Abstract: According to an aspect of an embodiment, a method may include obtaining map data of a physical area. The map data may include surface data included in the physical area. The surface data may include locations of one or more objects at the surface. The method may also include identifying a first relationship between the map data and sensor information used by autonomous-vehicle software of an autonomous vehicle for navigation. The method may also include generating a three-dimensional environmental representation that represents the physical area based on the map data and the first relationship between the map data and the sensor information. The three-dimensional environmental representation may be configurable as a simulation environment with respect to testing the autonomous-vehicle software.

Abstract: According to an aspect of an embodiment, a method may include obtaining map data of a physical area. The map data may include surface data included in the physical area. The surface data may include locations of one or more objects at the surface. The method may also include identifying a first relationship between the map data and sensor information used by autonomous-vehicle software of an autonomous vehicle for navigation. The method may also include generating a three-dimensional environmental representation that represents the physical area based on the map data and the first relationship between the map data and the sensor information. The three-dimensional environmental representation may be configurable as a simulation environment with respect to testing the autonomous-vehicle software.

Abstract: Provided are systems and methods of a chatbot that can response on behalf of a first user during a three-way chat communication including multiple users and the chatbot. In one example, the method may include receiving a chat message transmitted from a first user device to a second user device, determining, via a machine learning model, an intent of the received chat message, detecting a suggested response based on the determined intent and external data, determining a confidence value for the suggested response based on a source of the suggested response, and outputting the suggested response when the confidence value is above a predetermined threshold via a chatbot of the chat application that is displayed within a user interface of the chat application on the second user device.

Abstract: Provided are systems and methods for real-time identification of fraudulent users of an online resource such as a website or mobile application, including new user accounts that have yet to transact on the online resource. In one example, a method may include receiving, by a host platform of an online resource, a request from a user device associated with a user account of the online resource, creating, by the host platform, a device fingerprint of the user device based on a plurality of device attributes included in the request, determining, by the host platform, whether the device fingerprint matches a previously banned device fingerprint stored in a database by the online resource, and in response to a determination that the device fingerprint has been banned previously, automatically restricting, by the host platform, an ability of the user account with the online resource.

Abstract: A method may include obtaining HD mapping data including multiple data topics with one or more distinct instances. The method may include creating multiple meshes from corresponding distinct instances. The method may include defining multiple textures for each data topic. The method may include selecting a first data topic and a first distinct instance of the first data topic. The method may include selecting a first texture for the first data topic and applying the first texture to a first mesh corresponding with the first distinct instance. The method may include selecting a second distinct instance of the first data topic. The method may include selecting a second texture and applying the second texture to a second mesh corresponding with the second distinct instance. The method may also include combining the first mesh and the first texture with the second mesh and the second texture to generate a combined mesh.

Abstract: A processor may identify a first directory in the storage system. The first directory may include one or more subdirectories in one or more levels under the first directory. The one or more subdirectories may include a second directory that has includes one or more objects. The first directory may be associated with a first inode, and the second directory may be associated with a second inode. The processor may perform a stat call on the second directory to determine metadata attributes for the one or more objects that are stored in the second directory. The metadata attributes for the one or more objects may be stored in the second inode. The processor may add the metadata attributes for the one or more objects to the first inode.

Abstract: Provided are systems and methods of a chatbot that can response on behalf of a first user during a three-way chat communication including multiple users and the chatbot. In one example, the method may include receiving a chat message transmitted from a first user device to a second user device, determining, via a machine learning model, an intent of the received chat message, detecting a suggested response based on the determined intent and external data, determining a confidence value for the suggested response based on a source of the suggested response, and outputting the suggested response when the confidence value is above a predetermined threshold via a chatbot of the chat application that is displayed within a user interface of the chat application on the second user device.

Abstract: A method may include obtaining HD mapping data including multiple data topics with one or more distinct instances. The method may include creating multiple meshes from corresponding distinct instances. The method may include defining multiple textures for each data topic. The method may include selecting a first data topic and a first distinct instance of the first data topic. The method may include selecting a first texture for the first data topic and applying the first texture to a first mesh corresponding with the first distinct instance. The method may include selecting a second distinct instance of the first data topic. The method may include selecting a second texture and applying the second texture to a second mesh corresponding with the second distinct instance. The method may also include combining the first mesh and the first texture with the second mesh and the second texture to generate a combined mesh.

Abstract: According to an aspect of an embodiment, a method may include obtaining map data of a physical area. The map data may include surface data included in the physical area. The surface data may include locations of one or more objects at the surface. The method may also include identifying a first relationship between the map data and sensor information used by autonomous-vehicle software of an autonomous vehicle for navigation. The method may also include generating a three-dimensional environmental representation that represents the physical area based on the map data and the first relationship between the map data and the sensor information. The three-dimensional environmental representation may be configurable as a simulation environment with respect to testing the autonomous-vehicle software.

Abstract: According to an aspect of an embodiment, a method may include obtaining road data and general area data of a geographic area. The method may also include obtaining filtered road data according to a first degree of accuracy based on a first relationship between the road data and sensor information used by autonomous-vehicle software of an autonomous vehicle to navigate roadways. The method may also include obtaining filtered general area data according to a second degree of accuracy based on a second relationship between the sensor information used by the autonomous-vehicle software and the general area data. The method may also include generating a three-dimensional environmental representation representing the geographic area based on the filtered road data and the filtered general area data. The three-dimensional environmental representation may be for testing the autonomous-vehicle software.

