Abstract: The present subject matter describes performing radio resource management (RRM) measurements by a WTRU in a 3GPP networks. The method comprise defining at-least one of: a) a channel condition threshold, b) a WTRU mobility threshold, and c) a measurement-reliability threshold. A first sub-set of reference-signal samples are measured out of a set of reference-signal samples based on sensing at least one of current channel conditions and mobility-conditions. A reliability-parameter associated with the first sub-set of measured samples is checked.

Abstract: Systems and methods for allocating optimal supply chain resources based on order data are disclosed. In some embodiments, a disclosed method includes: receiving, from a computing device, an allocation request associated with an order; determining a customer node associated with the order, wherein the customer node is in a supply chain network; determining, based on the order and the customer node, a sub-network of the supply chain network; determining, based on cost information associated with the sub-network, at least one path from at least one source node to the customer node in the sub-network; generating supply chain allocation data for the order based on the at least one path; and transmitting the supply chain allocation data to the computing device.

Abstract: An information handling system includes a storage and a basic input/output system (BIOS). The BIOS load and boot the base root file system. The BIOS determine a requested capability for the information handling system. The BIOS download an external root file system for the requested capability. The BIOS overlay the external root file system on the base root file system. The BIOS determine a job associated with the requested capability is completed. Based on the job being completed, the BIOS delete the external root file system.

Abstract: Virtual memory pooling, including identifying GPUs of respective IHSs, wherein each of the GPUs is associated with a respective internal memory allocation; partitioning, for each GPU, the internal memory allocation associated with the GPU into a first memory allocation and a second memory allocation; allocating, for each GPU, the first memory allocation of the internal memory allocation associated with the GPU as accessible only by the associated GPU; pooling, for each GPU, the second memory allocation of the internal memory allocation associated with the GPU to define a virtual memory pool, the virtual memory pool accessible by each GPU; processing, at a first GPU, a computational task, including: accessing the first memory allocation associated with the first GPU; determining that processing of the computational task exceeds a capacity of the first memory allocation of the first GPU and in response, requesting access to the virtual memory pool.

Abstract: Aspects of the technology evaluate a client device query to identify an IP address-based estimated location of a mobile device. One or more candidate wireless stations are selected in accordance with the IP-based estimated location and a location-relevant response to the query is also generated in accordance with the IP-based location. This information is transmitted to the mobile device. The mobile device compares the received information about the candidate wireless stations against one or more actual wireless stations with which the mobile device is in communication. Log information is generated as a result of the comparison. The log information is anonymized and transmitted to the network without user ID or other client-identifiable information included in the log. The received log information is then used to validate the initial estimated location. Aggregation of log information from multiple devices may be used in the validation process.

Abstract: A control system for a machine includes one or more component controllers for one or more components of the machine. The control system also includes a supervisory controller, connected to the one or more component controllers, and having at least one supervisory processor configured to perform operations comprising receiving supervisory system inputs, including at least one of a machine component status input, a key switch input, a directional input, or an operator presence input, from an operator of the machine, requesting and receiving, from each of the one or more component controllers, a status of the one or more components, and, upon receiving an indication that a status of a component, of the one or more components, is faulted, disabling the faulted component, and disabling any other components, of the one or more components, that require the faulted component for operation.

Abstract: Systems, computer program products, and methods are described herein for a decentralized machine learning source code generation framework via a holochain network. The present invention is configured to receive a predetermined code criteria, receive a new code segment from an editor on an endpoint device, retrieve characteristics of the new code segment, determine, using a trained machine learning model, at least one subsequent code segment, based on at least the characteristics of the new code segment, determine, using an evaluation engine, at least one score of the subsequent code segment, wherein the at least one score is associated with the predetermined code criteria, and transmit to the editor of the endpoint device for displaying a predetermined number of the at least one subsequent code segments above a predetermined threshold of the at least one score.

Abstract: An AI accelerator apparatus using in-memory compute chiplet devices. The apparatus includes a first semiconductor substrate having a plurality of chiplets, each of which includes a plurality of tiles. Each tile includes a plurality of slices, a central processing unit (CPU), and a hardware dispatch device. Each slice can include a digital in-memory compute (DIMC) device configured to perform high throughput computations. In particular, the DIMC device can be configured to accelerate the computations of attention functions for transformer-based models (a.k.a. transformers) applied to machine learning applications. The chiplets are in a full mesh connectivity configuration such that at least one of the die-to-die (D2D) interconnects of each chiplet is coupled to one of the D2D interconnects of each other chiplet using a non-diagonal link. The chiplets can also include other interfaces to facilitate communication between the chiplets, memory and a server or host system.

Abstract: Systems and methods are provided for pre-caching content to customer premises equipment (CPE) such as set-top boxes, fixed wireless access devices, etc. Video streaming services are increasingly popular and can put a strain on network resources during peak hours. Wireless network peak hour capacity demand can be reduced by utilizing off-peak hour content/video caching. A cache time during off-peak hours can be determined through the interaction of wireless network and content provider servers.

Abstract: Various implementations are directed towards generating, based on processing language model (LM) input using a first LM, an initial response that is predicted to be responsive to natural language (NL) based input, where the LM input includes at least the NL based input. Additionally or alternatively, the system can determine whether to generate an additional response based on processing the LM input using a second LM, where determining whether to generate the additional response includes processing at least the LM input and initial response using at least one verifier to generate a verification score. In many implementations, the verification score can be processed using a meta-verifier to determine whether to render output based on the initial response or the additional response.

