Abstract: Transportation systems can represent a set of operating states of a vehicle to a user of the vehicle and generally include a system for representing a set of operating states of a vehicle to a user of the vehicle. The system includes a portion of the vehicle having a vehicle operating state; a digital twin system receiving vehicle parameter data from one or more inputs to determine the vehicle operating state; and an interface for the digital twin system to present the vehicle operating state to the user of the vehicle.

Abstract: A system for transportation includes a vehicle having a user interface, and a robotic process automation system wherein a set of data is captured for each user in a set of users as each user interacts with the user interface, and wherein an artificial intelligence system is trained using the set of data to interact with the vehicle to automatically undertake actions with the vehicle on behalf of the user.

Abstract: Methods and an expert system for processing a plurality of inputs collected from sensors in an industrial environment are disclosed. A modular neural network, where the expert system uses one type of neural network for recognizing a pattern relating to at least one of: the sensors, components of the industrial environment and a different neural network for self-organizing a data collection activity in the industrial environment is disclosed. A data communication network configured to communicate at least a portion of the plurality of inputs collected from the sensors to storage device is also disclosed.

Abstract: The spinal cord stimulation device of this invention is configured for implantation into a patient so as to traverse the dura mater that surrounds the spinal cord. Placing the device in this location provides direct contact between the electrode and the cerebrospinal fluid (CSF), in close proximity to the spinal cord. The device has an intradural portion and an extradural portion that compresses and seals the dural membrane between them, securing the device in position and preventing leakage of CSF. The position of the device may be stabilized in relation to the spinal cord by way of a laminoplasty plate, bridging between the device and a vertebra. The device is electronically powered by an implanted pulse generator that produces a spectrum of signals to interrupt or otherwise attenuate transmission of pain mediating neural signals through the spinal cord.

Abstract: A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.

Abstract: A system may include a first neural network trained to determine an operating state of a vehicle from data about the vehicle captured in an operating environment of the vehicle, where the first neural network processes information about the vehicle captured by at least one Internet-of things device while the vehicle is operating. A data structure facilitates determining operating parameters configured to influence an operating state of a vehicle. A second neural network operates to: a) process information about a state of the rider occupying the vehicle, b) determine a correlation between the operating state and an effect on the state of the rider, and c) improve at least one of the determined operating parameters of the vehicle based on i) the determined operating state of the vehicle and ii) the correlation between the operating state of the vehicle and the effect on the state of the rider.

Abstract: A system for transportation includes a self-driving vehicle, an artificial intelligence (AI) system in communication with the vehicle, and a vehicle routing system to plan a planned route for the vehicle to meet a common transportation need. The vehicle is to autonomously follow the planned route. The AI system includes a data processing system to gather social media-sourced data about a plurality of individuals, the data being sourced from a plurality of social media sources, process the data to identify a subset of the individuals who form a social group based on group affiliation references in the data, and detect keywords in the data indicative of the transportation need. A neural network is trained to predict transportation needs based on the detected keywords to identify the common transportation need for the subset of the individuals.

Abstract: A system for operating a vehicle based on a state of a rider includes an artificial intelligence system, a vehicle control system, and a feedback loop. The artificial intelligence system processes a sensory input from a wearable device in a vehicle to determine a state of a rider and optimizes an operating parameter of the vehicle to improve the state of the rider. The artificial intelligence system includes a neural net with a perceptron to mimic human senses to facilitate determining a state of a rider based on an extent to which at least one of the senses of the rider is stimulated. The vehicle control system adjusts vehicle operating parameters and the feedback loop indicates the change in the state of the rider, where the vehicle control system adjusts at least one of the plurality of vehicle operating parameters responsive to the indication of the change.

Abstract: A system may include a first neural network to detect the state of the rider through expert system-based processing of rider state indicative wearable sensor data of a plurality of wearable physiological condition sensors worn by the rider in the vehicle, the state indicative wearable sensor data indicative of at least one of a first state of the rider and a second state of the rider. A system may include a second neural network to optimize, for at least one of achieving and maintaining a first state of the rider, the operating parameter of the vehicle in response to the detected state of the rider, wherein the second neural network optimizes the operational parameter based on a correlation between a vehicle operating state and a rider state, wherein the optimized operational parameter of the vehicle is determined and adjusted to induce the first state in the rider.

Abstract: A transportation system includes: a neural network to determine current inferred hormonal state data of an occupant of the vehicle based in part on received sensor data relating to the occupant; and an artificial intelligence-based system trained on a set of outcomes related to occupant in-vehicle experience. The artificial intelligence-based system is configured to: retrieve sensor data of the occupant; identify a difference between the current inferred hormonal state data and a desired hormonal state; determine a variation including one of configuring the vehicle for aggressive driving performance or configuring the vehicle for non-aggressive driving performance to promote the desired hormonal state of the occupant responsive to the current inferred hormonal state; and induce the variation in one or more occupant experience parameters to achieve at least one desired outcome.

