Abstract: An embodiment includes responsive to receiving, by a server, an authorization request from a user of a user device, for unlocking a meta-lock, authenticating, by the server, the user for authorization to unlock the meta-lock. The embodiment includes where the authorization request includes a key configuration of a pre-existing key. The embodiment includes generating, by the server, a key configuration. The embodiment includes generating, by the server, a pinning configuration based on the key configuration. The embodiment includes adopting, by the meta-lock, the generated pinning configuration.

Abstract: An embodiment receives a first input topic by a question generating agent. The embodiment generates using the question generating agent a first set of questions based on the first input topic. The embodiment generates using a question-answering agent a first answer to a first question of the first set of question. The embodiment executes a first program instruction to transmit feedback data to the question-answering agent, the feedback data produced by analyzing content of the first answer. The embodiment modifies a portion of the first answer based on the feedback data producing a revised first answer. The embodiment updates a SME database corresponding to the first input topic by incorporating additional data from the revised first answer into the SME database.

Abstract: An embodiment includes constructing a Homomorphic Encryption system comprising a set of processing cells configured in a butterfly network. The embodiment includes generating, by executing a specially purposed configuration instruction within a configuration component of the Homomorphic Encryption system, a switch rule for each processing cell of the set of processing cells. The embodiment also includes executing the switch rule by a processing component of the Homomorphic Encryption system on the set of processing cells where the Homomorphic Encryption system computes an automorphism operation by traversing the butterfly network according to a number of input elements of the automorphism operation.

Abstract: Embodiments of the present invention disclose an approach for managing a plurality of heterogeneous automation scripts with dynamic environment preparation. Specifically, the approach involves allowing users to upload a script to a centralized script manager. The uploaded script is then analyzed to determine the necessary runtime environment and library resources required for successful execution. After resolving the dependencies of the script, an optimal machine on a centralized server is selected for automation. The chosen machine is equipped with the required runtime environment and library resources, which are automatically installed.

Abstract: A target wire is separated into one set of segments based on effective spaces of crossing wires at one target-wire side, and another set of segments based on effective spaces of crossing wires at another target-wire side. Effective widths of crossing wires at the one and other target-wire sides are accumulated. One effective length factor for crossing wires at the one target-wire side is determined, and another effective length factor for crossing wires at the other target-wire side is determined. One or more capacitance values are ascertained for the one and other target-wire sides with reference to a data structure of capacitance per-unit-length for identified configurations. A total capacitance is determined using the effective length factors, and the ascertained capacitance values. An impact of the determined total capacitance on circuit performance is assessed, and based on the assessing, the wiring pattern of the integrated circuit is modified.

Abstract: An instruction to perform a recurrent neural network cell activation is executed. The executing includes performing a plurality of operations of the recurrent neural network cell activation to provide a result of the recurrent neural network cell activation. The plurality of operations is performed in a single invocation of the instruction. The recurrent neural network cell activation is, for instance, a long short-term memory cell activation or a gated recurrent unit cell activation.

Abstract: Data augmentation is described to train an artificial intelligence model that includes analyzing a first data set to measure an amount of data in the data set and the variation in the amount of data in the first data set to determine deficiencies for training an artificial intelligence model. Augmenting data is added for the first data set having an amount of data measured that fails to meet a threshold value. Deficiencies in the variation in the amount of data in the first data set are augmented using augmentation methods outside the variation scope of the first data set to provide a second data set of augmented data. An artificial intelligence model is trained with a combined data set of the first data set, and the second data set of augmented data when the first and second data set have an amount of data meeting the threshold value.

Abstract: A computer-implemented method for training a neural transducer for speech recognition is provided. The method includes initializing the neural transducer having a prediction network and an encoder network and a joint network. The method further includes expanding the prediction network by changing the prediction network to a plurality of prediction-net branches. Each of the prediction-net branches is a prediction network for a respective specific sub-task from among a plurality of specific sub-tasks. The method also includes training, by a hardware processor, an entirety of the neural transducer by using training data sets for all of the plurality of specific sub-tasks. The method additionally includes obtaining a trained neural transducer by fusing the plurality of prediction-net branches.

