Abstract: A method and apparatus are disclosed. Some embodiments may include a sun visor configured to be received in a closed position within a recess of a head liner of a vehicle, a fastening component at a first edge of a top edge of the sun visor, configured to fasten the sun visor to the body of the vehicle, and to define an axis around which the sun visor is configured to rotate, wherein the sun visor is configured to rotate from the closed position to an open position by rotating toward a user sitting in a seat within the vehicle. The sun visor may include a second edge at an opposite edge of the sun visor with respect to the first edge of the sun visor, wherein when in the closed position the second edge is configured to be disposed at a non-zero angle away from a horizontal plane.

Abstract: Current chatbot systems cannot understand enough different topics to converse with students who have questions about college admissions, financial aid, courses, and other topics on the path to and through college. Current chatbots also have a hard time understanding misspellings, slang, and context-specific language, e.g., like the language used by students. “Learning” new topics is very time-consuming for current chatbots. And it is difficult for administrators to participate in student conversations carried out in part by current chatbots. To address these technical problems, an inventive chatbot uses a natural language processor (e.g., a neural network) to receive, classify, and respond to queries on thousands of different topics. An inventive chatbot can also request real-time assistance from an administrator when faced with a difficult query and learn on-the-fly from the administrator's response.

Abstract: Current chatbot systems cannot understand enough different topics to converse with students who have questions about college admissions, financial aid, courses, and other topics on the path to and through college. Current chatbots also have a hard time understanding misspellings, slang, and context-specific language, e.g., like the language used by students. “Learning” new topics is very time-consuming for current chatbots. And it is difficult for administrators to participate in student conversations carried out in part by current chatbots. To address these technical problems, an inventive chatbot uses a natural language processor (e.g., a neural network) to receive, classify, and respond to queries on thousands of different topics. An inventive chatbot can also request real-time assistance from an administrator when faced with a difficult query and learn on-the-fly from the administrator's response.

Abstract: A method and system for providing a cooperative automotive mobile charging infrastructure are described. In one embodiment, a method for providing a cooperative automotive mobile charging infrastructure includes receiving a notification indicating an availability for providing mobile charging to electric personal transport devices. Each notification includes an identification of an electrified vehicle to provide the mobile charging and a location of the electrified vehicle. The method includes receiving a request for mobile charging from a user and determining a candidate electrified vehicle that is available to provide mobile charging to the user. The method also includes providing the location of the candidate electrified vehicle to the user to provide mobile charging at the location to an electric personal transport device associated with the user.

Abstract: A method and system for providing a cooperative automotive mobile charging infrastructure are described. In one embodiment, a method for providing a cooperative automotive mobile charging infrastructure includes receiving a notification indicating an availability for providing mobile charging to electric personal transport devices. Each notification includes an identification of an electrified vehicle to provide the mobile charging and a location of the electrified vehicle. The method includes receiving a request for mobile charging from a user and determining a candidate electrified vehicle that is available to provide mobile charging to the user. The method also includes providing the location of the candidate electrified vehicle to the user to provide mobile charging at the location to an electric personal transport device associated with the user.

Abstract: Current chatbot systems cannot understand enough different topics to converse with students who have questions about college admissions, financial aid, courses, and other topics on the path to and through college. Current chatbots also have a hard time understanding misspellings, slang, and context-specific language, e.g., like the language used by students. “Learning” new topics is very time-consuming for current chatbots. And it is difficult for administrators to participate in student conversations carried out in part by current chatbots. To address these technical problems, an inventive chatbot uses a natural language processor (e.g., a neural network) to receive, classify, and respond to queries on thousands of different topics. An inventive chatbot can also request real-time assistance from an administrator when faced with a difficult query and learn on-the-fly from the administrator's response.

Abstract: A method and system for providing a cooperative automotive mobile charging infrastructure are described. In one embodiment, a method for providing a cooperative automotive mobile charging infrastructure includes receiving a notification indicating an availability for providing mobile charging to electric personal transport devices. Each notification includes an identification of an electrified vehicle to provide the mobile charging and a location of the electrified vehicle. The method includes receiving a request for mobile charging from a user and determining a candidate electrified vehicle that is available to provide mobile charging to the user. The method also includes providing the location of the candidate electrified vehicle to the user to provide mobile charging at the location to an electric personal transport device associated with the user.

Abstract: Current chatbot systems cannot understand enough different topics to converse with students who have questions about college admissions, financial aid, courses, and other topics on the path to and through college. Current chatbots also have a hard time understanding misspellings, slang, and context-specific language, e.g., like the language used by students. “Learning” new topics is very time-consuming for current chatbots. And it is difficult for administrators to participate in student conversations carried out in part by current chatbots. To address these technical problems, an inventive chatbot uses a natural language processor (e.g., a neural network) to receive, classify, and respond to queries on thousands of different topics. An inventive chatbot can also request real-time assistance from an administrator when faced with a difficult query and learn on-the-fly from the administrator's response.

Abstract: A method and system for providing a cooperative automotive mobile charging infrastructure are described. In one embodiment, a method for providing a cooperative automotive mobile charging infrastructure includes receiving a notification indicating an availability for providing mobile charging to electric personal transport devices. Each notification includes an identification of an electrified vehicle to provide the mobile charging and a location of the electrified vehicle. The method includes receiving a request for mobile charging from a user and determining a candidate electrified vehicle that is available to provide mobile charging to the user. The method also includes providing the location of the candidate electrified vehicle to the user to provide mobile charging at the location to an electric personal transport device associated with the user.

Abstract: Current chatbot systems cannot understand enough different topics to converse with students who have questions about college admissions, financial aid, courses, and other topics on the path to and through college. Current chatbots also have a hard time understanding misspellings, slang, and context-specific language, e.g., like the language used by students. “Learning” new topics is very time-consuming for current chatbots. And it is difficult for administrators to participate in student conversations carried out in part by current chatbots. To address these technical problems, an inventive chatbot uses a natural language processor (e.g., a neural network) to receive, classify, and respond to queries on thousands of different topics. An inventive chatbot can also request real-time assistance from an administrator when faced with a difficult query and learn on-the-fly from the administrator's response.