Abstract: A computer program product, system, and method are provided for direct resistance measurement of a magnetoresistive (MR) head of a storage drive in a storage system. In one embodiment, a voltage difference across the MR reader head is measured directly by applying an AC current to the MR head to generate an AC voltage across the MR head that can propagate through filter capacitors and be measured. In one embodiment, the voltage difference is amplified and the peak-to-peak voltage at the output of the amplifier is captured. Similarly, a reference voltage difference across a reference resistance is measured directly by applying a reference AC current to a reference resistance. The resistance of an MR reader head may be calculated directly as a function of the respective voltage differences without including the resistance of any bias resistors biasing the MR head.

Abstract: An embodiment searches source for callable units, and scans the contents of the callable units, and generates a set of unit groups that each include one or more of the callable units. The embodiment preprocesses the callable units and then generates hashes of each of the callable units. The embodiment generates a data structure comprising unit identifiers associated with the hashes and their corresponding callable units. The embodiment generates statistical data using a callable-unit metric and updates the data structure by prioritizing the callable units based on the statistical data. The embodiment compares hashes of the callable units and identifies first and second callable units as redundant callable units. The embodiment updates the data structure by identifying the second callable unit as being redundant to the first callable unit. The embodiment generates a report of redundant callable units based on the data structure.

Abstract: A technique for threat response associated with an endpoint detection and response (EDR) system. The system uses a combination of automated observable detection, threat intelligence enrichment, graph analysis, and supervised machine learning to machine-predict analyst behavior in classifying (as ‘true’ or ‘false’ positives) the EDR alerts, and to support either (i) automated suppression of those alerts that the system classifies with sufficient confidence as either true or false, or (ii) for those alerts than cannot be so classified, the providing of recommendations to analysts to facilitate their activities. Auto-detection of observables for graph-based feature detection, together with the automated disposition of alerts where possible greatly reduces overall analyst workload for the EDR system.

Abstract: A flexible curtain defines a major surface and is configured to repeatedly actuate to move between a deployed configuration and a stowed configuration. Two sensors are configured to detect different condition and are removably attached to two sensor attachment locations. The major surface extends across an operational surface of a target system such that the sensors detect the conditions of the target system when the flexible curtain defines the deployed configuration. The flexible curtain and the sensors converge at a predetermined edge of the flexible curtain to expose the operational surface of the target system when the flexible curtain defines the stowed configuration.

Abstract: An example operation may include one or more of splitting, by a document server, a document provided by a document owner node into a plurality of segments to be stored on a ledger of a blockchain, detecting, by the document server, a change to the document made by an authorized participant node, updating, by the document server, a segment of the plurality of segments stored on the ledger based on the change to the document, collecting, by the document server, votes on the change to the document from a plurality of participant nodes, and committing the updated segment to the blockchain based on the votes.

Abstract: Techniques regarding qubit coupling structures that enable RIP gates are provided. For example, one or more embodiments described herein can comprise an apparatus that can include a coupling structure coupled to a first qubit and a second qubit. The coupling structure can have a plurality of coupling pathways. A coupling pathway from the plurality of coupling pathways can be a resonator. Also, the first qubit can be coupled to a first end of the resonator, and the second qubit can be coupled to a point along a length of the resonator.

Abstract: Techniques facilitating low thermal conductivity support systems within cryogenic environments are provided. In one example, a cryostat can comprise a support rod and a washer. The support rod can couple first and second thermal stages of the cryostat. The washer can intervene between the support rod and the first thermal stage. The washer can thermally isolate the support rod and the first thermal stage.

Abstract: An apparatus, method, and computer program product. The embodiments include a method for three-dimensional printing of an object. The method provides for one or more processors to receive image data of an object to print. The one or more processors receive a position of a light-emitting robot inserted within photosensitive material. The one or more processors initiate movement of the light-emitting robot within the photosensitive material. The one or more processors control navigation of the light-emitting robot through the photosensitive material, based on continual feedback of the position of the light-emitting robot within photosensitive material and the received image data of the object to print, and the one or more processors control activation and deactivation of emitted light of the light-emitting robot, based on the image data of the object to print, wherein the emitted light of the light-emitting robot solidifies the photosensitive material.

Abstract: An example operation may include one or more of changing a status of a current blockchain to a closed and retired status based on expiration of a limited time window, creating a genesis block associated with a new blockchain, storing a world state of the current blockchain in the genesis block, creating one or more smart contracts, storing the one or more smart contracts on the new blockchain, and initiating an open stage on the new blockchain, and the open stage permits one or more potential blockchain transactions to be written to the new blockchain.

Abstract: An injection apparatus for injection material is disclosed. The injection apparatus includes a tank for storing material. The injection apparatus further includes a head body that has a surface for contacting a substrate and an opening part opened at the surface for discharging the material in fluid-communication with the tank. The injection apparatus further includes a member connected to the opening part, in which the member allows gas to flow into and flow out from the opening part.

Abstract: A sharable resource of a first user's environment is identified. The sharable resource is configured as sharable in a shared computer environment. A matching resource that is sufficiently similar to the sharable resource is located. The matching resource is used by pre-existing users of the shared computer environment. Agreement from the pre-existing users for the first user to access the matching resource is obtained. The first user is then provided access to the matching resource.

Abstract: A processor may receive storage area information of a smart storage area. A processor may analyze the one or more objects associated with the smart storage area. A processor may determine a layout of the one or more objects. The layout may be based, at least in part, on one or more object parameters of the one or more objects and the storage area information. A processor may arrange the one or more objects in the layout.

Abstract: A method, computer program product, and computer system for generating and using a basic state layer. N task models are provided (N?2). Each task model was trained on a same pre-trained backbone model. Each task model includes M feature layers and a task layer (M?1). