Abstract: Methods and apparatus are disclosed to determine a consumer classification segment. A disclosed example method involves generating, with a processor, a list of consumer classification segments based on geographic indicators associated with a mobile device, associating, with the processor, the mobile device with a first consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a first application was executed, and associating, with the processor, the mobile device with a second consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a second application was executed.

Abstract: Artificial assistant system notification techniques are described that overcome the challenges of conventional search techniques. In one example, a user profile is generated to describe aspects of products or services learned through natural language conversations between a user and an artificial assistant system. These aspects may include price as well as non-price aspects such as color, texture, material, and so forth. To learn the aspects, the artificial assistant system may leverage spoken utterances and text initiated by the user as well as learn the aspects from digital images output as part of the conversation. Once generated, the user profile is then usable by the artificial assistant system to assist in subsequent searches.

Abstract: Artificial assistant system notification techniques are described that overcome the challenges of conventional search techniques. In one example, a user profile is generated to describe aspects of products or services learned through natural language conversations between a user and an artificial assistant system. These aspects may include price as well as non-price aspects such as color, texture, material, and so forth. To learn the aspects, the artificial assistant system may leverage spoken utterances and text initiated by the user as well as learn the aspects from digital images output as part of the conversation. Once generated, the user profile is then usable by the artificial assistant system to assist in subsequent searches.

Abstract: Methods and apparatus are disclosed to determine a consumer classification segment. A disclosed example method involves generating, with a processor, a list of consumer classification segments based on geographic indicators associated with a mobile device, associating, with the processor, the mobile device with a first consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a first application was executed, and associating, with the processor, the mobile device with a second consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a second application was executed.

Abstract: Methods and apparatus are disclosed to determine a consumer classification segment. A disclosed example method involves generating, with a processor, a list of consumer classification segments based on geographic indicators associated with a mobile device, associating, with the processor, the mobile device with a first consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a first application was executed, and associating, with the processor, the mobile device with a second consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a second application was executed.

Abstract: Methods and apparatus are disclosed to determine a consumer classification segment. A disclosed example method involves generating, with a processor, a list of consumer classification segments based on geographic indicators associated with a mobile device, associating, with the processor, the mobile device with a first consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a first application was executed, and associating, with the processor, the mobile device with a second consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a second application was executed.

Abstract: Methods and apparatus are disclosed to determine a consumer classification segment. A disclosed example method involves generating, with a processor, a list of consumer classification segments based on geographic indicators associated with a mobile device, associating, with the processor, the mobile device with a first consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a first application was executed, and associating, with the processor, the mobile device with a second consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a second application was executed.

Abstract: An enhanced radar detector in one example displays a source direction of one more detected signals simultaneously with a frequency band of the detected signal. In another embodiment, a method detects a location of a false alert source to suppress alerts emanating from the location. A geographic location of a first mid-ship point of a detected radar signal in a vehicle traveling in a first direction are identified/recorded. The geographic location of a second mid-ship point of a detected signal is also identified/recorded in a vehicle traveling in a second different direction. The recorded geographic locations/directions of travel are uploaded to a host server, or evaluated within the radar detector, to identify a false source and mark a false source at an intersection of the first and second midlines. The marked false source location can be used in a detector and/or downloaded to multiple detectors via a social network.

Abstract: Methods and apparatus are disclosed to determine a consumer classification segment. A disclosed example method involves generating, with a processor, a list of consumer classification segments based on geographic indicators associated with a mobile device, associating, with the processor, the mobile device with a first consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a first application was executed, and associating, with the processor, the mobile device with a second consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a second application was executed.

Abstract: Methods and apparatus are disclosed to determine a consumer classification segment. A disclosed example method involves generating, with a processor, a list of consumer classification segments based on geographic indicators associated with a mobile device, associating, with the processor, the mobile device with a first consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a first application was executed, and associating, with the processor, the mobile device with a second consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a second application was executed.

Abstract: Artificial assistant system notification techniques are described that overcome the challenges of conventional search techniques. In one example, a user profile is generated to describe aspects of products or services learned through natural language conversations between a user and an artificial assistant system. These aspects may include price as well as non-price aspects such as color, texture, material, and so forth. To learn the aspects, the artificial assistant system may leverage spoken utterances and text initiated by the user as well as learn the aspects from digital images output as part of the conversation. Once generated, the user profile is then usable by the artificial assistant system to assist in subsequent searches.

