Abstract: An active thermal interposer (ATI) device for use in testing integrated circuit device under test (DUT) having thermal isolation structures. The ATI device includes a formation having a first surface and a second surface, wherein the first surface is operable to be disposed adjacent to a cold plate, and a plurality of heating zones defined across a second surface of the formation, the plurality of heating zones operable to be controlled by a thermal controller to selectively heat and maintain respective temperatures thereof, the plurality of heating zones operable to heat a plurality of areas of the DUT when the second surface of the formation is disposed adjacent to an interface surface of the DUT during testing of the DUT. The ATI device includes a plurality of thermal resistance structures configured to resist thermal conductance between the plurality of heating zones.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: Active thermal interposer (ATI) device for use in testing a device under test (DUT). The ATI device includes a body layer having a first surface and a second surface, wherein the first surface is operable to be disposed adjacent to a cold plate and wherein the second surface is operable to be disposed in proximity to the DUT. The body layer further includes a heating layer defining a plurality of heating zones across the second surface. The plurality of heating zones are operable to be controlled during the testing to selectively heat and maintain respective temperatures thereof. The heating layer further includes a plurality of heating structures operable to selectively heat and maintain temperatures of the plurality of heating zones, and a plurality of thermal resistance structures operable to resist thermal conductance between the plurality of heating zones.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: A stand-alone active thermal interposer device for use in testing an unpackaged integrated circuit device under test (DUT), the active thermal interposer device includes a body layer having a first surface and a second surface, wherein the first surface is operable to be disposed adjacent to a cold plate, and a plurality of heating zones defined across a second surface of the body layer, the plurality of heating zones operable to be controlled by a thermal controller to selectively heat and maintain respective temperatures thereof, the plurality of heating zones operable to heat a plurality of areas of the DUT when the second surface of the body layer is disposed adjacent to an interface surface of the DUT during testing of the DUT.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: A stand-alone active thermal interposer device for use in testing an unpackaged integrated circuit device under test (DUT), the active thermal interposer device includes a body layer having a first surface and a second surface, wherein the first surface is operable to be disposed adjacent to a cold plate, and a plurality of heating zones defined across a second surface of the body layer, the plurality of heating zones operable to be controlled by a thermal controller to selectively heat and maintain respective temperatures thereof, the plurality of heating zones operable to heat a plurality of areas of the DUT when the second surface of the body layer is disposed adjacent to an interface surface of the DUT during testing of the DUT.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: An active thermal interposer (ATI) device for use in testing integrated circuit device under test (DUT) having thermal isolation structures. The ATI device includes a formation having a first surface and a second surface, wherein the first surface is operable to be disposed adjacent to a cold plate, and a plurality of heating zones defined across a second surface of the formation, the plurality of heating zones operable to be controlled by a thermal controller to selectively heat and maintain respective temperatures thereof, the plurality of heating zones operable to heat a plurality of areas of the DUT when the second surface of the formation is disposed adjacent to an interface surface of the DUT during testing of the DUT. The ATI device includes a plurality of thermal resistance structures configured to resist thermal conductance between the plurality of heating zones.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.

Abstract: A modular, radio frequency (“RF”) system includes one or more directional antennas and is configured with both hardware and software components to enable the RF system to monitor (e.g., detect or track signals or objects) and/or interact with (e.g., track signals or objects, or transmit signals) objects in particular directions. The RF system includes one or more machine learning models to determine, based on received signals, one or more signals to transmit.