Abstract: Apparatuses, systems, and techniques to route data transfers between hardware devices. In at least one embodiment, a path over which to transfer data from a first hardware component of a computer system to a second hardware component of a computer system is determined based, at least in part, on one or more characteristics of different paths usable to transfer the data.

Abstract: Embodiments include a computing device that executes software routines and/or one or more machine-learning architectures including a neural network-based embedding extraction system that to produce an embedding vector representing a user's behavior's keypresses, where the system extracts the behaviorprint embedding vector using the keypress features that the system references later for authenticating users. Embodiments may extract and evaluate keypress features, such as keypress sequences, keypress pressure or volume, and temporal keypress features, such as the duration of keypresses and the interval between keypresses, among others. Some embodiments employ a deep neural network architecture that generates a behaviorprint embedding vector representation of the keypress duration and interval features that is used for enrollment and at inference time to authenticate users.

Abstract: An application disposition definition agent (ADDA) system intercepts runtime data generated by resources of a first platform when an application is executing in the first platform. The ADDA system discovers components of the application based on the intercepted runtime data. The ADDA system generates an application architecture that includes the discovered components of the application. The ADDA system identifies transactional behaviors of the components based on the intercepted runtime data. The ADDA system determines scalability and performance parameters of each discovered component based on the intercepted runtime data. The ADDA system generates an application architecture that includes the discovered components of the application, the transactional behaviors of the components, and the scalability and performance parameters of the components. The generated application architecture can be used to deploy the application in a second platform.

Abstract: A system, having a memory that stores computer executable components, and a processor that executes the computer executable components, reduces data size in connection with training a neural network by exploiting spatial locality to weight matrices and effecting frequency transformation and compression. A receiving component receives neural network data in the form of a compressed frequency-domain weight matrix. A segmentation component segments the initial weight matrix into original sub-components, wherein respective original sub-components have spatial weights. A sampling component applies a generalized weight distribution to the respective original sub-components to generate respective normalized sub-components. A transform component applies a transform to the respective normalized sub-components.

Abstract: Techniques described herein relate to a method for performing capacity planning services. The method includes obtaining a current CP state from a client; in response to obtaining the current state: selecting an action based on the current CP state; providing the action to the client, wherein the client performs the action; in response to providing the action: obtaining a new CP state and a headcount associated with the action; calculating a reward based on the headcount and a reward formula; storing the current CP state, the action, the new CP state, and the reward as a learning set in storage comprising a plurality of learning sets; and performing a learning update using a portion of the plurality of learning sets to generate an updated actor, an updated critic, an updated target actor, and an updated target critic.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Embodiments herein provide a method for continuity of modem service by a user equipment (UE). The method includes detecting modem restart at the UE (100). The method includes determining whether a wireless network (400) and the UE (100) supports a session and mobility management feature upon detecting the restart of the modem (150), and identifying SM-MM contexts used by the UE (100) for accessing the modem service upon determining that the wireless network entity (200) supports the session and the mobility management feature. The method includes transmitting a first signaling message comprising at least one of the SM context and the MM context to the wireless network entity (200) for the continuity of the modem service.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by a user equipment (UE) in a communication system is provided. The method includes receiving disaster configuration information being encrypted; decrypting the disaster configuration information to verify an integrity of the disaster configuration information before acting upon or storing the disaster configuration information; and identifying whether a disaster roaming is available based on the disaster configuration information.

Abstract: A method for validating a trained artificial intelligence (AI) model on a device is provided. The method includes deploying a validation model generated by applying a plurality of anticipated configurational changes associated with the trained AI model requiring validation. Further, the method includes providing input data to each of the validation model and the trained AI model for receiving an output from each of the validation model and the trained AI model, wherein the output of the validation model is further based on one or more actual configurational deviations that occurred during training of the trained AI model since deployment of the trained AI model on the device. Furthermore, the method includes combining the output of each of the validation model and the trained AI model to validate the trained AI model.

Abstract: Provided are a floating-point unit, a system, and method for fused multiply-add logic to process input operands including floating-point values and integer values. A first input operand comprising an integer value and second and third input operands comprising floating-point values are received. The first, second, and third input operands are processed to produce a floating-point result.

Abstract: Provided are a floating-point unit, a system, and method for generating binary integer output or floating-point output based on a selector. A first input operand, a second input operand, a third input operand, and a result format selector value are received. The first input operand, the second input operand, and the third input operand comprise floating-point values. The first input operand, the second input operand, and the third input operand are processed to produce a final result comprising one of a binary integer value and a floating point value based on the result format selector value.

Abstract: Apparatuses, systems, and techniques to route data transfers between hardware devices. In at least one embodiment, a path over which to transfer data from a first hardware component of a computer system to a second hardware component of a computer system is determined based, at least in part, on one or more characteristics of different paths usable to transfer the data.

