An evolving system of computers linked into a neural network continuously scans and gathers information from, understands, and interacts with, an environment, a client computer program interactively executes software instructions using a subject matter data warehouse to transform input into a search pattern. The evolving system server supercomputer program executes multivariant big data indexing to cherry pick the optimal input and output using page, site and supersite probabilities. The client computer program analyzes the optimal output given a search pattern in order to interact and engage scripted communication with the end user.

Embodiments as disclosed may provide a search operator that addresses the problems inherent in the searching based on an entire block of text. Specifically, embodiments as disclosed may provide a search operator that may address the problem of complex query construction and efficient and effective implementation for finding objects based on a block of text.

Embodiments as disclosed may provide a search operator that addresses the problems inherent in the searching based on an entire block of text. Specifically, embodiments as disclosed may provide a search operator that may address the problem of complex query construction and efficient and effective implementation for finding objects based on a block of text.

A Codex system of computers linked into a neural network continuously scans and gathers information from, understands, and interacts with, an environment, an optimizer software executing software instructions based on rules of grammar and semantics searches a encyclopedia of human knowledge to transform input into a search pattern. Then the Codex monetizes and commercializes each transformed input and corresponding optimal output. An artificial intelligence interaction software, hereinafter referred to as virtual maestro, uses the search pattern and optimal output in order to interact and engage scripted communication with the end user.

An evolving system of computers linked into a neural network continuously scans and gathers information from, understands, and interacts with, an environment; and a client computer program interactively executes software instructions using a subject matter data warehouse to transform input into a search pattern. The evolving system server supercomputer program executes multivariant big data indexing to cherry pick the optimal input and output using page, site and supersite probabilities. The client computer program analyzes the optimal output given a search pattern in order to interact and engage scripted communication with the end user.

Aspects of the invention are configured to perform an operation comprising receiving a query specifying an AND condition and an OR condition, determining, based on an AND index structure, a set of documents, of a plurality of documents in a corpus, satisfying the AND condition of the query, computing a query similarity score for a first document in the set of documents, wherein the query similarity score is based on a first hash value computed for the OR condition of the query, a weight value for the OR condition, and a second hash value for the first document specified in an OR index, and returning an indication of the first document and the query similarity score as responsive to the query.

A Codex system including a plurality of computers linked into a neural network. The Codex continuously scans and gathers information from, understands, and interacts with, an environment, the environment being an Internet comprising a multitude of websites. Processors of the computers operates in accordance with optimizer software, which executes a software instruction set, based on rules of grammar and semantics, to search a encyclopedia of human knowledge and utilizes the encyclopedia to transform input into a search pattern. Then, the Codex monetizes and commercializes each transformed input and corresponding optimal output. An artificial intelligence interaction software (referred to as Virtual Maestro) utilizes the search pattern and optimal output to interact and engage a scripted communication with an end user.

Embodiments as disclosed may provide a search operator that addresses the problems inherent in the searching based on an entire block of text. Specifically, embodiments as disclosed may provide a search operator that may address the problem of complex query construction and efficient and effective implementation for finding objects based on a block of text.

A computer-implemented system and method for identifying potential clinical trial participants from one or more databases of patient electronic health information includes analyzing the clinical trial requirements and mapping those requirements to an interface terminology, where concepts of the interface terminology include a key concept and a group of one or more additional concepts that are related in the context of the clinical trial. The method further includes mapping the patient electronic health information to the interface terminology, building a query of one or more interface terminology elements; analyzing the patient health information for matches to the one or more interface terminology elements and, if necessary, iterating the process by adding additional interface terminology elements to the query.

Embodiments as disclosed may provide a search operator that addresses the problems inherent in the searching based on an entire block of text. Specifically, embodiments as disclosed may provide a search operator that may address the problem of complex query construction and efficient and effective implementation for finding objects based on a block of text.