Abstract: Techniques are disclosed herein for providing guidance for autonomous vehicles in areas of low network connectivity, such as rural areas. According to an embodiment, a guidance system receives a request to exchange data with a vehicle within a specified radius thereof over a wireless connection (e.g., a radio frequency protocol-based connection). The data is stored by the guidance system and is indicative of navigation information within the specified radius. The guidance system transmits the stored data to the vehicle. The guidance system also receives, from the vehicle, data indicative of navigation information for a path previously passed by the vehicle.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to collect and analyze driver rating information. An example apparatus includes at least one of an audio input device or a video input device to collect at least one of audio or video; a rating input device to receive a rating associated with a person; a first rating analyzer to analyze the at least one of the audio or the video to determine demographic information for the person; and a second rating analyzer to: analyze the demographic information, the rating, and historical rating information to detect a demographic trend in the rating information; and output an indication of the trend.

Abstract: An automated method to verify a block record for a digital ledger involves a first validation node (FVN) which receives a block record from a second validation node (SVN). The block record comprises a digital signature for the block record. In response to receiving the block record, the FVN automatically obtains a node identifier for the SVN, based on the digital signature for the block record. The first validator node uses the node identifier for the SVN to determine whether the SVN belongs to a validation group that comprises the FVN. The FVN uses an attestation service to determine whether the node identifier for the SVN belongs to a node with a trusted processor. The FVN determines whether the digital signature for the block record was created with a private key that corresponds to the node identifier for the SVN.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to collect and analyze driver rating information. An example apparatus includes at least one of an audio input device or a video input device to collect at least one of audio or video; a rating input device to receive a rating associated with a person; a first rating analyzer to analyze the at least one of the audio or the video to determine demographic information for the person; and a second rating analyzer to: analyze the demographic information, the rating, and historical rating information to detect a demographic trend in the rating information; and output an indication of the trend.

Abstract: Techniques are disclosed herein for providing guidance for autonomous vehicles in areas of low network connectivity, such as rural areas. According to an embodiment, a guidance system receives a request to exchange data with a vehicle within a specified radius thereof over a wireless connection (e.g., a radio frequency protocol-based connection). The data is stored by the guidance system and is indicative of navigation information within the specified radius. The guidance system transmits the stored data to the vehicle. The guidance system also receives, from the vehicle, data indicative of navigation information for a path previously passed by the vehicle.

Abstract: Techniques are disclosed herein for on-demand ad hoc cooperation for autonomous vehicles in an emergency situation. According to an embodiment, a trigger indicative of an emergency situation is detected by a vehicle control system. In response to the trigger, a platoon is formed with one or more vehicles within a predefined radius of the vehicle control system. Communications are established with the vehicles in the platoon to determine a course of action to perform during the emergency situation.

Abstract: Technologies for selectively excluding user data from machine learning operations include a compute device. The compute device includes circuitry configured to receive user data that defines content associated with a user and write the user data as one or more immutable entries in a data structure. The circuitry is also configured to receive a request to selectively exclude, from an analysis of the user data in the data structure, a portion of the user data that meets a set of criteria. Additionally, the circuitry is configured to analyze the user data in the data structure while excluding, from the analysis, user data that satisfies the set of criteria.

Abstract: Techniques for remote SGX enclave authentication are described. An attestation service may be used to attest that an enclave was successfully established on a Software Guard Extensions (SGX) enabled platform. Further, an attestation service may, in embodiments, be used as a notary system to attest that a public-key certificate was generated by a particular SGX enclave and, therefore, may be trusted by other remote enclaves for authentication. In an embodiment, a client-side SGX enclave may generate a public-private key pair (SK, PK), compute a cryptographic hash H of PK, create a report R containing H, obtain a quote Q on the report R from a quoting enclave component, obtain remote attestation response RA from an attestation service, and broadcast RA and PK to one or more server side SGX enclaves. Other embodiments are described and claimed.

Abstract: An automated method to verify a block record for a digital ledger involves a first validation node (FVN) which receives a block record from a second validation node (SVN). The block record comprises a digital signature for the block record. In response to receiving the block record, the FVN automatically obtains a node identifier for the SVN, based on the digital signature for the block record. The first validator node uses the node identifier for the SVN to determine whether the SVN belongs to a validation group that comprises the FVN. The FVN uses an attestation service to determine whether the node identifier for the SVN belongs to a node with a trusted processor. The FVN determines whether the digital signature for the block record was created with a private key that corresponds to the node identifier for the SVN. Other embodiments are described and claimed.