Abstract: A processor may identify a first directory in the storage system. The first directory may include one or more subdirectories in one or more levels under the first directory. The one or more subdirectories may include a second directory that has includes one or more objects. The first directory may be associated with a first inode, and the second directory may be associated with a second inode. The processor may perform a stat call on the second directory to determine metadata attributes for the one or more objects that are stored in the second directory. The metadata attributes for the one or more objects may be stored in the second inode. The processor may add the metadata attributes for the one or more objects to the first inode.

Abstract: A processor may identify a first directory in the UFO storage system. The first directory may include one or more subdirectories in one or more levels under the first directory. The one or more subdirectories may include a second directory that has includes one or more objects. The first directory may be associated with a first inode, and the second directory may be associated with a second inode. The processor may perform a stat call on the second directory to determine metadata attributes for the one or more objects that are stored in the second directory. The metadata attributes for the one or more objects may be stored in the second inode. The processor may add the metadata attributes for the one or more objects to the first inode.

Abstract: According to an aspect of an embodiment, a method may include obtaining road data and general area data of a geographic area. The method may also include obtaining filtered road data according to a first degree of accuracy based on a first relationship between the road data and sensor information used by autonomous-vehicle software of an autonomous vehicle to navigate roadways. The method may also include obtaining filtered general area data according to a second degree of accuracy based on a second relationship between the sensor information used by the autonomous-vehicle software and the general area data. The method may also include generating a three-dimensional environmental representation representing the geographic area based on the filtered road data and the filtered general area data. The three-dimensional environmental representation may be for testing the autonomous-vehicle software.

Abstract: A method may include obtaining HD mapping data including multiple data topics with one or more distinct instances. The method may include creating multiple meshes from corresponding distinct instances. The method may include defining multiple textures for each data topic. The method may include selecting a first data topic and a first distinct instance of the first data topic. The method may include selecting a first texture for the first data topic and applying the first texture to a first mesh corresponding with the first distinct instance. The method may include selecting a second distinct instance of the first data topic. The method may include selecting a second texture and applying the second texture to a second mesh corresponding with the second distinct instance. The method may also include combining the first mesh and the first texture with the second mesh and the second texture to generate a combined mesh.

Abstract: A processor may identify a first directory in the UFO storage system. The first directory may include one or more subdirectories in one or more levels under the first directory. The one or more subdirectories may include a second directory that has includes one or more objects. The first directory may be associated with a first inode, and the second directory may be associated with a second inode. The processor may perform a stat call on the second directory to determine metadata attributes for the one or more objects that are stored in the second directory. The metadata attributes for the one or more objects may be stored in the second inode. The processor may add the metadata attributes for the one or more objects to the first inode.

Abstract: A processor may identify a first directory in the UFO storage system. The first directory may include one or more subdirectories in one or more levels under the first directory. The one or more subdirectories may include a second directory that has includes one or more objects. The first directory may be associated with a first inode, and the second directory may be associated with a second inode. The processor may perform a stat call on the second directory to determine metadata attributes for the one or more objects that are stored in the second directory. The metadata attributes for the one or more objects may be stored in the second inode. The processor may add the metadata attributes for the one or more objects to the first inode.

Abstract: A corpus of texts relating to a domain of knowledge may be searched by determining word-pair proximity scores measuring associations between pairs of words that appear in the corpus and that are semantically related to the domain of knowledge. When a search term is received, the word-pair proximity scores may be used (at least in part) with dictionary overlays, user feedback, and other feature vectors as weighting mechanisms to identify one or more related words that are strongly associated with the search term within the corpus. One or more texts may be selected from the corpus, texts in which the search term and the related words appear near each other in one or more places. The selected texts may be categorized and/or clustered based on the related words before being returned for presentation as Search Results.

Abstract: In one embodiment, an exhaust waste heat recovery system includes a first exhaust waste heat recovery assembly including a central exhaust channel configured to allow passage of exhaust along an exhaust axis, and a first plurality of thermoelectric (TE) legs, each of the first plurality of TE legs including a hot end in thermal communication with the exhaust channel, and a cold end opposite to the hot end, and an electrical coupler in electrical communication with each of the first plurality of TE legs, the electrical coupler configured to receive electricity from the first plurality of TE legs.

Abstract: A corpus of texts relating to a domain of knowledge may be searched by determining word-pair proximity scores measuring associations between pairs of words that appear in the corpus and that are semantically related to the domain of knowledge. When a search term is received, the word-pair proximity scores may be used (at least in part) with dictionary overlays, user feedback, and other feature vectors as weighting mechanisms to identify one or more related words that are strongly associated with the search term within the corpus. One or more texts may be selected from the corpus, texts in which the search term and the related words appear near each other in one or more places. The selected texts may be categorized and/or clustered based on the related words before being returned for presentation as Search Results.

Abstract: Aspects of the present invention disclose a method for optimizing shared services orchestration. The method includes one or more computer processors receiving resource requirements from a client. The method further includes one or more computer processors determining a list of rules. The method further includes one or more computer processors determining at least one resource based on the resource requirements and the list of rules. The method further includes one or more computer processors deploying at least one resource from the determined at least one resource.