Abstract: Embodiments herein achieve a method for handling registration and session management in a wireless communication system. The method includes registering, by a User Equipment (UE), with a first core network entity over a 3GPP access network and a non-3GPP access network. Further, the method includes triggering, by the UE, a registration procedure to a second core network over the 3GPP access network when a periodic timer of the UE expires in an OOS state. Further, the method includes receiving, by the UE, a non-access stratum (NAS) message, over the 3GPP access network, with an indication to register for the non-3GPP access network with the second core network entity. Further, the method includes reinitiating the registration procedure to register again for the non-3GPP access with the second core network entity through the non-3GPP access network.

Abstract: Disclosed herein is a particle comprising a magnetic material and a carbon layer on the outer surface of the magnetic material. The carbon layer may comprise graphite, such as Graphite from the University of Idaho Thermolyzed Asphalt Reaction (GUITAR). The particle may further comprise a single stranded nucleic acid moiety, such as single stranded DNA or single stranded RNA, conjugated to the carbon layer. The disclosed particles are useful as nucleic acid sensors, PCR reagents, and in nucleic acid synthesis applications.

Abstract: The disclosure relates to a method and system for adaptive antenna configuration in a user equipment comprising one or more antenna modules, each of the one or more antenna modules comprising a plurality of patch elements. The method comprises: determining whether a signal strength of the UE is above a signal threshold, determining whether a mobility of the UE is below a mobility threshold based on determining that the signal strength is above the signal threshold, determining at least one active antenna module based on determining that the mobility of the UE is below the mobility threshold, and deactivating at least one patch element in the at least one antenna module.

Abstract: The present disclosure relates to a pre-5th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4th-Generation (4G) communication system such as Long Term Evolution (LTE). A method for handling communication in a wireless network by a user equipment (UE) is provided. The method includes receiving a non-access stratum (NAS) message indicating that the UE is not permitted to access a first public land mobile network (PLMN) over a satellite communication along with geographical indication or a timer indication from the first PLMN. Further, the method includes determining a geographical area based on the received geographical indication or a timer value based on the timer indication. Further, the method includes starting a timer with the timer value. Further, the method includes determining that the UE is not allowed to access the first PLMN in the determined geographical area or the expiry of the timer.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method for optimizing power in a user equipment (UE) is provided. The method includes receiving, from a network, one or more relaxed measurement parameters, determining one of a mobility state or a location of the UE with respect to an edge of a serving cell of a visited public land mobile network (VPLMN) of the network based on one or more relaxed measurement parameters, and deferring a background PLMN (BPLMN) search upon determining one of the UE being in a low mobility state or not being at the edge of the serving cell, and/or deferring a near cell measurement search during a measurement gap of a connected mode discontinuous reception (CDRX) sleep duration of a CDRX state to optimize the power consumption in the UE upon determining one of the UE being in the low mobility state or not being located at the edge of the serving cell.

Abstract: Various embodiments herein disclose a method camping a User Equipment (UE) on a cell, the method comprising: creating a combined Most Recently Used (MRU) list by merging a list 4G MRU frequencies with a Public Land Mobile Network (PLMN) having a 5GC and a list of 5G MRU frequencies, determining whether one of a 4G cell with 5G core (5GC) and a 5G cell is available for camping by performing a MRU scan on the combined MRU list; performing one of: camping on one of the 4G cell with 5G core and the 5G cell in response to determining that one of the 5G cell and the 4G cell with 5G core is available and performing a 4G MRU frequency scan on a list of 4G without 5GC MRU frequencies in response to determining that one of the 4G cell with 5G core and the 5G cell is not available.

Abstract: A method for access control of a UE (120) connecting through a Mobile base station relay (MBSR)-UE (122) in a wireless network (1000) by an IAB-Donor gNB (108). The method includes connecting the UE (120) to the IAB-Donor gNB (108) through a first MBSR-UE (122) to receive an emergency service in the wireless network. Further, the method includes determining that the first MBSR-UE (122a) is about to become unavailable to provide the emergency service to the UE (120) in the wireless network. Further, the method includes transmitting a handover request message to the UE (120) to perform an handover procedure to move the UE (120) to a NG-RAN node (104) before the first MBSR-UE (122a) becomes unavailable in the wireless network upon determining that the first MBSR-UE (122a) is about to become unavailable.

Abstract: Indices of non-zero weights may be stored in an index register file included within each of a plurality of processor elements in a systolic array. Non-zero weights may be stored in a register file associated with the index register file. Input values (e.g., dense input values) corresponding to a single block in a data structure may be sent to the plurality of processor elements. Those of the input values corresponding to the indices of non-zero weights in the index register file may be selected for performing multiply-accumulate (“MAC”) operation based on sending the plurality of input values to one or more of the plurality of processor elements. The indices of the plurality of non-zero weight are stored in an index data stick. The values of the plurality of non-zero weights are stored in a value data stick.

Abstract: A hardware framework for cyber-deception operations provides flexibility in formulating counterattacks and leverages hardware support for efficiency. Hardware-assisted deception primitives are provided at kernel crossing boundaries to privileged system features that propel the security defenses to dynamically manipulate the malware execution and present a deceptive view of the system state to the attackers. Malware may be in the form of various attack vectors including ransomware, infostealers, buffer overflow, and side-channels.