Abstract: A method for verifying Multi-Cycle Interconnect Synthesis (MCIS) optimization in an automatically generated physical hierarchy chip design, the method includes introducing a logical hierarchy to a Hierarchy Manipulation Tool (HMT) to automatically generate a physical chip design, wherein the physical chip design includes a logical hierarchy an a physical hierarchy, optimizing the physical chip design to develop an optimized physical chip design, processing the optimized physical chip design to account for forward annotation and to generate a modified physical chip design, processing the logical hierarchy to account for backward annotation and to generate a modified logical hierarchy and verifying that the modified logical hierarchy and the modified physical chip design are consistent with each other.

Abstract: Embodiments herein describe systems and techniques enabling effective use of tokenization for analysis and processing of text in natural language processing tasks. A disclosed system includes a text classifier model to perform predictions based on tokenized data and training data. In an embodiment, the text classifier model is used to generate a score for sentence tokens to be identified as a positive match to a query. In response to the text classifier model reaching a threshold score of prediction for a sentence, the sentence is tagged as a target sentence. A pre-defined window search of neighbor tokens is performed to determine a region of iterative similarity scores computed based on text from the knowledge base and a span of text from a document that includes the sentence, and an effective text span for a predicted data point is obtained based on the region of iterative similarity scores.

Abstract: Updating of call home data limits and priorities includes receiving problem analysis data associated with a defect of a computing system, and determining a bandwidth value associated with the computing system. A size limit for a debug data file for storing the problem analysis data is determined based on the bandwidth value. The size limit for the debug data file is adjusted based on a severity of a reference code associated with the defect of the computing system.

Abstract: Provided are a computer program product, system, and method for verifying compliance of a workload executing in a trusted execution environment. A control program for a trusted execution environment has a plurality of control elements provided by users. A control element of the control elements includes a command to execute to verify compliance of an element in a workload in the trusted execution environment with a requirement. A trigger event, associated with a triggered control element of the control elements, is detected during execution of the workload in the trusted execution environment. The command for the triggered control element is executed to verify compliance of an element in the workload. The triggered control element is executed multiple times during execution of the workload to verify compliance of the element in the workload in response to multiple instances of detecting the trigger event.

Abstract: Aspects of the invention include techniques for providing a large language model with elastic resources. A non-limiting example method includes training a large language model within a parallelized training environment that includes a set of training resources. The large language model is split into a plurality of pieces and each training resource trains over one piece. Baseline metrics are collected for the parallelized training environment. The method includes determining whether a current number of available training resources is an integer multiple of a minimum threshold of training resources and initializing one or more try-runs to evaluate vertical scaling and/or horizontal scaling responsive to the determination. A try-run having a highest improvement metric is identified and, responsive to the highest improvement metric being greater than a predetermined threshold, a training pattern is updated using one or both of a vertical scaling and a horizontal scaling of the set of training resources.

Abstract: Provided are a computer program product, system, and method for an authenticator to communicate with a client computer to authenticate access to a server. Authentication parameters are received to authenticate the client computer with the server, wherein the authentication parameters are for a domain name record for the server. The authentication parameters from the client computer are used to authenticate the client computer to access the server. A plurality of network addresses are received and used to identify the client computer in the network. In response to authenticating the client computer, the plurality of network addresses used to identify the client computer are forwarded to an access list for the server to allow the client computer to access the server. A message is sent to the client computer indicating access to the server allowed.

