Abstract: A system, method, and computer-readable medium for performing a data center asset alert operation. The data center asset alert operation includes: monitoring a plurality of data center assets; determining when a first data center asset of the plurality of data center assets generates a first data center asset alert; determining when a second data center asset of the plurality of data center asserts generates a second data center asset alert; determining when the first data center alert and the second data center alert are substantively similar; and, generating a recommendation when the first data center alert and the second data center alert are substantively similar.

Abstract: Methods, systems, and computer program products for automated fault monitoring and detection in a system. The fault detection method comprising receiving real-time device measurement data from a plurality of input and/or output devices in the system; identifying at least one relationship that correlates the real-time device measurement data to a set of parameters that define operation of the system; calculating a performance indicator for the system based on the real-time device measurement data using the identified at least one relationship; and if the performance indicator is outside a predetermined range, then an anomaly is detected in the system. The fault detection method further comprises: identifying a faulty device among the plurality of input and/or output devices; and reporting the identified faulty device.

Abstract: Methods, systems, and devices for equipment reading in a factory or plant environment are described, including: capturing an image of an environment including a measurement device; detecting a target region included in the image, the target region including at least a portion of the measurement device; determining identification information associated with the measurement device based on detecting the target region; and extracting measurement information associated with the measurement device based on detecting the target region. In some aspects, detecting the target region may include: providing the image to a machine learning network; and receiving an output from the machine learning network in response to the machine learning network processing the image based on a detection model, the output including the target region.

Abstract: A system or a method includes defining missions based on factors associated with the missions or environmental data associated with the system, assigning the missions to the fleet of robots based on capabilities of the robots, generating a schedule of the missions and the robots, and managing the fleet of robots using feedback.

Abstract: A system or a method includes defining missions based on factors associated with the missions or environmental data associated with the system, assigning the missions to the fleet of robots based on capabilities of the robots, generating a schedule of the missions and the robots, and managing the fleet of robots using feedback.

Abstract: A system or a method includes defining missions based on factors associated with the missions or environmental data associated with the system, assigning the missions to the fleet of robots based on capabilities of the robots, generating a schedule of the missions and the robots, and managing the fleet of robots using feedback.

Abstract: A system or a method includes defining missions based on factors associated with the missions or environmental data associated with the system, assigning the missions to the fleet of robots based on capabilities of the robots, generating a schedule of the missions and the robots, and managing the fleet of robots using feedback.

Abstract: A system or a method includes defining missions based on factors associated with the missions or environmental data associated with the system, assigning the missions to the fleet of robots based on capabilities of the robots, generating a schedule of the missions and the robots, and managing the fleet of robots using feedback.

Abstract: An apparatus is provided which comprises: a first Power Management Unit (PMU); and a second PMU, wherein the first PMU is to manage transition of the apparatus from a low power state to a first active state, wherein the second PMU is to manage transition of the apparatus from the first active state to a second active state, and wherein the second PMU is to be powered down while the apparatus is to be in the low power state.

Abstract: An apparatus is provided which comprises: a first Power Management Unit (PMU); and a second PMU, wherein the first PMU is to manage transition of the apparatus from a low power state to a first active state, wherein the second PMU is to manage transition of the apparatus from the first active state to a second active state, and wherein the second PMU is to be powered down while the apparatus is to be in the low power state.

Abstract: An apparatus is provided which comprises: a first Power Management Unit (PMU); and a second PMU, wherein the first PMU is to manage transition of the apparatus from a low power state to a first active state, wherein the second PMU is to manage transition of the apparatus from the first active state to a second active state, and wherein the second PMU is to be powered down while the apparatus is to be in the low power state.

Abstract: An apparatus is provided which comprises: a first Power Management Unit (PMU); and a second PMU, wherein the first PMU is to manage transition of the apparatus from a low power state to a first active state, wherein the second PMU is to manage transition of the apparatus from the first active state to a second active state, and wherein the second PMU is to be powered down while the apparatus is to be in the low power state.