Abstract: Apparatus and methods for bone conduction detection are disclosed herein. An example apparatus includes memory; machine-readable instructions; and processor circuitry to execute the machine-readable instructions to associate a vibration signal with a voice or with motion, the vibration signal transmitted via a bone structure of a user; permit access to a user application based on the association of the vibration signal with the voice; and deny access to the user application based on the association of the vibration signal with the motion.

Abstract: Methods and apparatus to provide power management for multi-die stacks using artificial intelligence are disclosed. An example integrated circuit (IC) package includes a computer processor unit (CPU) die, a memory die, inference engine circuitry within the CPU die, the inference engine circuitry to infer, based on a first machine learning model, a workload for at least one of the CPU die or the memory die, and power management engine circuitry within the CPU die, the power management engine circuitry distinct from the inference engine circuitry, the power management engine circuitry to adjust, based on a second machine learning model different than the first machine learning model, operational parameters associated with the at least one of the CPU die or the memory die, the inferred workload to be an input to the second machine learning model.

Abstract: Technologies for providing a cognitive capacity test for autonomous driving include a compute device. The compute device includes circuitry that is configured to display content to a user, prompt a message to the user to turn user’s attention to another activity that needs situational awareness, receive a user response, and analyze the user response to determine an accuracy of the user response and a response time, wherein the accuracy and response time are indicative of a cognitive capacity of the user to assume control of an autonomous vehicle when the autonomous vehicle encounters a situation that the vehicle is unable to navigate.

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: Apparatus and methods for bone conduction detection are disclosed herein. An example apparatus includes memory; machine-readable instructions; and processor circuitry to execute the machine-readable instructions to associate a vibration signal with a voice or with motion, the vibration signal transmitted via a bone structure of a user; permit access to a user application based on the association of the vibration signal with the voice; and deny access to the user application based on the association of the vibration signal with the motion.

Abstract: Technologies for providing a cognitive capacity test for autonomous driving include a compute device. The compute device includes circuitry that is configured to display content to a user, prompt a message to the user to turn user's attention to another activity that needs situational awareness, receive a user response, and analyze the user response to determine an accuracy of the user response and a response time, wherein the accuracy and response time are indicative of a cognitive capacity of the user to assume control of an autonomous vehicle when the autonomous vehicle encounters a situation that the vehicle is unable to navigate.

Abstract: Methods and apparatus to provide power management for multi-die stacks using artificial intelligence are disclosed. An example integrated circuit (IC) package includes a computer processor unit (CPU) die, a memory die, inference engine circuitry within the CPU die, the inference engine circuitry to infer, based on a first machine learning model, a workload for at least one of the CPU die or the memory die, and power management engine circuitry within the CPU die, the power management engine circuitry distinct from the inference engine circuitry, the power management engine circuitry to adjust, based on a second machine learning model different than the first machine learning model, operational parameters associated with the at least one of the CPU die or the memory die, the inferred workload to be an input to the second machine learning model.

Abstract: Apparatus and methods for bone conduction detection are disclosed herein. An example apparatus includes a first sensor to output a first vibration signal associated with a first bone structure of a user, a second sensor to output a second vibration signal associated with a second bone structure of the user, memory, and at least one processor to execute instructions to determine a sound associated with at least one of the first vibration signal or the second vibration signal originated external to the user; determine a direction from which the sound originated relative to the user; and generate a signal to cause an output device to present an alert to the user, the alert indicative of the direction of the sound.

Abstract: Methods and apparatus to provide power management for multi-die stacks using artificial intelligence are disclosed. An example multi-die package includes a computer processor unit (CPU) die, a memory die stacked in vertical alignment with the CPU die, and artificial intelligence (AI) architecture circuitry to infer a workload for at least one of the CPU die or the memory die. The AI architecture circuitry is to manage power consumption of at least one of the CPU die or the memory die based on the inferred workload.

Abstract: The present disclosure may be directed to a computer-assisted or autonomous driving (CA/AD) vehicle that receives a plurality of indications of a condition of one or more features of a plurality of locations of a roadway, respectively, encoded in a plurality of navigation signals broadcast by a plurality of transmitters as the CA/AD vehicle drives past the locations enroute to a destination. The CA/AD vehicle may then determine, based in part on the received indications, driving adjustments to be made and send indications of the driving adjustments to a driving control unit of the CA/AD vehicle.