Abstract: Embodiments of the present disclosure are directed to a side-gated fin field effect transistor configured as a scanning single electron transistor. In a non-limiting embodiment, a scanning single electron transistor includes a fin formed over a substrate. A source gate is formed over a first portion of the substrate that extends over a sidewall of the fin. A drain gate is formed over a second portion of the substrate that extends over the sidewall of the fin. A plunger gate is formed over a third portion of the substrate that extends over the sidewall of the fin. The plunger gate is positioned between the source gate and the drain gate. The plunger gate is etched back from a topmost surface of the fin such that a quantum dot formed in the fin is not screened by metallic materials in the plunger gate.

Abstract: A package structure comprises a first interposer, a second interposer, and a quantum chip. The first interposer comprises a first alignment feature. The second interposer comprises a second alignment feature. The quantum chip is bonded to the first interposer with an extended portion of the quantum chip extending past a first edge of the first interposer. The first interposer and the second interposer are disposed with the first alignment feature engaging with the second alignment feature to cause alignment and coupling of one or more components on the extended portion of the quantum chip with one or more components on the second interposer.

Abstract: A semiconductor structure is provided that includes a lateral passive diode co-integrated with nanosheet stacked FET technology. Notably, the semiconductor structure includes a passive/diode device region including a lateral passive diode that is located between two nanosheet stacks. In embodiments, a logic device region including a stacked nanosheet transistor is located adjacent to the passive/diode device region.

Abstract: Disclosed embodiments provide methods, systems, and computer program products for process monitoring of interconnect wiring configurations and determining interconnect wiring characteristics including resistor-capacitator (RC) delay and capacitance parasitics of a given interconnect wiring configuration of a chip design. A disclosed interconnect monitor structure includes multiple stages, where each stage includes a source latch to receive scan test pattern input, a buffered wire segment including defined interconnect wire and threshold voltage configurations, and a capture latch capturing output test scan patterns. Disclosed test pattern generation implementations enable efficient and effective wiring interconnect process monitoring and identifying interconnect wiring characteristics and performance for an interconnect wiring configuration of a given IC design.

Abstract: A processor set has an associated cache memory. A prefetch unit of the processor set generates a prefetch request. The prefetch unit determines whether the prefetch request is likely to miss in the cache memory. The prefetch unit issues the prefetch request based on determining that the prefetch request is likely to miss in the cache memory and otherwise discards the prefetch request. The prefetch request can be a data prefetch request or an instruction prefetch request.

Abstract: A method, system, and computer program product configured to perform operations including: monitoring a data index to determine changes to data stored within the data index; collecting data features by extracting characteristics from raw data related to the monitored data index; training a lifecycle phase classification model to assign a first lifecycle phase classification to at least one data point of the data index; training a cluster model to cluster data points within a threshold distance of other data points; and moving at least one data point based on a lifecycle phase classification model output and a cluster model output.

Abstract: Provided are a computer program product, system, and method for detection of a homoglyph attack in code reviewed in an augmented reality display. A determination is made whether a line of code of source code includes a non-coding script character in a non-coding script that is a homoglyph of a coding script character in a coding script as indicated in a homoglyph pair. Valid statements in a computer language in which the source code is written are formed from characters in the coding script and not from characters in the non-coding script. In response to determining that the line of code includes the non-coding script character in the homoglyph pair, transmitting information on the homoglyph pair to cause the augmented reality display to render information on indication of the homoglyph.

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 neuromorphic chip includes synaptic cells including respective resistive devices, axon lines, dendrite lines and switches. The synaptic cells are connected to the axon lines and dendrite lines to form a crossbar array. The axon lines are configured to receive input data and to supply the input data to the synaptic cells. The dendrite lines are configured to receive output data and to supply the output data via one or more respective output lines. A given one of the switches is configured to connect an input terminal to one or more input lines and to changeably connect its one or more output terminals to a given one or more axon lines.

Abstract: A NOR decoder for large decode structures includes a first NOR decode circuit connected by a first node to an evaluation circuit. The first NOR decode circuit is configured to receive a first set of three or more inputs. The evaluation circuit is connected to a second node. The NOR decoder also includes a second NOR decode circuit connected by a third node to the evaluation circuit. The second NOR decode circuit is configured to receive a second set of three or more inputs. The evaluation circuit is configured to change a state of the second node in response to an active clock signal and all inputs in the first set and the second set having the same logical value.

