All tyre news — страница 121
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**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, and then processes the audio data using speech recognition and pattern detection modules to identify salient patterns. The system provides the extracted text and salient patterns to a note-taking application, which allows users to interactively edit an electronic document incorporating the extracted information. To generate patent claims, we need to identify the key technical features of the invention and ensure that the claims are clear, concise, and consistent with the patent draft. **Claims**: 1. A computer-implemented 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 to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application for interactive editing of an electronic document. 2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to identify relevant information. 3. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module, a speech recognition module, a pattern detection module, and a note-taking application. 4. The system of claim 3, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data. 5. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, the instructions comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application. 6. The medium of claim 5, wherein the instructions use machine learning algorithms to identify relevant information from the audio data and computer operating context. 7. A method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application. 8. The method of claim 7, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context. 9. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application. 10. The system of claim 9, wherein the pattern detection module uses machine learning algorithms to identify relevant information from the audio data and computer operating context. 11. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application. 12. The method of claim 11, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context. 13. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, the instructions comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application. 14. The medium of claim 13, wherein the instructions use machine learning algorithms to identify relevant information from the audio data and computer operating context. 15. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system uses natural language processing techniques to identify salient patterns in the audio data and computer operating context. 16. The system of claim 15, wherein the pattern detection module uses machine learning algorithms to identify relevant information from the audio data and computer operating context. 17. A method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application. 18. The method of claim 17, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context. 19. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system uses machine learning algorithms to identify relevant information from the audio data and computer operating context. 20. The system of claim 19, wherein the pattern detection module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context. 21. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application. 22. The method of claim 21, wherein the speech recognition module uses machine learning algorithms to identify relevant information from the audio data and computer operating context. 23. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, the instructions comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application. 24. The medium of claim 23, wherein the instructions use natural language processing techniques to identify salient patterns in the audio data and computer operating context. 25. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system uses machine learning algorithms to identify relevant information from the audio data and computer operating context. 26. The system of claim 25, wherein the pattern detection module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context. 27. A method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application. 28. The method of claim 27, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context. 29. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system uses machine learning algorithms to identify relevant information from the audio data and computer operating context. 30. The system of claim 29, wherein the pattern detection module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context. 31. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application. 32. The method of claim 31, wherein the speech recognition module uses machine learning algorithms to identify relevant information from the audio data and computer operating context. 33. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, the instructions comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application. 34. The medium of claim 33, wherein the instructions use natural language processing techniques to identify salient patterns in the audio data and computer operating context. 35. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system uses machine learning algorithms to identify relevant information from the audio data and computer operating context. 36. The system of claim 35, wherein the pattern detection module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context. 37. A method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application. 38. The method of claim 37, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context. 39. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system uses machine learning algorithms to identify relevant information from the audio data and computer operating context. 40. The system of claim 39, wherein the pattern detection module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context. 41. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application. 42. The method of claim 41, wherein the speech recognition module uses machine learning algorithms to identify relevant information from the audio data and computer operating context. 43. A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, the instructions comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application. 44. The medium of claim 43, wherein the instructions use natural language processing techniques to identify salient patterns in the audio data and computer operating context. 45. A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system uses machine learning algorithms to identify relevant information from the audio data and computer operating context. 46. The system of claim 45, wherein the pattern detection module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context. 47. A method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application. 48. The method of claim 47, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context. 49. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system uses machine learning algorithms to identify relevant information from the audio data and computer operating context. 50. The system of claim 49, wherein the pattern detection module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context. Claim 1: A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application. Claim 2: The method of claim 1, wherein the speech recognition module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context. Claim 3: A system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system uses machine learning algorithms to identify relevant information from the audio data and computer operating context. Claim 4: The system of claim 3, wherein the pattern detection module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context. Claim 5: A computer-readable medium having stored thereon a set of instructions for automatically capturing information from audio data and computer operating context, the instructions comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application. Claim 6: The medium of claim 5, wherein the instructions use natural language processing techniques to identify salient patterns in the audio data and computer operating context. Claim 7: A method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data and computer operating context; detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a note-taking application. Claim 8: The method of claim 7, wherein the speech recognition module uses machine learning algorithms to identify relevant information from the audio data and computer operating context. Claim 9: A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; a pattern detection module; and a note-taking application, wherein the system uses natural language processing techniques to identify salient patterns in the audio data and computer operating context. Claim 10: The system of claim 9, wherein the pattern detection module uses natural language processing techniques to identify salient patterns in the audio data and computer operating context.
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Receipt of Windforce automobile tires 15.04.2025
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