Abstract: A radar detector suppresses alerts from vehicle guidance systems, by sweeping for a consistent radar signal; the center frequency of the signal is stored and the detector suppresses warnings of radar signals near that frequency. The detector uses an enhanced method for suppression of signals near a known location of a false signal source; in the event the detector detects a radar signal and finds a matching stored false signal, the detector will first compare the strength of the received signal to a threshold strength that is computed based upon the distance of the detector from the stored false signal, and will only suppress signals below threshold. The detector includes a camera directed to the road in the vicinity of the vehicle. Image data from the camera is processed to identify police vehicles as identified by flashing lights, a profile including a rooftop light bar and/or highly contrasting colored panels.

Abstract: Methods and apparatus are disclosed to determine a consumer classification segment. A disclosed example method involves generating, with a processor, a list of consumer classification segments based on geographic indicators associated with a mobile device, associating, with the processor, the mobile device with a first consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a first application was executed, and associating, with the processor, the mobile device with a second consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a second application was executed.

Abstract: Methods and apparatus are disclosed to determine a consumer classification segment. A disclosed example method involves generating, with a processor, a list of consumer classification segments based on geographic indicators associated with a mobile device, associating, with the processor, the mobile device with a first consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a first application was executed, and associating, with the processor, the mobile device with a second consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a second application was executed.

Abstract: Various embodiments of the present disclosure provide an energy absorbing steering column assembly with a J-shaped lower intermediate shaft that is coupled to an upper intermediate shaft. The J-shaped lower shaft includes a curved “slider” portion that fits within a bent portion of the upper shaft such that even when the rigid connection between the J-shaped lower shaft and the upper shaft is broken, the slider portion of the J-shaped lower shaft remains in contact with the upper shaft. Such a configuration enables the driver to maintain control of the vehicle through the steering wheel.

Abstract: Methods and apparatus are disclosed to determine a consumer classification segment. A disclosed example method involves generating, with a processor, a list of consumer classification segments based on geographic indicators associated with a mobile device, associating, with the processor, the mobile device with a first consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a first application was executed, and associating, with the processor, the mobile device with a second consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a second application was executed.

Abstract: Various embodiments of the present disclosure provide an energy absorbing steering column assembly with a J-shaped lower intermediate shaft that is coupled to an upper intermediate shaft. The J-shaped lower shaft includes a curved “slider” portion that fits within a bent portion of the upper shaft such that even when the rigid connection between the J-shaped lower shaft and the upper shaft is broken, the slider portion of the J-shaped lower shaft remains in contact with the upper shaft. Such a configuration enables the driver to maintain control of the vehicle through the steering wheel.

Abstract: Methods and apparatus are disclosed to determine a consumer classification segment. A disclosed example method involves generating, with a processor, a list of consumer classification segments based on geographic indicators associated with a mobile device, associating, with the processor, the mobile device with a first consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a first application was executed, and associating, with the processor, the mobile device with a second consumer classification segment of the list of consumer classification segments if the geographic indicators were retrieved while a second application was executed.

Abstract: An enhanced radar detector in one example displays a source direction of one more detected signals simultaneously with a frequency band of the detected signal. In another embodiment, a method detects a location of a false alert source to suppress alerts emanating from the location. A geographic location of a first mid-ship point of a detected radar signal in a vehicle traveling in a first direction are identified/recorded. The geographic location of a second mid-ship point of a detected signal is also identified/recorded in a vehicle traveling in a second different direction. The recorded geographic locations/directions of travel are uploaded to a host server, or evaluated within the radar detector, to identify a false source and mark a false source at an intersection of the first and second midlines. The marked false source location can be used in a detector and/or downloaded to multiple detectors via a social network.

Abstract: A radar detector suppresses alerts from vehicle guidance systems, by sweeping for a consistent radar signal; the center frequency of the signal is stored and the detector suppresses warnings of radar signals near that frequency. The detector uses an enhanced method for suppression of signals near a known location of a false signal source; in the event the detector detects a radar signal and finds a matching stored false signal, the detector will first compare the strength of the received signal to a threshold strength that is computed based upon the distance of the detector from the stored false signal, and will only suppress signals below threshold. The detector includes a camera directed to the road in the vicinity of the vehicle. Image data from the camera is processed to identify police vehicles as identified by flashing lights, a profile including a rooftop light bar and/or highly contrasting colored panels.