Abstract: Legitimizing trust in peer networks using artificial intelligence, including: calculating, by an overseer, a trustworthiness score of an untrusted node of a peer network comprising a plurality of nodes, wherein the trustworthiness score is based on activity of the untrusted node in the peer network; and restricting participation in the peer network by the untrusted node based on the untrusted node being flagged as untrusted.

Abstract: Identification and resolution of anomalies over a network include obtaining at least a set of media characteristics associated with media data transmitted from a first entity to a second entity over the network and contextual information associated with at least one of the first entity or the second entity. A first operational score associated with the first entity is determined based on the obtained set of media characteristics and the obtained contextual information. The first operational score is indicative of operating conditions associated with the first entity for the transmission of the media data over the network. Based on a comparison of the first operational score with a threshold, a set of anomalies associated with the first entity is identified. A set of operations to resolve the set of anomalies is determined. The first entity is controlled to execute the determined set of operations on the media data.

Abstract: An example system includes a processor to receive a preprocessed query from a client device for a fully homomorphic encryption (FHE) encrypted database. The processor can execute the preprocessed query on the FHE encrypted database to generate a response. The processor can transmit a partially-processed response to the client device, which can post-process the query computation.

Abstract: A technique of configuring a disaggregated data center including a plurality of compute nodes communicatively coupled by a communication network to a plurality of distributed memory nodes includes receiving, via the communication network, at least one of a plurality of homomorphically-encrypted (HE) logs of memory accesses from the plurality of distributed memory nodes. Based on the HE logs, a function set S? is computed over each of the HE logs to obtain a result set R?. A portion of result set R? is distributed to each of the distributed memory nodes via the communication network, and a corresponding portion of plaintext result set R is requested from each of the distributed memory nodes. Based on receiving plaintext result set R, an assignment of resources of the distributed memory nodes to the compute nodes is determined, and the disaggregated data center is configured based on the assignment.

Abstract: A solar updraft tower having elements for direct air capture of carbon dioxide. The solar updraft tower includes a chimney; a solar collector feeding into the chimney, and a contactor to an opening of the solar collector having a plurality of fins coated with a layer of sorbent material. The sorbent material absorbs carbon dioxide (CO2) and water (H2O).

Abstract: A semiconductor device is provided. The semiconductor device includes a stacked field effect transistor (FET) formed on a substrate and connected to a backside metal line of a backside power distribution network (BSPDN). The semiconductor device also includes a lateral junction diode co-integrated with the stacked nanosheet FET.

Abstract: A semiconductor device includes an active region layer having source/drain regions laterally disposed relative to one another in a row and having a zone bounded between adjacent source/drain regions. An embedded jumper is electrically connected to two adjacent source/drain regions within the zone.

Abstract: A semiconductor structure includes a first gate-all-around field effect transistor, which in turn includes an upper nanosheet and a first gate structure. The first gate structure is laterally confined by first gate spacers and surrounds the upper nanosheet. The first gate structure includes a first gate dielectric on the upper nanosheet and a u-shaped first high-k material on a lower portion of the first gate spacers and on the first gate dielectric.

Abstract: A semiconductor IC device includes a super via. The super via includes a lower skip via and an upper skip via. A connecting wire may be directly between or may separate the lower skip via and the upper skip via. The upper skip via may be adequately electrically isolated from a surrounding wire by an upper liner. The lower skip via may be adequately electrically isolated from a surrounding wire by a lower liner. The super via along with the connecting wire may connect a wire in the lowest wiring level with a wire in the highest wiring level. Because of the lower liner and/or the upper liner, the super via may be utilized for wiring and routing through a backside level of the semiconductor IC device (e.g., potential or signal routing) and be utilized as a heat transfer conduit through the backside of the semiconductor IC device.

