Abstract: A computing services environment may include a relational database system storing database records corresponding to text-based interactions between individuals and human agents, a unified metadata framework including a plurality of autonomous agent definitions, an agent creation engine, an agent service, and an orchestration layer. The agent creation engine may create and store an autonomous agent definition in accordance with the unified metadata framework by iteratively selecting a database record from the plurality of database records and determining autonomous agent definition update information based on text included in the database record. The autonomous agent definition may reference a plurality of action definitions defining a plurality of actions capable of being performed within the computing services environment. The agent service may instantiate an autonomous agent instance based on the autonomous agent definition.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for recreating a conversation history to be processed by an artificial intelligent (AI) agent. A prompt is divided into a plurality of segments. For at least one segment, one or more corresponding compressed segments are generated and stored. A user query is received. For at least a first segment of the plurality of segments, a level of relevance to the query is estimated. A compressed segment is selected from a set of segments including the compressed segments, based, at least in part, on the level of relevance to the query. A conversation history is recreated using segments including the selected compressed segment. The query and recreated conversation history are provided to the AI agent.

Abstract: Initiating preventative action by a HIPAA-compliant computer security method and system for recording, using a video camera, electronic visual personal health information of at least two individuals, including an individual under care, and preventing unauthorized access of the user to the video information. The video is compared to physical attribute information of the individuals stored in the computer system's memory, and the individuals are identified by facial matching. The user's stored caseload has authorization profile information including access to individuals under care. The identified individuals are compared to the user's caseload information, and the user is granted access to part of the video of the individual under care, the video of the other individuals is blurred, and the resulting video is transmitted to the user's caseload for viewing. The video information is interpreted, a negative outcome is indicated, and a signal for initiating preventative action is transmitted.

Abstract: A method and system for generating a privilege based segmented instruction prompt has been developed. Trusted instructions defining the trusted instructions as having a first privilege level, program instructions as having a second privilege level, and data instructions as having a third privilege level are received. The program instructions to implement tasks associated with the data instructions are received. The data instructions are received. The generated privilege based segmented instruction prompt includes the trusted instructions, the program instructions, and the data instructions. The privilege based segmented instruction prompt enables a generative LLM to determine whether the privilege based segmented instruction prompt is an instruction injection attack based on whether there is a conflict between the trusted instructions, the program instructions, and the data instructions in violation of the first, second, and third privilege levels.

Abstract: The present invention conveys a fractionation method to isolate different bioactive Phytocannabinoids by solid phase extraction using HP-20 resins and one step method to synthesize C— and O-?-D-glycoside derivatives of Cannabinoid by using a ?-D-glucose donor (O-Glycosyl trichloroacetimidate donor) to obtain glycosidic derivatives. The novel C-glycosides of Cannabinoids displayed significant anti-proliferative properties against wide range of human cancer cell lines as compared to their respective parent molecules. Furthermore, the C— and O glycosides of Cannabinoids also showed anti-invasive and anti-migratory activities against metastatic cancer cells of breast and pancreatic origin. When applied in combination with DNA damaging agent (5-Fluorouracil) to colorectal cancer cells, the C— and O-glycosides of Cannabinoids potentiate DNA damaging property and thus augment apoptosis resulting in an increment in the efficacy of DNA damaging drugs.

Abstract: A system and method of generating information regarding one or more goals of an individual under care, comprising recording information pertaining to one or more individuals, and pertaining to an initial inquiry relating to one or more goals of the individual, transmitting recorded information to a computer system with memory and processor, storing the recorded information and historical information pertaining to an initial inquiry relating to an individual's care, and comparing transmitted information to the historical information.

Abstract: A method includes performing, using at least one processor, feature extraction of input audio data to identify extracted features associated with the input audio data. The method also includes detecting, using the at least one processor, a language associated with the input audio data by processing the extracted features using a plurality of language models, where each language model is associated with a different language. The method further includes directing, using the at least one processor, the input audio data to one of a plurality of automatic speech recognition (ASR) models based on the language associated with the input audio data.

Abstract: HIPAA-compliant computer security method and system for recording, using a video camera, electronic visual personal health information of at least two individuals, including an individual under care, and preventing unauthorized access of the user to the video information. The video is compared to physical attribute information of the individuals stored in the computer system's memory, and the individuals are identified by facial matching. The user's stored caseload has authorization profile information including access to individuals under care. The identified individuals are compared to the user's caseload information, and the user is granted access to part of the video of the individual under care, the video of the other individuals is blurred, and the resulting video is transmitted to the user's caseload for viewing. Data fields of an information request are populated using formatted data from the video information.

Abstract: HIPAA-compliant computer security method and system for recording, using a video camera, electronic visual personal health information of at least two individuals, including an individual under care, and preventing unauthorized access of the user to the video information. The video is compared to physical attribute information of the individuals stored in the computer system's memory, and the individuals are identified by facial matching. The user's stored caseload has authorization profile information including access to individuals under care. The identified individuals are compared to the user's caseload information, and the user is granted access to part of the video of the individual under care, the video of the other individuals is blurred, and the resulting video is transmitted to the user's caseload for viewing. The video information is used to prepare automated Electronic Visit Verification (“EVV”) records.

