Abstract: A low power adder uses a non-linear polar capacitor to retain charge with fewer transistors than traditional CMOS sequential circuits. The non-linear polar capacitor includes ferroelectric material, paraelectric material, or non-linear dielectric. The adder may include minority gates and/or majority gates. Input signals are received by respective terminals of capacitors having non-linear polar material. The other terminals of these capacitors are coupled to a node where the majority function takes place for the inputs.

Abstract: Methods, systems, and devices for wireless communication are described. A first wireless device may establish a communication session with a second wireless device using a neighbor awareness networking (NAN) radio access technology (RAT). The first wireless device may transmit a first indication that the first wireless device is capable of using a secured ranging protocol. The first wireless device may receive a second indication that the second wireless device is also capable of using the secured ranging protocol. The first wireless device may determine one or more setup parameters to use for a ranging procedure between the first wireless device and the second wireless device based on the first indication and the second indication. Accordingly, the first wireless device may obtain a measurement report after using the secured ranging protocol to perform the ranging procedure in accordance with the one or more setup parameters.

Abstract: Apparatus, methods, and computer program products for wireless communication are provided. An example method may include receiving, from a network entity, an LTM configuration. The example method may further include receiving, from the network entity, an LTM cell switch command associated with the LTM configuration. The example method may further include transmitting, to the network entity, a RLF report based on a failure of an LTM cell switch based on the LTM cell switch command or an RLF after the LTM cell switch based on the LTM cell switch command, the RLF report including information associated with the LTM configuration or the LTM cell switch command.

Abstract: Apparatus, methods, and computer program products for wireless communication are provided. An example method may include receiving, from a network entity, an LTM configuration. The example method may further include receiving, from the network entity, an LTM cell switch command associated with the LTM configuration. The example method may further include transmitting, to the network entity, a RLF report based on a failure of an LTM cell switch based on the LTM cell switch command or an RLF after the LTM cell switch based on the LTM cell switch command, the RLF report including information associated with the LTM configuration or the LTM cell switch command.

Abstract: An Integrated Circuit (IC) includes a storage element and control circuitry. The control circuitry is configured to select, responsively to a scan-enable control, between a functional-data input and a scan-data input to serve as an input to the storage element, to selectively disable toggling of an output of the storage element, responsively to a clock-enable control, by gating a clock signal provided to the storage element, and, while the clock-enable control indicates that the output of the storage element is to be disabled from toggling, to select the input of the storage element to be the scan-data input.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may measure quality of experience (QoE) metrics and transmit a QoE report that is formatted to be readable by a base station, such that a base station may receive the QoE report and independently perform adjustments associated with the service being utilized by the UE. A UE may receive a configuration message that includes a first configuration for reporting QoE measurements to a base station and a second configuration for reporting QoE measurements to a QoE server. The UE may measure one or more QoE metrics in accordance with the configuration message, and generate a first report for the base station based on the QoE measurements and the first configuration. Upon generating the report, the UE may transmit the first report to the base station in accordance with the first configuration.

Abstract: A low power adder uses a non-linear polar capacitor to retain charge with fewer transistors than traditional CMOS sequential circuits. The non-linear polar capacitor includes ferroelectric material, paraelectric material, or non-linear dielectric. The adder may include minority gates and/or majority gates. Input signals are received by respective terminals of capacitors having non-linear polar material. The other terminals of these capacitors are coupled to a node where the majority function takes place for the inputs.

Abstract: A method of fabricating a system includes fabricating a plurality of transistors and coupling a forming a bridge structure connected between a gate contact of a first transistor with a drain contact of a second transistor. The method further includes fabricating a multi-level memory structure including capacitors that comprise a ferroelectric material or a paraelectric material. The capacitors within a given level are coupled together by a plate electrode. The method further includes forming a signal electrode coupled with the plate electrode.

Abstract: A system for interface and/or device user identity verification comprises a user device with a user interface and a camera, a system controller in communication with the user device and a databank. The databank comprises a stored image for each user as well as input command types associated therewith and requiring real time image identification. When a real time user command is inputted via the user interface and corresponds to a stored input command type, the stored image associated therewith is identified and a real time image of the real time user is captured via the camera. The system determines whether the captured image corresponds to the identified stored image. The real time input command is allowed to be executed if the captured image corresponds to the identified stored image and is prevented from being executed if the captured image does not correspond to the identified stored image.

Abstract: A low power adder uses a non-linear polar capacitor to retain charge with fewer transistors than traditional CMOS sequential circuits. The non-linear polar capacitor includes ferroelectric material, paraelectric material, or non-linear dielectric. The adder may include minority gates and/or majority gates. Input signals are received by respective terminals of capacitors having non-linear polar material. The other terminals of these capacitors are coupled to a node where the majority function takes place for the inputs.

Abstract: Described is a packaging technology to improve performance of an AI processing system. An IC package is provided which comprises: a substrate; a first die on the substrate, and a second die stacked over the first die. The first die includes memory and the second die includes computational logic. The first die comprises DRAM having bit-cells. The memory of the first die may store input data and weight factors. The computational logic of the second die is coupled to the memory of the first die. In one example, the second die is an inference die that applies fixed weights for a trained model to an input data to generate an output. In one example, the second die is a training die that enables learning of the weights. Ultra high-bandwidth is changed by placing the first die below the second die. The two dies are wafer-to-wafer bonded or coupled via micro-bumps.