Abstract: A dataset is determined to include skewed data and based on determining that the dataset includes skewed data, one or more sparse indexes for the skewed data of the dataset are built. A sparse index of the one or more sparse indexes is for a range of data of the skewed data, and the building the sparse index includes indicating one pointer for a selected record of the range of data and indicating another pointer for another selected record of the range of data. The sparse index is provided to be used in a query of the dataset.

Abstract: Computer-implemented methods for adaptively training a machine learning model for estimating energy consumption in a cloud computing system are provided. Aspects include detecting an update event in the cloud computing system and collecting energy consumption data for the cloud computing system for a time period after the occurrence of the update event. Aspects also include retraining a power consumption model based at least in part on the data collected during the time period and storing the power consumption model in the cloud computing system.

Abstract: A controller maps a plurality of client-side traffic ports to a plurality of line-side optical ports of a wavelength division multiplexing system, that are operatively coupled to at least one optical long haul link. The controller determines idle traffic overhead associated with at least one mapped client-side traffic port of the plurality of client-side traffic ports. The controller determines that there is underutilized bandwidth capacity in at least a first line-side optical port in the plurality of mapped line-side ports that would reduce a need for use of at least a second line-side optical port. The controller logically remaps at least one client-side traffic port from the second line-side port to the underutilized first line-side optical port in response to determining that there is underutilized bandwidth capacity of the first line-side optical port.

Abstract: A semiconductor substrate can be loaded into a plasma chamber, the semiconductor substrate having a through opening within a mask layer disposed over the semiconductor substrate. Using a plasma process, a through substrate via can be formed within the semiconductor substrate. The through substrate via can have a circular shape or an annulus shape with an inner semiconductor core. The plasma process can include exposing the through opening to a plasma chemistry formed from a gas mixture comprising boron, chlorine, fluorine, carbon, and sulfur.

Abstract: Embodiments of the present disclosure provide methods, systems, and computer program products for implementing retargeting-aware metal fill optimization for an IC layout. A disclosed embodiment enables a metal fill optimization design tool to identify empty space adjacent to the active metal shapes of one or more signal path nets in a metal shapes infrastructure and provide retargeting-aware metal fill insertion into empty space configured to specifically avoid foundry retargeting operations having adverse impacts on timing characteristics of signal path nets.

Abstract: Automatic generation of service instance managers includes automatically generating, from a first representation of a service instance manager for an environment, a second representation of the service instance manager. The first representation and second representation are programmed in different technologies. The automatically generating includes obtaining a universal form into which the first representation was transformed via a transformation, and further includes generating the second representation using the universal form and variable information, recovered from the first representation, lost by the transformation of the first representation into the universal form.

Abstract: Systems/techniques that facilitate artificially intelligent compilation of quantum circuits for quantum computing are provided. In various embodiments, a system can receive a quantum circuit. In various aspects, the system can synthesize, via a reinforcement learning model, the quantum circuit into a sequence of Pauli rotations of form exp(i?P), where P is a multi-qubit tensor product of Pauli matrices, that is supported by a quantum computing architecture with Pauli rotations as a gate set.

Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to incorporating explainability constraints into machine learning model training. A computer-implemented system can comprise a memory that can store computer executable components. The computer-implemented system can further comprise a processor that can execute the computer executable components stored in the memory, wherein the computer executable components can comprise a training component that can train a machine learning model using an objective function that can be modified to incorporate an explainability metric for the machine learning model in addition to a model performance metric of the machine learning model.

Abstract: A power distribution unit (PDU) of a disclosed embodiment comprises a configurable PDU architecture providing phase redundancy. The configurable PDU architecture comprises a switch bank having power inputs Phase A, Phase B, Phase C, and Neutral and providing respective phase outputs to respective connected loads. A switching control receives sense inputs and provides configuration controls to the switch bank. The switch bank switches in an alternate phase input when a primary phase fails providing phase redundancy and continued reliable operations with the loss of a single input phase. The PDU of one or more disclosed embodiments enables universal input power configurations including Single phase, Delta, and Wye configurations.