Abstract: A vehicle to operate with a rider according to an operating parameter. The vehicle includes a set of physiological monitoring sensors configured to measure a physiological parameter of a rider within the vehicle. The vehicle further includes a neural network trained on data related to a set of rider in-vehicle experiences to determine a state of the rider by processing outputs of the set of physiological monitoring sensors. The vehicle further includes an augmented or virtual reality system configured to present augmented reality content to the rider within the vehicle based, at least in part, on the physiological parameter. The vehicle further includes an optimization system to automatically identify a variation in the operating parameter to improve a measure of the state of the rider and generate a command to vary the operating parameter and the augmented reality content according to the variation.

Abstract: A method of maintaining a favorable emotional state of a rider of a vehicle. The method includes: receiving emotional state indicative wearable sensor data of the rider in the vehicle; classifying, at a rider emotional state determining neural network, the emotional state indicative wearable sensor data and generating output data indicative of a classification of the rider emotional state as one of a favorable emotional state of the rider or an unfavorable emotional state of the rider; converting the output data from the rider emotional state determining neural network into a vehicle operational state datum; and adjusting a vehicle operating parameter in response to the vehicle operational state datum.

Abstract: A transportation system to optimize an operating parameter of a vehicle based on a physiological state of an occupant of the vehicle. The transportation system includes a sensor to sense a physiological condition of the occupant and to output data based on the sensed physiological condition. The sensor includes an image capturing device to capture a set of images of a face of the occupant, and an image processing system to produce feature vectors from the set of images. The feature vectors are indicative of an emotional state of the occupant. The transportation system further includes an artificial intelligence system to receive and processes the data to determine an emotional state of the occupant and to optimize, for achieving a favorable emotional state of the occupant, at least one operating parameter of the vehicle in response to the detected emotional state of the occupant.

Abstract: A system may include an operator data collection module to capture human operator interactions with a vehicle control system interface and may include a vehicle data collection module to capture vehicle response and operating conditions associated at least contemporaneously with the human operator interaction. An artificial intelligence system learns to control the vehicle with an optimized margin of safety while mimicking the human operator, where the artificial intelligence system is responsive to the robotic process automation system and the artificial intelligence system is to detect data indicative of at least one of a plurality of the instances of environmental information associated with the contemporaneously captured vehicle response and operating conditions. The optimized margin of safety is to be achieved by training the artificial intelligence system to control the vehicle based on the set of human operator interaction data collected at the robotic process automation system.

Abstract: A system may process a sensory input received from a wearable device in the vehicle to determine the state of the rider in the vehicle, may adjust an operating parameter of the vehicle to improve the state of the rider, and may indicate a change in the state of a rider in the vehicle via recognition of patterns of the wearable sensor data of the rider in the vehicle when compared with rider state patterns located in stored wearable sensor data. A feedback loop is included through which the indication of the change in the state of the rider is communicated between the vehicle control system and the artificial intelligence system, wherein the vehicle control system is further configured to adjust vehicle operating parameters in response to the indication of the change.

Abstract: A transportation system optimizes an operating parameter of a vehicle based on a physiological state of an occupant of the vehicle. The transportation system includes a sensor to sense a physiological condition of the occupant and to output data based on the sensed physiological condition. The sensor includes a voice capture system to capture a voice of the occupant and includes the voice as at least part of the output data. The transportation system further includes an artificial intelligence system to receive the output data, classifies an emotional state of the captured voice based on analysis of aspects of the output data and processes the classified emotional state of the captured voice to determine an emotional state of the occupant and to optimize, for achieving a favorable emotional state of the occupant, at least one operating parameter of the vehicle in response to the determined emotional state of the occupant.

Abstract: An enterprise-wise means for determining monitoring requirements for technology resources, such as, software, hardware, firmware, network or the like and implementing the monitoring. Artificial Intelligence (AI) is implemented to determine monitoring requirements based on characteristics of the technology resource that is to be monitored. In this regard, the characteristics of the technology resource serve to define the problem(s), such as cyber threats and/or performance issues that the technology resource currently faces or will face in the future. By determining the monitoring requirements based on the technology resource's characteristics, including the technological environment, the invention serves to describe what needs to be monitored in terms of the problems that the technology resource currently faces or will face.

Abstract: A handheld vacuum cleaner includes a dirt separator. The dirt separator includes a chamber having an inlet through which dirt-laden fluid enters and an outlet through which cleansed fluid exits the chamber. A disc located at the outlet rotates about a rotational axis and comprises holes through which the cleansed fluid passes.

Abstract: A system may receive social data from a plurality of social data sources. A system may process the social data using semantic analysis to detect keywords in the social data indicative of a group transportation need. A system may identify a plurality of individuals who share a group transportation need. A system may predict the group transportation need using a neural network trained to predict transportation needs based on the detected keywords. A system may provide a transportation recommendation based on the prediction.

Abstract: A system for improving a state of a rider in a vehicle includes at least one Internet-of-Things (IoT) device and an artificial intelligence system. The at least one IoT device in disposed in the environment of the vehicle, the at least one IoT device to sense and output data based on at least one of: a state of the rider, a state of the vehicle environment, or a state of the vehicle. The artificial intelligence system for processing the data output by the at least one IoT device to determine a determined state of the vehicle and to improve the at least one operating parameter of the vehicle to improve the state of the rider based on the determined state of the vehicle.