Abstract: Certain aspects of the present disclosure provide techniques for managing cross-node artificial intelligence (AI) and/or machine learning (ML) operations in a radio access network (RAN). An example method of wireless communication by a first network entity includes obtaining machine learning input data associated with a user equipment (UE); providing, to a second network entity, an indication of machine learning output data generated using the machine learning input data; and providing, to the second network entity, control signaling for a cross-node machine learning session between the UE and the first network entity based at least in part on one or more performance indicators associated with the cross-node machine learning session.

Abstract: Certain aspects of the present disclosure provide techniques for handling user equipment (UE) mobility for a cross-node artificial intelligence (AI) and/or machine learning (ML) session in a radio access network (RAN). A method of wireless communication by a first network entity includes obtaining, from a second network entity, an indication of a handover for a UE; obtaining, from a third network entity, an indication of first cross-node machine learning information associated with a cross-node machine learning session between the UE and the third network entity; providing, to the second network entity, an indication acknowledging the handover; and relaying communications between the UE and the third network entity for the cross-node machine learning session.

Abstract: Certain aspects of the present disclosure provide techniques for performing cross-node machine learning operations in a radio access network. An example method of wireless communication by a first network entity includes providing, to a second network entity, an indication of cross-node machine learning information used for a cross-node machine learning session between the first network entity and a user equipment (UE); obtaining machine learning information associated with the UE; and controlling the cross-node machine learning session based at least in part on the machine learning information.

Abstract: Methods, systems, and devices for wireless communications are described. A UE may be configured with a machine learning model by a core network to perform analytics, training, or inferences. The UE may indicate capability information to a core network entity, including a list of machine learning models supported at the UE. A centralized core network entity may manage different machine learning models and may send information for a machine learning model to the UE, such as through another core network entity. The UE or the core network may initiate the configuration. For example, the UE may request to be configured with a machine learning model. The core network may send control signaling that indicates a configuration for the machine learning model to the UE. The UE may perform analytics based on the machine learning model.

Abstract: In one embodiment, network node-to-node connectivity verification is performed in a network including data path processing of packets within a packet switching device. In one embodiment, an echo request connectivity test packet, emulating an echo request connectivity test packet received from a first connected network node, is inserted by the packet switching device prior in its data processing path prior to ingress processing performed for packets received from the first connected network node. A correspondingly received echo reply connectivity test packet is intercepted by the packet switching device during data path egress processing performed for packets to be forwarded to the first connected network node.

Abstract: A method of fabricating a device comprises forming a multi-layer stack above a first substrate, where multi-layer stack includes a non-linear polar material. In at least one embodiment, method further includes forming a first conductive layer on multi-layer stack and annealing multi-layer stack. A transistor is formed above a second substrate. In at least one embodiment, method also includes forming a second conductive layer above electrode structure and bonding first conductive layer with second conductive layer. After bonding, method includes removing at least a portion of first substrate patterning multi-layer stack to form a memory device.

Abstract: Described is a packaging technology to improve performance of an AI processing system. An IC package is provided which comprises: a substrate; a first die on the substrate, and a second die stacked over the first die. The first die includes memory and the second die includes computational logic. The first die comprises a ferroelectric RAM (FeRAM) having bit-cells. Each bit-cell comprises an access transistor and a capacitor including ferroelectric material. The access transistor is coupled to the ferroelectric material. The FeRAM can be FeDRAM or FeSRAM. The memory of the first die may store input data and weight factors. The computational logic of the second die is coupled to the memory of the first die. The second die is an inference die that applies fixed weights for a trained model to an input data to generate an output. In one example, the second die is a training die that enables learning of the weights.

Abstract: Certain aspects of the present disclosure provide techniques for techniques for machine learning (ML)-based user equipment (UE) mobility. A method generally includes transmitting a handover request associated with handing over a UE from a first cell associated with an apparatus to a second cell associated with a first target network node, the handover request comprising an identifier (ID) of the apparatus and predicted information associated with the UE, the predicted information generated by a ML model; and receiving an information update message comprising: feedback information comprising feedback on the predicted information, the feedback information associated with refining the ML model, and a first persistent ID assigned to the UE, wherein the first persistent ID remains invariant across different radio resource control (RRC) modes of the UE, wherein the different RRC modes comprise an idle mode, an inactive mode, and a connected mode.

Abstract: Methods, systems, and devices for wireless communications are described. Aspects of the disclosure relate to enhanced load reporting between network entities (e.g., provided by a distributed unit (DU) to a centralized unit (CU) or by a CU to another CU). In some examples, the CU may provide one or more triggering events which may be used by the DU (or a second CU) to trigger the provisioning of a load report to the CU. Accordingly, the DU (or second CU) may be able to initiate a load report without relying on periodic reporting criteria. In some examples, the DU may initiate a load report to the CU without being configured with triggering events. In some examples, a DU may report measurements made associated with a communications load involving communications with both a parent network entity (e.g., a CU) and at least one child network entity (e.g., a user equipment).