Abstract: The present disclosure may be directed to a computer-assisted or autonomous driving (CA/AD) vehicle that receives a plurality of indications of a condition of one or more features of a plurality of locations of a roadway, respectively, encoded in a plurality of navigation signals broadcast by a plurality of transmitters as the CA/AD vehicle drives past the locations enroute to a destination. The CA/AD vehicle may then determine, based in part on the received indications, driving adjustments to be made and send indications of the driving adjustments to a driving control unit of the CA/AD vehicle.

Abstract: Apparatus and methods for bone conduction detection are disclosed herein. An example apparatus includes a first sensor to output a first vibration signal associated with a first bone structure of a user, a second sensor to output a second vibration signal associated with a second bone structure of the user, memory, and at least one processor to execute instructions to determine a sound associated with at least one of the first vibration signal or the second vibration signal originated external to the user; determine a direction from which the sound originated relative to the user; and generate a signal to cause an output device to present an alert to the user, the alert indicative of the direction of the sound.

Abstract: Apparatus and methods for bone conduction detection are disclosed herein. An example wearable device includes a first sensor positioned to generate first vibration information from a bone structure of a user and a second sensor positioned to generate second vibration information from the bone structure of the user. The first vibration information and the second vibration information include sound data and motion data. The motion data is indicative of a motion by the user. The example wearable device includes a signal modifier to generate a modified signal including the sound data based on the first vibration information and the second vibration information. The example wearable device includes a communicator to transmit the modified signal for output via a speaker.

Abstract: Apparatus and methods for bone conduction detection are disclosed herein. An example wearable device includes a first sensor positioned to generate first vibration information from a bone structure of a user and a second sensor positioned to generate second vibration information from the bone structure of the user. The first vibration information and the second vibration information include sound data and motion data. The motion data is indicative of a motion by the user. The example wearable device includes a signal modifier to generate a modified signal including the sound data based on the first vibration information and the second vibration information. The example wearable device includes a communicator to transmit the modified signal for output via a speaker.

Abstract: Apparatus and methods for bone conduction detection are disclosed herein. An example wearable device includes a first sensor positioned to generate first vibration information from a bone structure of a user and a second sensor positioned to generate second vibration information from the bone structure of the user. The first vibration information and the second vibration information include sound data and motion data. The motion data is indicative of a motion by the user. The example wearable device includes a signal modifier to generate a modified signal including the sound data based on the first vibration information and the second vibration information. The example wearable device includes a communicator to transmit the modified signal for output via a speaker.

Abstract: Technologies for providing a cognitive capacity test for autonomous driving include a compute device. The compute device includes circuitry that is configured to display content to a user, prompt a message to the user to turn user's attention to another activity that needs situational awareness, receive a user response, and analyze the user response to determine an accuracy of the user response and a response time, wherein the accuracy and response time are indicative of a cognitive capacity of the user to assume control of an autonomous vehicle when the autonomous vehicle encounters a situation that the vehicle is unable to navigate.

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: An embodiment includes an apparatus comprising: a first layer, including a first semiconductor switching element, coupled to a first portion of a first bonding material; and a second layer, including a second semiconductor switching element, coupled to a second portion of a second bonding material; wherein (a) the first layer is over the second layer, (b) the first portion is directly connected to the second portion, and (c) first sidewalls of the first portion are unevenly serrated. Other embodiments are described herein.

Abstract: The present disclosure may be directed to a computer-assisted or autonomous driving (CA/AD) vehicle that receives a plurality of indications of a condition of one or more features of a plurality of locations of a roadway, respectively, encoded in a plurality of navigation signals broadcast by a plurality of transmitters as the CA/AD vehicle drives past the locations enroute to a destination. The CA/AD vehicle may then determine, based in part on the received indications, driving adjustments to be made and send indications of the driving adjustments to a driving control unit of the CA/AD vehicle.

Abstract: Methods and apparatus to provide power management for multi-die stacks using artificial intelligence are disclosed. An example multi-die package includes a computer processor unit (CPU) die, a memory die stacked in vertical alignment with the CPU die, and artificial intelligence (AI) architecture circuitry to infer a workload for at least one of the CPU die or the memory die. The AI architecture circuitry is to manage power consumption of at least one of the CPU die or the memory die based on the inferred workload.