Abstract: Methods and apparatus for controlling a switch transition in an inductive switching circuit are disclosed. A switch driver is configured to receive an indication of current through a diode associated with a first switch and dynamically control a switch transition of a second switch based on the indication of current, so as to reduce the switch transition time, when possible, whilst maintaining a voltage transient due to the switch transition within an acceptable range.

Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.

Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.

Abstract: A frame assembly for a motor vehicle that may include a first load beam, a second load beam, and a frame rail that are configured for receipt and transfer of energy to a sill that can move the sill in a downward direction. A counterbalancing load beam that includes a first fixed end is attached to the first load beam and a second fixed end is attached to the frame rail. The counterbalancing load beam is configured for receipt of at least a portion of the energy applied to the first load beam, and the counterbalancing load beam is configured to transfer the energy received from the first load beam to the frame rail such that the transfer of energy to the sill that can move the sill in the downward direction is counterbalanced by the energy transferred by the counterbalancing load beam to the frame rail.

Abstract: A frame assembly for a motor vehicle that may include a first load beam, a second load beam, and a frame rail that are configured for receipt and transfer of energy to a sill that can move the sill in a downward direction. A counterbalancing load beam that includes a first fixed end is attached to the first load beam and a second fixed end is attached to the frame rail. The counterbalancing load beam is configured for receipt of at least a portion of the energy applied to the first load beam, and the counterbalancing load beam is configured to transfer the energy received from the first load beam to the frame rail such that the transfer of energy to the sill that can move the sill in the downward direction is counterbalanced by the energy transferred by the counterbalancing load beam to the frame rail.

Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.

Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.

Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.

Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.

Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.

Abstract: A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.

Abstract: An integrated circuit has at least two power domains. A first power domain has circuitry coupled between a first power supply terminal and a second power supply terminal. A second power domain has circuitry coupled between a third power supply terminal and a fourth power supply terminal. A complementary voltage regulator includes N-type and P-type voltage regulators. The N-type voltage regulator is coupled between the first and third power supply terminals and controls a first voltage level at the second power supply terminal. The P-type voltage regulator is coupled between the third and fourth power supply terminals and controls a second voltage level at the third power supply terminal. The N-type voltage regulator produces a mid-level supply voltage to the P-type regulator and a “ground” for the circuits in the first power domain. The P-type regulator circuit produces a “ground” for the N-type regulator and a mid-level supply voltage for the circuits in the second power-domain.

Abstract: An integrated circuit has at least two power domains. A first power domain has circuitry coupled between a first power supply terminal and a second power supply terminal. A second power domain has circuitry coupled between a third power supply terminal and a fourth power supply terminal. A complementary voltage regulator includes N-type and P-type voltage regulators. The N-type voltage regulator is coupled between the first and third power supply terminals and controls a first voltage level at the second power supply terminal. The P-type voltage regulator is coupled between the third and fourth power supply terminals and controls a second voltage level at the third power supply terminal. The N-type voltage regulator produces a mid-level supply voltage to the P-type regulator and a “ground” for the circuits in the first power domain. The P-type regulator circuit produces a “ground” for the N-type regulator and a mid-level supply voltage for the circuits in the second power-domain.