Abstract: Systems, methods, and computer-readable storage media for Artificial Intelligence (AI) data summarization A system can receive having multiple fields and a request from a user for a summarization of the record. The system can also receive an authorization level of the user and redact a portion of the record based on the authorization level, resulting in a modified copy of the record. The system can then generate, via an Artificial Intelligence (AI) algorithm, a summary of the modified copy of the record.

Abstract: Systems, methods, and computer-readable storage media for indexing a catalog of training content, and more specifically to indexing the catalog of training content using Artificial Intelligence (AI) to improve responses to queries. A system can execute a search of training course content stored in a database, identifying at least one of new training course content or updated training course content. Based on the media type of the each piece of content, the system can execute one or more data extraction algorithms, resulting in extracted data for each piece of new or updated content. The system can then add the extracted data to a semantic search index.

Abstract: Systems, methods, and computer-readable storage media for using distinct Artificial Intelligence algorithms to review incident reports and identify, within a corpus of training courses, which courses would be best for mitigating or preventing future incidents. A system can receive an incident record involving an individual human being involved in an incident, then analyze that incident record by executing a first Artificial Intelligence (AI) algorithm, resulting in a natural language incident summary. The system can then generate, by executing a second AI algorithm using the natural language incident summary, corrective training recommendations for the individual human being, the corrective training recommendations predicted to perform at least one of mitigating or preventing the incident from occurring again, and provide those corrective training recommendations to an authority over the individual human being.

Abstract: Systems, methods, and computer-readable storage media for a natural language chat interface which uses Artificial Intelligence (AI) to guide users to desired features. A system can receive, at a chat interface, natural language input from a user. Using an AI algorithm on the natural language input, the system can identify a request from the user for a desired action. The system can then identify required data for the desired action and retrieve the required data. The system can then generate an Application Programming Interface (API) call to another computer program based on the desired action, the API call using the retrieved data.

Abstract: Systems, methods, and computer-readable storage media for automating training content augmentation, and more specifically to using Artificial Intelligence (AI) to analyze media content and generate questions derived from the content. Systems can receive and process media, then generate questions based on the processed media. The systems can then combine the processed media and the newly generated question, resulting in a course about the media.

Abstract: A backside-illuminated image sensor is disclosed having improved quantum efficiency (QE) in the near infrared wavelengths (NIR: 750-1100 nm) with minimal optical interference fringes produced by multiple reflected rays within the photosensitive Si region of the sensor, which may be a charge-coupled device, a complementary metal oxide sensor or an electron-multiplication sensor. The invention comprises a fringe suppression layer applied to the backside surface of the photosensitive Si region of a detector (Si substrate) whereby the fringe suppression layer functions in concert with the Si substrate to reduce the occurrence of interference fringes in the NIR while maintaining a high QE over a broad range of wavelengths (300-1100 nm). The combination of a fringe suppression layer applied to a Si substrate provides a new class of back illuminated solid state detectors for imaging.

Abstract: A backside-illuminated image sensor is disclosed having improved quantum efficiency (QE) in the near infrared wavelengths (NIR: 750-1100 nm) with minimal optical interference fringes produced by multiple reflected rays within the photosensitive Si region of the sensor, which may be a charge-coupled device, a complementary metal oxide sensor or an electron-multiplication sensor. The invention comprises a fringe suppression layer applied to the backside surface of the photosensitive Si region of a detector (Si substrate) whereby the fringe suppression layer functions in concert with the Si substrate to reduce the occurrence of interference fringes in the NIR while maintaining a high QE over a broad range of wavelengths (300-1100 nm). The combination of a fringe suppression layer applied to a Si substrate provides a new class of back illuminated solid state detectors for imaging.