Abstract: Systems and methods for improving power efficiency of electronic systems are disclosed. An intelligent voltage regulator module (VRM) can self-regulate the output power provided to one or more components of an electronic system. For example, output voltage to a component can be increased when more computational power is needed or lowered when appropriate. The intelligent VRM can regulate the output power, for instance, based on one or more of usage or activity of the component. In some cases, the intelligent VRM can independently regulate the output power without input from a host device or override one or more output power parameters. Adjustment of the output power can be performed using machine learning (ML).

Abstract: Systems and methods for improving power efficiency of electronic systems are disclosed. An intelligent voltage regulator module (VRM) can self-regulate the output power provided to one or more components of an electronic system. For example, output voltage to a component can be increased when more computational power is needed or lowered when appropriate. The intelligent VRM can regulate the output power, for instance, based on one or more of usage or activity of the component. In some cases, the intelligent VRM can independently regulate the output power without input from a host device or override one or more output power parameters. Adjustment of the output power can be performed using machine learning (ML).

Abstract: Systems and methods for improving power efficiency of electronic systems are disclosed. An intelligent voltage regulator module (VRM) can self-regulate the output power provided to one or more components of an electronic system. For example, output voltage to a component can be increased when more computational power is needed or lowered when appropriate. The intelligent VRM can regulate the output power, for instance, based on one or more of usage or activity of the component. In some cases, the intelligent VRM can independently regulate the output power without input from a host device or override one or more output power parameters. Adjustment of the output power can be performed using machine learning (ML).

Abstract: A system for disassociating molecules of a gas based on RF power. Characteristics of the RF power can be tuned to increase disassociation efficiency. The system can include a disassociation chamber configured to enclose a volume of a gas and a radio frequency (RF) power source configured to provide RF power to the disassociation chamber. The RF power source can include a radio-frequency generator configured to generate an electromagnetic (EM) radiation having a frequency between about 20 MHz and about 10 THz, a radio-frequency amplifier configured to amplify the generated EM radiation, and an output channel to direct the amplified EM radiation towards the volume of gas.