Abstract: A semiconductor structure includes at least two chiplets, where each chiplet includes a top semiconductor device with frontside interconnect wiring contacting a substrate with through-silicon vias and the top semiconductor device contacts a bottom semiconductor device with backside interconnect wiring. At least a first bridge chip connects to a first portion of the backside interconnect wiring in each of the two chiplets and at least a second bridge chip connects the frontside interconnect wiring in each of the two chiplets to the substrate with the through-silicon vias in each of the two chiplets. The top semiconductor device and the bottom semiconductor device in each of the two chiplets are electrically connected.

Abstract: Systems, methods, and computer program products for data compression are disclosed. A method for data compression may comprise reading a first vector belonging to an unsorted vector space; generating, based on the first vector, a first sorted vector belonging to a sorted vector space, the sorted vector space comprising a plurality of vectors; determining a distance between the first sorted vector and each codeword of the plurality; selecting a nearest codeword from the plurality of codewords based on the distances; and providing a compressed representation of the first vector, the compressed representation comprising an identification of the nearest codeword and the first permutation vector.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: obtaining service request data by a service application; generating query data for query of one or more machine learning model in dependence on the service request data; examining model data of a plurality of candidate machine learning models; selecting at least one model from the candidate machine learning models in dependence on the examining model data of the plurality of candidate machine learning models, wherein the at least one model defines a selected at least one model; and sending the query data to the selected at least one model for return of responsive prediction data.

Abstract: Timing analysis of a digital integrated circuit using intent based timing constraints includes defining a plurality of intent groups for an integrated circuit design. Each intent group is associated with a different clock type of the integrated circuit design. A different timing phase of a plurality of timing phases of one or more clock signals of the integrated circuit design is associated with each intent group. One or more timing constraints is associated with each of the intent groups. A timing result is computed based on propagating the timing phases of each of the intent groups and applying the associated timing constraints from an input to a timing point of the integrated circuit design.

Abstract: Operation of an accelerator of a computing environment is invoked based on storing data to be used by the accelerator in a selected location. The storing of the data in the selected location signals to the accelerator that a task is to be performed by the accelerator. Status of the task performed by the accelerator is obtained, and at least one action is performed based on obtaining the status of the task performed by the accelerator.

Abstract: Provided are a computer program product, system, and method for providing demotion hints with track access requests. A track access request is generated for a track in the storage system. A determination is made whether the track access request is for a designated utility. The track access request is submitted with a demotion hint to cause the track to be indicated on a transient cache list in response to determining that the track access request is for the designated utility. The track access request is submitted without a demotion hint in response to determining that the track access request is not for the designated utility to cause the track to be indicated on a prolonged cache list. The demotion of tracks is first attempted from the transient cache list before demoting tracks from the prolonged cache list.

Abstract: Provided are a computer program product, system, and method for pre-processing a table in a document for natural language processing (NLP). A graphical user interface (GUI) provides a representation of table items in a table in a document including a set of a main element comprising an entity whose value is to be extracted, a conditional element that refines the entity, and a value element comprising a value for the entity. Graphical controls are rendered in the GUI to enable a user to select an element from the table to be the main element, conditional element, and value element. The set of the main element, conditional element, and value element are updated with the user selected element to form a modified set. The modified set of the main element, conditional element, and the value element are provided to an NLP engine to perform natural language processing.

Abstract: Techniques for using machine learning to model climatic data are disclosed. In one example, a computer implemented method comprises receiving climate data comprising a plurality of spatial components and a plurality of temporal components, and masking a portion of the climate data. A machine learning model is trained, wherein the training is based at least in part on the masked portion of the climate data. A vector representation of the climate data is generated via the machine learning model.