Abstract: An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

Abstract: An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

Abstract: An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

Abstract: An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

Abstract: An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

Abstract: An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

Abstract: The present invention concerns methods and apparatus for perturbing a known contextualization of an underlying proposition adopted by a group of subjects that are considered in a quantum representation. Initially, the subjects belonging to the group exhibit the known contextualization modulo the proposition and also have known measurable indications in the known contextualization. Perturbation is due to injection into the group of a disruptive subject that exhibits a Fermi-Dirac (F-D) anti-consensus statistic modulo the underlying proposition. A monitoring unit and a statistics module are deployed to collect and study subsequent measurable indications from subjects in the group after injection of the disruptive subject and upon re-confronting of the underlying proposition. The perturbation is thus detected and changes in the quantum representation due to it are estimated.

Abstract: A system has a test apparatus comprising a test medium having a machine-readable identifier, the medium enabled to accept an analyte for a specific test, a smart telephone or a pad device having imaging apparatus, a digital memory, input apparatus providing recording of contextual information associated with a specific test, and first coded instructions providing integration of images and contextual information associated with a specific test into a specific data structure, a network-connected server having a processor and coupled to at least one server-side data repository, and second coded instructions executing on the processor of the server from a non-transitory medium. A user applies the analyte, allows the test to proceed to conclusion, and initiates at least one image capture by the imaging apparatus.

Abstract: A method and system for collecting information, enriching the collected information, and linking the enriched information is provided. The system includes an application server that is accessible by users via their computer device for performing a variety of functions encompassed in a lifestream data function. Lifestreams (or lifestream data) contains notes, recordings and annotation data elements. The goal of the lifestream data functions is to ultimately enrich the individual data elements in each lifestream which then form a network of enriched lifestreams or aspects of enriched lifestreams to provide a user with: (a) a better organization of his/her data, notes, thoughts and intentions, (b) a better search or filter tool to search for data, notes, thoughts and intentions, and/or (c) a better ranking mechanism for ranking or determining relevance of data, notes, thoughts and intentions.

Abstract: A system has a test medium associated with a non-transitory identifier, an imaging apparatus having an Internet connection, and an internet-connected server executing coded instructions on a processor. A user applies an analyte to the test medium, allows a test to proceed to conclusion, implements an image capture of the test medium by the imaging device, and transmits the image to the internet-connected server, where the server stores the image associated with the non-transitory identifier in a data repository.

Abstract: The present invention concerns methods and systems for learning about the redox status of a biological process experienced by a biological entity under local conditions by postulating hidden states that are locally inaccessible but are related to the redox status. The learning system uses a reference bioprocess model from which a master learner establishes an observable basis of redox indicators that are real-valued, measureable, and exclude hidden states. Meanwhile, a local learner receives at least a portion of model redox data from the reference bioprocess model, and measured redox data from the biological entity. The learning system runs a distributed learning algorithm using the observable basis established by the master learner to determine an optimal composition of redox data to be included in measured redox data collected under local conditions.

Abstract: The present invention concerns methods and systems for learning or discovering redox-related context adjustments to be applied to model conditions, e.g., in a laboratory, in which a reference biological entity is undergoing the bioprocess. A reference bioprocess model that may be used under field or local conditions is constructed based on the reference biological entity's experience of the bioprocess. The bioprocess is postulated to have hidden states associated with redox reactions. Among other, the reference biological entity may be a model cell line set up to undergo the bioprocess in vitro. A mechanism is provided for perturbing the model conditions to transition from a baseline redox-related context to a perturbed redox-related context. Redox-related context change is learned using operator matrices that transform model feature vectors containing redox indicators from baseline to perturbed redox-related context.

Abstract: The present invention concerns methods and systems for learning or discovering redox-related context adjustments to a biological process or bioprocess experienced by one or more biological entities under local conditions. The bioprocess is postulated to have hidden states associated with redox reactions. Among other, the biological entities can be embodied by plants, animals, cells, cell cultures, cell lines and human subjects. The learning system uses a reference bioprocess model for the bioprocess and has a master learner configured to establish an observable basis of redox indicators for the bioprocess. The learning system also has a local learner in communication with the master learner. The local learner deploys a learning algorithm to learn an operator matrix that represents the redox-related context adjustment.

