from the information processing device, parameters of a statistical model which are learned using local information acquired from a plurality of other terminal devices. The prediction unit predicts local information in relation to an arbitrary time and location using the received parameters of the statistical model.

Abstract: A data processing device includes: a data obtaining section obtaining time series data on a total value of current consumed by a plurality of electric apparatuses; and a parameter estimating section obtaining a model parameter when states of operation of the plurality of electric apparatuses are modeled by a factorial HMM on a basis of the obtained time series data.

Abstract: The present technique relates to an information processing device, an information processing method and a program which can accumulate sufficient movement history data with a little power consumption. A similarity search unit searches for a past route similar to the immediate movement history which is acquired by a position sensor unit and which has time series position data, from the search data stored in a past history DB. A fitness determination unit determines whether or not goodness of fit of the past route searched by the similarity search unit and the immediate movement history is a predetermined threshold or more. A sensor control unit controls an acquisition interval of the position data of the position sensor unit according to a determination result of the fitness determination unit. The technique of this disclosure is applicable to a prediction device which, for example, acquires position data and predicts a predicted route.

Abstract: The present application relates to a method whereby the communication traffic between a wireless communication apparatus such as a smartphone and another device such as a map information providing server and/or server managed by mobile virtual network operator MVNO. According to a first aspect, the communication traffic can be reduced by dividing items of geographical information that are sent to the smartphone are divided into static information and dynamic information and the two types of information are separately processed in that the map data is updated less often than information such as traffic congestion, weather information or the congestion level of a base station. According to a second aspect, congestion information is derived by averaging over time the number of vehicles which pass through a certain point. According to a third aspect, the updating interval, i.e.

Abstract: A data processing device includes: a data obtaining section obtaining time series data on a total value of current consumed by a plurality of electric apparatuses; and a parameter estimating section obtaining a model parameter when states of operation of the plurality of electric apparatuses are modeled by a factorial HMM on a basis of the obtained time series data.

Abstract: A data processing device includes: a data obtaining section obtaining time series data on a total value of current consumed by a plurality of electric apparatuses; and a parameter estimating section obtaining a model parameter when states of operation of the plurality of electric apparatuses are modeled by a factorial HMM on a basis of the obtained time series data.

Abstract: The present technique relates to an information processing device, an information processing method and a program which can accumulate sufficient movement history data with a little power consumption. A similarity search unit searches for a past route similar to the immediate movement history which is acquired by a position sensor unit and which has time series position data, from the search data stored in a past history DB. A fitness determination unit determines whether or not goodness of fit of the past route searched by the similarity search unit and the immediate movement history is a predetermined threshold or more. A sensor control unit controls an acquisition interval of the position data of the position sensor unit according to a determination result of the fitness determination unit. The technique of this disclosure is applicable to a prediction device which, for example, acquires position data and predicts a predicted route.

Abstract: A learning apparatus includes: a location acquiring section for acquiring time series data on locations of a user; a time acquiring section for acquiring time series data on times; and learning section for learning an activity model indicating an activity state of the user as a probabilistic state transition model, using the respective acquired time series data on the locations and the times as an input.

Abstract: A data processing device includes: a data obtaining section obtaining time series data on a total value of current consumed by a plurality of electric apparatuses; and a parameter estimating section obtaining a model parameter when states of operation of the plurality of electric apparatuses are modeled by a factorial HMM on a basis of the obtained time series data.

Abstract: A terminal device includes an acquisition unit which acquires local information of a present location at a present time; an accumulation unit which accumulates the acquired local information for a predetermined period; a communication unit which transmits the local information which is accumulated for a predetermined period to an information processing device, and receives parameters of a statistical model which are learned using the local information, which is acquired using the information processing device from a plurality of portable terminal devices, from the information processing device; and a prediction unit which predicts the local information in relation to an arbitrary time and location using the received parameters of the statistical model.