Opiniones sobre neumáticos Cordiant Snow Cross 2 SUV. Página 9 2665

Excelente goma, precio y calidad

Hice un pedido de 4 neumáticos (2 pedidos de 2 neumáticos) y al final enviaron 3 unidades desde un mismo lugar, 1 se envió por separado y solo se juntaron en Ufá)))
Sospechaba que serían de diferentes partidas, pero no, todas las llantas tienen la fecha 1724 (17 semana (abril) 2024). Son completamente nuevas. El olor a caucho estaba en el punto de entrega))
Los tacos están en un mismo nivel. El invierno mostrará la calidad..

Buenas llantas!!

**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 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 identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.

2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context, including user interactions, user input, and environmental factors.

3. 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application for interactive editing.

4. The method of claim 3, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction, and the speech recognition module uses deep learning algorithms to process the audio data and identify salient patterns.

5. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data from various sources; 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 for user interaction.

6. The method of claim 5, wherein the speech recognition module uses machine learning to identify salient patterns, and the notetaking application provides an interactive interface for editing the extracted information.

7. A 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 identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user for interaction.

8. The system of claim 7, wherein the activity detection module uses deep learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.

9. A computer-implemented method for 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; providing the extracted text and salient patterns to a notetaking application for editing.

10. The method of claim 9, wherein the speech recognition module uses natural language processing to identify salient patterns, and the notetaking application provides an interactive interface for user interaction.

11. A 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 identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.

12. The system of claim 11, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.

13. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data from various sources; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; providing the extracted text and salient patterns to a notetaking application for editing.

14. The method of claim 13, wherein the speech recognition module uses deep learning to identify salient patterns, and the notetaking application provides an interactive interface for user interaction.

15. A 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 identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user for interaction.

**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 identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
3. 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 to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application for editing.
4. The method of claim 3, wherein the speech recognition module uses natural language processing to identify salient patterns, and the notetaking application provides an interactive interface for user interaction.
5. A computer-implemented system for capturing information from audio data and computer operating context, comprising: receiving audio data from various sources; 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 for interaction.
6. The system of claim 5, wherein the activity detection module uses deep learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
7. A method for automatically capturing information from audio data and computer operating context, comprising: receiving audio data from various sources; 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 for editing.
8. The method of claim 7, wherein the speech recognition module uses machine learning to identify salient patterns, and the notetaking application provides an interactive interface for user interaction.
9. A 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 identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user for interaction.
10. The system of claim 9, wherein the activity detection module uses natural language processing to detect starting conditions for data extraction based on audio data and computer operating context.
11. A computer-implemented method for 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 for editing.
12. The method of claim 11, wherein the speech recognition module uses deep learning algorithms to identify salient patterns, and the notetaking application provides an interactive interface for user interaction.
13. A 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 identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user for interaction.
14. The system of claim 13, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on audio data and computer operating context.
15. A computer-implemented method for capturing information from audio data and computer operating context, comprising: receiving audio data from various sources; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; providing the extracted text and salient patterns to a notetaking application for interaction.

Entrega oportuna, lanzamiento del neumático 1824. Todo bien.

Hicimos un pedido de 4 ruedas. Todas llegaron al mismo tiempo. La goma es súper, todo es uniforme, todos los tacos están en su lugar, mi marido no se molestó, se sentó a revisar cada rueda.

La goma llegó en buen estado, compramos un conjunto de invierno, así que sabremos cómo se comporta en la carretera solo en invierno

Compré neumáticos de 17 pulgadas, con fecha de lanzamiento reciente, semana 22 de 2024. Ya los he instalado en mis nuevas llantas de aleación, y el equilibrado me ha sorprendido, no requirió más de 20 gramos de pesas. En invierno se verá cómo se comporta en la carretera.

Entregado en buen estado. Veremos en la práctica

La goma llegó a tiempo, la compramos en junio, el lote de los 4 neumáticos es de la semana 18 del año 24, fresca. En cuanto a los parámetros, todo es como lo habíamos pedido, en general, recomiendo a este vendedor )