Abstract: Observation-based user profiling and profile matching are provided. The network behavior of users of a computer-implemented social network are observed and used for user profiling. By observing network behavior instead of necessarily relying on user self-reported data, accurate and objective user profiles can be formed; user profiling is accomplished based on the observed network behaviors with or without the knowledge of the user being profiled. The observed network behaviors can include the customization of a visual graphic, a media preference, a communication preference, or a selection of words from a word list. The user profiles can be with respect to a domain and two or more users can be matched based on their profiles with respect to the same domain. User ratings and profile updating based on the ratings are also provided.

Abstract: An apparatus comprising a power source, one or more sensors, a transceiver, and a memory. The power source may be configured to store energy to power the apparatus. The one or more sensors may be configured to receive captured data from one of a plurality of sources. The transceiver may be configured to send and receive data to and from a wireless network. The processor may be configured to execute computer readable instructions. The memory may be configured to store a set of instructions executable by the processor. The instructions may be configured to (A) evaluate an expected power usage budget calculated using a predictive model of future energy consumption and (B) (i) store the captured data in the memory in a first mode and (ii) transmit the captured data to a remote storage device in a second mode. The first mode or the second mode is selected based on characteristics of the captured data received from the sensors.

Abstract: A system has a test apparatus comprising a test medium having a machine-readable identifier, the medium enabled to accept an analyte for a specific test, a smart telephone or a pad device having imaging apparatus, a digital memory, input apparatus providing recording of contextual information associated with a specific test, and first coded instructions providing integration of images and contextual information associated with a specific test into a specific data structure, a network-connected server having a processor and coupled to at least one server-side data repository, and second coded instructions executing on the processor of the server from a non-transitory medium. A user applies the analyte, allows the test to proceed to conclusion, and initiates at least one image capture by the imaging apparatus.

Abstract: The present invention is directed to methods and apparatus for predicting the quantum state, including the dynamics of such quantum state in so far as it represents a subject embedded in a community of community subjects. In the quantum representation adopted herein the internal states of all subjects are assigned to quantum subject states defined with respect to an underlying proposition about an item that can be instantiated by an object, a subject or by an experience. Contextualization of the proposition about the item is identified with a basis (eigenbasis of a spectral decomposition) referred to herein as the social value context. The dynamics are obtained from quantum interactions on a graph onto which the quantum states of all the subjects are mapped by a surjective mapping dictated by subject interconnections and subject-related data, including the social graph and information derived from “big data”.

Abstract: A system includes an apparatus having a test medium with a machine-readable identifier, the medium enabled to accept an analyte for a test, a network-connected communication device having imaging capability, enabled to record contextual information, and executing coded instructions, a server having coupled to at least one data repository, and coded instructions executing on a processor. A user applies the analyte to the test medium, allows time to complete, and initiates an image capture, wherein a data structure, including at least a resulting image, images or video stream, including one or more images of the test result, one or more images of the machine-readable identifier, contextual information captured at the time of the test and identify of the test subject providing the analyte, is transmitted on the network to the network-connected server, where the data structure is recorded.

Abstract: A semantic note taking system and method for collecting information, enriching the information, and binding the information to services is provided. User-created notes are enriched with labels, context traits, and relevant data to minimize friction in the note-taking process. In other words, the present invention is directed to collecting unscripted data, adding more meaning and use out of the data, and binding the data to services. Mutable and late-binding to services is also provided to allow private thoughts to be published to a myriad of different applications and services in a manner compatible with how thoughts are processed in the brain. User interfaces and semantic skins are also provided to derive meaning out of notes without requiring a great deal of user input.

Abstract: A vehicle comprising a power train, a drive train, a solar array, a sensor interface, a storage device and a processing device. The sensor interface may be configured to receive sensor data samples during operation of the vehicle. The storage device may be configured to store the sensor data samples over a number of points in time. The processing device may be configured to (i) analyze the sensor data samples stored in the storage device to detect a pattern, (ii) monitor an amount of solar power converted using the solar array, (iii) determine an energy usage for traveling a route based on the pattern and (iv) adjust an amount of power applied to the power train in response to the energy usage for traveling the route. The amount of power applied to the power train may be adjusted in response to the amount of solar power.