**Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings. The system uses an activity detection module to detect starting conditions for data extraction, then processes the audio data using speech recognition and pattern detection modules to identify key technical features. To ensure clarity and concision, the claims will focus on the key aspects of the invention, including the use of an activity detection module, speech recognition, and pattern detection modules to identify key technical features, such as conversations and meetings.
**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify key technical features.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the audio data and computer operating context.
3. The system of claim 1, further comprising a user interface to display the extracted information and allow users to edit and annotate the information.
4. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and displaying the extracted information using a user interface.
5. The method of claim 4, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction based on the audio data and computer operating context.
6. A computer-readable medium storing instructions for automatically capturing information from audio data and computer operating context, wherein the instructions cause a computer system to: detect starting conditions for data extraction using an activity detection module; process the audio data using speech recognition and pattern detection modules; and display the extracted information using a user interface.
7. The computer-readable medium of claim 6, wherein the instructions further cause the computer system to use machine learning algorithms to detect starting conditions for data extraction based on the audio data and computer operating context.
8. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; a pattern detection module to identify key technical features; and a user interface to display the extracted information.
9. The system of claim 8, wherein the activity detection module uses deep learning algorithms to detect starting conditions for data extraction based on the audio data and computer operating context.
10. The system of claim 8, further comprising a data storage module to store the extracted information and allow users to access and edit the information.
