Abstract: A system and a method to create a conversational artificial intelligence is disclosed. The presented system is uniquely designed to drive more human-like but yet robust conversations via text or voice. In at least one embodiment, the disclosed system is implemented on at least one computing device that can respond to at least one communicating entity which is hereinafter referred to as the user. The system can be configured to drive a conversation in any knowledge domain. The system disclosed herein, uses natural language processing techniques, natural language synthesis techniques and a novel strategy to respond to user inputs. The novel strategy may include a fundamental model of human conversation, an algorithm to correlate user inputs to the aforesaid model, an algorithm to handle questions from the user, an algorithm to avoid undesired inputs from the user and finally an algorithm to predict the next response generated by the system.

Abstract: Improved methods and systems for generating natural language responses to knowledge queries are provided. In one aspect, a method is provided that includes a conversational query with questions phrased in natural language. Corresponding knowledge data may be identified that relates to the conversational query, and an inference query may be generated based on the conversational query and the knowledge data. Reduced inference query may be generated that removes at least a portion of the knowledge data from the conversational query. A natural language response may be generated based on the reduced inference query, and may be presented to a user. In certain instances, a first model may be used to generate the inference query, a second model to be used to generate the reduced inference query, and a third model may be used to generate the natural language response.

Abstract: The present disclosure generally relates to a system and method for non-invasively monitoring health of a vascular system of a patient. The system comprises a monitoring device for measuring vascular activity of the patient; and a server configured for performing steps of the method. The method steps comprise: receiving a set of signals comprising a vascular signal derived from vascular activity measurements of the patient by the monitoring device; reconstructing an identity pulse from the vascular signal; determining identity pulse features from the identity pulse; comparing data from a set of features with a patient database, the set of features comprising the identity pulse features; and generating a patient risk assessment of vascular health conditions based on results from the comparison with the patient database, wherein the patient database comprises data associated with the set of features for a population of patients.

Abstract: The present disclosure generally relates to a system and method for non-invasively monitoring health of a vascular system of a patient. The system comprises a monitoring device for measuring vascular activity of the patient; and a server configured for performing steps of the method. The method steps comprise: receiving a set of signals comprising a vascular signal derived from vascular activity measurements of the patient by the monitoring device; reconstructing an identity pulse from the vascular signal; determining identity pulse features from the identity pulse; comparing data from a set of features with a patient database, the set of features comprising the identity pulse features; and generating a patient risk assessment of vascular health conditions based on results from the comparison with the patient database, wherein the patient database comprises data associated with the set of features for a population of patients.