Abstract: A method of monitoring a fluid level in a power unit relies on a neural network model. The model is used to predict lateral acceleration during air ingestion events. These predictions are compared to measured values of lateral acceleration. When the measured values and the predicted values are not well correlated, a controller takes corrective action.

Abstract: Certain aspects of the present disclosure provide techniques for performing machine learning computations in a compute in memory (CIM) array comprising a plurality of bit cells, including: determining that a sparsity of input data to a machine learning model exceeds an input data sparsity threshold; disabling one or more bit cells in the CIM array based on the sparsity of the input data prior to processing the input data; processing the input data with bit cells not disabled in the CIM array to generate an output value; applying a compensation to the output value based on the sparsity to generate a compensated output value; and outputting the compensated output value.

Abstract: Methods and systems for operating a voltage regulator are described. A integrated circuit can be configured to adjust at least one of a deadtime parameter and a drive strength parameter of a power stage based on at least one of an input voltage being provided to a power stage, a switch node voltage of the power stage, and an output current of the power stage. A controller of the power stage can be further configured to adjust a deadtime of the power stage based on adjustment of the deadtime parameter. The controller can be further configured to adjust a drive strength of the first driver and the second driver based on adjustment of the drive strength parameter.

Abstract: Apparatuses, methods, and systems are disclosed for configuring a sensing reference signal. One method includes receiving, at a first device, configuration information from a second device. The configuration includes: a set of sensing reference signal sequence generation parameters; a set of sensing reference signal resource pattern parameters, wherein a pattern corresponding to the set of sensing reference signal resource pattern parameters includes time domain locations of symbols within a sensing reference signal, frequency domain locations of resource elements within the sensing reference signal, or a combination thereof; and information indicating to map a generated sequence based on the pattern on at least one antenna to create a sensing reference signal pattern. The method includes generating a sensing reference signal. The method includes transmitting and/or receiving the sensing reference signal according to the configuration information.

Abstract: The present disclosure relates to a user equipment, a base station and respective methods. The user equipment (UE) receives a single uplink grant for a plurality of PUSCH transmissions. The single uplink grant comprises an antenna port field with an index value that is to be used for the plurality of PUSCH transmissions. The UE determines time-domain resources based on the received uplink grant. The determined time-domain resources prescribe a number of PUSCH transmissions and a length of each of the number of PUSCH transmissions. The UE transmits the number of PUSCH transmissions using the determined time-domain resources. Each of the number of PUSCH transmissions comprises at least one front-loaded demodulation reference signal, DMRS.

Abstract: A user equipment, a base station and respective methods are provided. The user equipment receives a physical uplink shared channel (PUSCH) config information element (IE) in form of radio resource control (RRC) signaling, the PUSCH config IE being applicable to a particular bandwidth part. The user equipment configures a table which is defined by a PUSCH time domain resource allocation list IE carried in the received PUSCH config IE, the table comprising rows, at least one row comprising a first set of values related to allocated time-domain resources for a plurality of PUSCH transmissions. The user equipment receives downlink control information (DCI) signaling carrying a time-domain resource assignment filed with value m, wherein the value m provides a row index m+1 to the RRC configured table. The user equipment determines allocated time-domain resources for the plurality of PUSCH transmissions based on the index of the slot carrying the received DCI.

Abstract: An alignment fixture for a reactor system may comprise a fixture body comprising an inner perimeter at least partially defining a shape which comprises an inner space of the fixture body, wherein the inner space is configured to receive a susceptor of a reactor system; and/or a measuring protrusion coupled to the fixture body at a first position and protruding from the fixture body toward the inner space. The measuring protrusion may comprise an indicator between the fixture body and a measuring protrusion end of the measuring protrusion.

Abstract: Apparatuses, methods, and systems are disclosed for semi-static channel access with directional FFP. One method (800) includes receiving (805) a configuration for a plurality of FFPs, where each FFP is associated with a separate transmit beam for transmission within that FFP. The method (800) includes identifying (810) an initiated FFP and performing (815) communication activity during the initiated FFP using a beam corresponding to the initiated FFP, where the communication activity includes a transmission, a reception, or a combination thereof.

Abstract: Systems and methods for discovering caller paths in a micro-service graph are disclosed. The system can receive a first request to interact with a first node, wherein the first node is associated with a software application. The system can generate a first bit encoding indicative of the first node. The system can transmit, from the first node, a second request to a second node associated with the software application, wherein the second request is associated with the first request. The system can generate, based on the first bit encoding, a second bit encoding indicative of the first node and the second node. The system can determine, based on the second bit encoding, a sequence of requests.

Abstract: Systems and methods related to rotor embedded impellers for axial flux machine cooling are disclosed herein. An axial flux electric machine may include a stator, a rotor spaced apart from the stator in an axial direction of the axial flux electric machine to form an air gap, and at least one impeller on the rotor, where the at least one impeller includes a rotor gap through the rotor and an airfoil element. Specific embodiments of the present application can efficiently cool an axial flux electric machine to allow for higher torque and power generation for the same base axial flux electric motor design (e.g., the same cost and volume). These embodiments provide a simple and effective method to extract heat from an axial flux electric machine by creating pressure drops and fluid flow patterns within the motor cavity.