Abstract: HIPAA-compliant computer security method and system for recording, using a video camera, electronic visual personal health information of at least two individuals, including an individual under care, and preventing unauthorized access of the user to the video information. The video is compared to physical attribute information of the individuals stored in the computer system's memory, and the individuals are identified by facial matching. The user's stored caseload has authorization profile information including access to individuals under care. The identified individuals are compared to the user's caseload information, and the user is granted access to part of the video of the individual under care, the video of the other individuals is blurred, and the resulting video is transmitted to the user's caseload for viewing. Based on the video information, an action to satisfy an indicated need is determined and a signal for initiating that action is transmitted.

Abstract: HIPAA-compliant computer security method and system for recording, using a video camera, electronic visual personal health information of at least two individuals, including an individual under care, and preventing unauthorized access of the user to the video information. The video is compared to physical attribute information of the individuals stored in the computer system's memory, and the individuals are identified by facial matching. The user's stored caseload has authorization profile information including access to individuals under care. The identified individuals are compared to the user's caseload information, and the user is granted access to part of the video of the individual under care, the video of the other individuals is blurred, and the resulting video is transmitted to the user's caseload for viewing. Data fields of an information request are populated using formatted data from the video information.

Abstract: HIPAA-compliant computer security method and system for recording, using a video camera, electronic visual personal health information of at least two individuals, including an individual under care, and preventing unauthorized access of the user to the video information. The video is compared to physical attribute information of the individuals stored in the computer system's memory, and the individuals are identified by facial matching. The user's stored caseload has authorization profile information including access to individuals under care. The identified individuals are compared to the user's caseload information, and the user is granted access to part of the video of the individual under care, the video of the other individuals is blurred, and the resulting video is transmitted to the user's caseload for viewing. The video information is used to prepare automated Electronic Visit Verification (“EVV”) records.

Abstract: A system and method of generating information regarding one or more goals of an individual under care, comprising recording information pertaining to one or more individuals, and pertaining to an initial inquiry relating to one or more goals of the individual, transmitting recorded information to a computer system with memory and processor, storing the recorded information and historical information pertaining to an initial inquiry relating to an individual's care, and comparing transmitted information to the historical information.

Abstract: HIPAA-compliant computer security method and system for recording, using a video camera, electronic visual personal health information of at least two individuals, including an individual under care, and preventing unauthorized access of the user to the video information. The video is compared to physical attribute information of the individuals stored in the computer system's memory, and the individuals are identified by facial matching. The user's stored caseload has authorization profile information including access to individuals under care. The identified individuals are compared to the user's caseload information, and the user is granted access to part of the video of the individual under care, the video of the other individuals is blurred, and the resulting video is transmitted to the user's caseload for viewing. The video information is compared to stored historical information to determine an indicated negative outcome, and transmit a signal for initiating preventative action.

Abstract: A method includes performing, using at least one processor, feature extraction of input audio data to identify extracted features associated with the input audio data. The method also includes detecting, using the at least one processor, a language associated with the input audio data by processing the extracted features using a plurality of language models, where each language model is associated with a different language. The method further includes directing, using the at least one processor, the input audio data to one of a plurality of automatic speech recognition (ASR) models based on the language associated with the input audio data.

Abstract: A method includes performing, using at least one processor, feature extraction of input audio data to identify extracted features associated with the input audio data. The method also includes detecting, using the at least one processor, a language associated with each of multiple portions of the input audio data by processing the extracted features using a plurality of language models, where each language model is associated with a different language. In addition, the method includes directing, using the at least one processor, each portion of the input audio data to one of a plurality of automatic speech recognition (ASR) models based on the language associated with the portion of the input audio data.

Abstract: A method includes performing, using at least one processor, feature extraction of input audio data to identify extracted features associated with the input audio data. The method also includes detecting, using the at least one processor, a language associated with each of multiple portions of the input audio data by processing the extracted features using a plurality of language models, where each language model is associated with a different language. In addition, the method includes directing, using the at least one processor, each portion of the input audio data to one of a plurality of automatic speech recognition (ASR) models based on the language associated with the portion of the input audio data.

Abstract: A system and method of generating information regarding one or more goals of an individual under care, comprising recording information pertaining to one or more individuals, and pertaining to an initial inquiry relating to one or more goals of the individual, transmitting recorded information to a computer system with memory and processor, storing the recorded information and historical information pertaining to an initial inquiry relating to an individual's care, and comparing transmitted information to the historical information.

Abstract: A method and a system for targeted advertising via mobile terminals are provided. Advertisements and advertising parameters are received from an advertising network. A mobile terminal is selected based on the advertising parameters, user profile information and details of mobile terminals. The advertisement is then sent to the mobile terminal at an appropriate time. The advertisement can be an image, an audio, a video, an audio-video, text, a link to a WAP site, and the like. Further, the advertisement may be sent to the mobile terminal depending on the content of a message being sent.