Tyre reviews Ikon Autograph Ultra 2 SUV. Page 1 24

Decent tires, glad with the purchase. On water, it's generally a blast!

They grip well on dry and wet asphalt.
Very stiff sidewall, so it's likely to be very difficult to get a bulge.
But the tire is noisy and goes over bumps very harshly.
For racing - great, for regular driving - I would recommend something softer.

**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 notetaking 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 notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the computer operating context, including the type of audio data, the notetaking application, and the electronic document.

3. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information, wherein the notetaking application allows users to edit the electronic document.

4. The system of claim 3, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction based on the computer operating context.

5. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition; identifying salient patterns using pattern detection; and providing the extracted text and salient patterns to a notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

6. The method of claim 5, wherein the speech recognition module uses deep learning algorithms to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.

7. A computer-implemented 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 notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

8. The system of claim 7, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including the type of audio data, and the notetaking application allows users to edit the electronic document.

9. 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 audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

10. The method of claim 9, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction based on the computer operating context, and the notetaking application allows users to edit the electronic document.

11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.

12. The system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including the type of audio data, and the notetaking application allows users to edit the electronic document.

13. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

14. The method of claim 13, wherein the speech recognition module uses deep learning algorithms to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.

15. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.

**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 audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the computer operating context.
3. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.
4. The system of claim 3, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including the type of audio data.
5. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
6. The method of claim 5, wherein the speech recognition module uses deep learning algorithms to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.
7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.
8. The system of claim 7, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including the type of audio data, and the notetaking application allows users to edit the electronic document.
9. 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 audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
10. The method of claim 9, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction based on the computer operating context, and the notetaking application allows users to edit the electronic document.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.
12. The system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including the type of audio data, and the notetaking application allows users to edit the electronic document.
13. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
14. The method of claim 13, wherein the speech recognition module uses deep learning algorithms to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.
15. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.

**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 audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the computer operating context.
3. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.
4. The system of claim 3, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including the type of audio data.
5. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
6. The method of claim 5, wherein the speech recognition module uses deep learning algorithms to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.
7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.
8. The system of claim 7, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including the type of audio data, and the notetaking application allows users to edit the electronic document.
9. 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 audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
10. The method of claim 9, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction based on the computer operating context, and the notetaking application allows users to edit the electronic document.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.
12. The system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including the type of audio data, and the notetaking application allows users to edit the electronic document.
13. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
14. The method of claim 13, wherein the speech recognition module uses deep learning algorithms to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.
15. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.

**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 audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application.
2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the computer operating context.
3. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.
4. The system of claim 3, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including the type of audio data.
5. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
6. The method of claim 5, wherein the speech recognition module uses deep learning algorithms to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.
7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.
8. The system of claim 7, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including the type of audio data, and the notetaking application allows users to edit the electronic document.
9. 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 audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
10. The method of claim 9, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction based on the computer operating context, and the notetaking application allows users to edit the electronic document.
11. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.
12. The system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context, including the type of audio data, and the notetaking application allows users to edit the electronic document.
13. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing audio data using speech recognition and pattern detection modules; and providing the extracted text and salient patterns to a notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.
14. The method of claim 13, wherein the speech recognition module uses deep learning algorithms to process audio data, and the pattern detection module uses machine learning algorithms to identify salient patterns.
15. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module for detecting starting conditions for data extraction; a speech recognition module for processing audio data; a pattern detection module for identifying salient patterns; and a notetaking application for interactively editing an electronic document incorporating the extracted information.

**Claims**:
1. A computer-implemented method for automatically capturing information from audio data and computer operating context.
2. The method of claim 1, wherein the method comprises detecting starting conditions for data extraction using an activity detection module.
3. The method of claim 2, wherein the method further comprises processing audio data using speech recognition and pattern detection modules.
4. The method of claim 3, wherein the method further comprises providing the extracted text and salient patterns to a notetaking application.
5. 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 notetaking application.
6. The system of claim 5, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context.
7. The system of claim 6, wherein the speech recognition module uses deep learning algorithms to process audio data.
8. The system of claim 7, wherein the pattern detection module uses machine learning algorithms to identify salient patterns.
9. A method for automatically capturing information from audio data and computer operating context, comprising detecting starting conditions for data extraction, processing audio data, and providing the extracted text and salient patterns to a notetaking application.
10. The method of claim 9, wherein the method further comprises interactively editing an electronic document incorporating the extracted information using the notetaking application.
11. A computer-implemented 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 notetaking application.
12. The system of claim 11, wherein the activity detection module detects starting conditions for data extraction based on the computer operating context.
13. The system of claim 12, wherein the speech recognition module uses natural language processing to process audio data.
14. The system of claim 13, wherein the pattern detection module uses machine learning algorithms to identify salient patterns.
15. A method for automatically capturing information from audio data and computer operating context, comprising detecting starting conditions for data extraction, processing audio data, and providing the extracted text and salient patterns to a notetaking application, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

Good tires. Soft, quiet. Comfortable. Handle great. I'm satisfied. The cost is justified.

Excellent tire.

High-quality. Used on highway and dirt road. No complaints so far. Wear is not noticeable yet. A bit noisy. Satisfied. I recommend.

I'm driving the second season of tires in size 255 55 18, my main complaint about them is the rapid wear. After 16,500 km of mileage, the tread remaining is 4.5 mm, while new ones have 7.4 mm. That is, about half of the resource is all. It seems a bit too little. Yes, and also, on one tire, I punctured the sidewall, bought one replacement tire of the same kind, only a year fresher. And what? It has a radial runout of 2 mm. At a speed of 100-110 km/h, there is a slight vibration if it is on the front axle. And these are considered premium tires? In terms of noise, they are noisier than average. I have no complaints about the other characteristics. I will definitely not take such tires again.

Fast shipping, fresh tires, I recommend the seller!

Everything is fine!

Modern off-road tire with asymmetric tread pattern.