Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) for software defined silicon guardianship are disclosed.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to provide device enhancements for software defined silicon implementations are disclosed. Example non-transitory computer readable medium includes instructions to cause one or more processors to at least generate a first stock keeping unit, associate the first stock keeping unit with a semiconductor device, the first stock keeping unit associated with a first set of features to be provided by the semiconductor device, command the semiconductor device to activate a feature not included in the first set of features to cause the semiconductor device to provide a second set of features, generate a second stock keeping unit for the semiconductor device, and associate the second stock keeping unit with the semiconductor device and the second set of features to be provided by the semiconductor device.

Abstract: In one embodiment, an apparatus comprises circuitry, wherein the circuitry is configured to: receive, via a communications network, context information for a first set of one or more edge devices, wherein the context information identifies an operating environment of the first set of edge devices based on information from one or more sensors; receive, via the communications network, workload information for a second set of one or more edge devices; determine workload assignments for the first set of edge devices based on the context information for the first set of edge devices and based on the workload information for the second set of edge devices; and transmit, via the communications network, the workload assignments to the first set of edge devices.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to provide device enhancements for software defined silicon implementations are disclosed. Example non-transitory computer readable medium includes instructions to cause one or more processors to at least generate a first stock keeping unit, associate the first stock keeping unit with a semiconductor device, the first stock keeping unit associated with a first set of features to be provided by the semiconductor device, command the semiconductor device to activate a feature not included in the first set of features to cause the semiconductor device to provide a second set of features, generate a second stock keeping unit for the semiconductor device, and associate the second stock keeping unit with the semiconductor device and the second set of features to be provided by the semiconductor device.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to provide device enhancements for software defined silicon implementations are disclosed. Example apparatus disclosed herein include a request interface to receive a request for a timestamp. Disclosed example apparatus also include a property checker to determine a first value of an electrical property of a feature embedded in a silicon product, the feature having electrical properties that change over time. Disclosed example apparatus further include a relative time determiner to calculate a relative time between the request and a previous event based on the first value of the electrical property and a second value of the electrical property, the second value of the electrical property associated with the previous event.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) for software defined silicon security are disclosed. Example apparatus include a trusted agent determiner to (i) determine respective reputation scores associated with a plurality of agents in a mesh network, the plurality of agents associated with a plurality of semiconductor devices, respective ones of the semiconductor devices including circuitry configurable to provide one or more features, and (ii) select, based on the respective reputation scores, a first agent from the plurality of the agents to transmit a request to activate or deactivate at least one of the one or more features. Example apparatus also include an agent interface to, in response to the request, broadcast an activation or deactivation of the least one of the one or more features to the mesh network to cause the trusted agent determiner to update the reputation score of the first agent.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to implement and manage software defined silicon products are disclosed. Example semiconductor devices disclosed herein include circuitry configurable to provide one or more features. Disclosed example semiconductor devices also include a license processor to activate or deactivate at least one of the one or more features based on a license received via a network from a first remote enterprise system. Disclosed example semiconductor devices further include an analytics engine to report telemetry data associated with operation of the semiconductor device to at least one of the first remote enterprise system or a second remote enterprise system, the analytics engine to report the telemetry data in response to activation or deactivation of the at least one of the one or more features based on the license.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory stores visual data captured by one or more sensors. The processor detects one or more first objects in the visual data based on a machine learning model and one or more first reference templates. The processor further determines, based on an object ontology, that the visual data is expected to contain a second object, wherein the object ontology indicates that the second object is related to the one or more first objects. The processor further detects the second object in the visual data based on the machine learning model and a second reference template. The processor further determines, based on an inference rule, that the visual data is expected to contain a third object. The processor further detects the third object in the visual data based on the machine learning model and a third reference template.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) for software defined silicon security are disclosed. Example apparatus include a trusted agent determiner to (i) determine respective reputation scores associated with a plurality of agents in a mesh network, the plurality of agents associated with a plurality of semiconductor devices, respective ones of the semiconductor devices including circuitry configurable to provide one or more features, and (ii) select, based on the respective reputation scores, a first agent from the plurality of the agents to transmit a request to activate or deactivate at least one of the one or more features. Example apparatus also include an agent interface to, in response to the request, broadcast an activation or deactivation of the least one of the one or more features to the mesh network to cause the trusted agent determiner to update the reputation score of the first agent.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to implement and manage software defined silicon products are disclosed. Example semiconductor devices disclosed herein include circuitry configurable to provide one or more features. Disclosed example semiconductor devices also include a license processor to activate or deactivate at least one of the one or more features based on a license received via a network from a first remote enterprise system. Disclosed example semiconductor devices further include an analytics engine to report telemetry data associated with operation of the semiconductor device to at least one of the first remote enterprise system or a second remote enterprise system, the analytics engine to report the telemetry data in response to activation or deactivation of the at least one of the one or more features based on the license.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory stores visual data captured by one or more sensors. The processor detects one or more first objects in the visual data based on a machine learning model and one or more first reference templates. The processor further determines, based on an object ontology, that the visual data is expected to contain a second object, wherein the object ontology indicates that the second object is related to the one or more first objects. The processor further detects the second object in the visual data based on the machine learning model and a second reference template. The processor further determines, based on an inference rule, that the visual data is expected to contain a third object. The processor further detects the third object in the visual data based on the machine learning model and a third reference template.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) for software defined silicon guardianship are disclosed.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to implement software defined silicon feature licensing are disclosed. Example licensor systems disclosed herein includes a third party verifier to verify one or more credentials included in a request to become an authorized delegated licensor, the request received from a third party. Disclosed example licensor systems also include a feature identifier to identify a feature of a silicon structure which the third party is to be granted the authority to license.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to protect against misuse of software defined silicon products are disclosed. Example semiconductor devices disclosed herein include circuitry configurable to provide one or more features. Disclosed example semiconductor devices also include a license processor determine whether first identification information associated with a license received via a network from an enterprise system corresponds to second identification information associated with at least one of the semiconductor device or a customer, and configure the circuitry to activate a first one of the one or more features specified in the license in response to the first identification information corresponding to the second identification information.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to provide device enhancements for software defined silicon implementations are disclosed. Example apparatus disclosed herein include a request interface to receive a request for a timestamp. Disclosed example apparatus also include a property checker to determine a first value of an electrical property of a feature embedded in a silicon product, the feature having electrical properties that change over time. Disclosed example apparatus further include a relative time determiner to calculate a relative time between the request and a previous event based on the first value of the electrical property and a second value of the electrical property, the second value of the electrical property associated with the previous event.

Abstract: Example methods, apparatus, and systems to implement an Internet-of-Things (IoT) device are disclosed. An example apparatus includes memory; processor circuitry including a field programmable gate array (FPGA), the processor circuitry to execute, on the IoT edge device, at least one application from a management server system in a cloud; execute software to monitor an operating state of the application on the IoT edge device; execute the software to manage communication between the IoT edge device and a downstream IoT device; execute the software to manage communication between the IoT edge device and the cloud; detect that the operating state for the application is a first state; restart the application to return the operating state of the application to a second state; access data from the downstream IoT device; and execute a machine learning model with the FPGA to process the data at the IoT edge device.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.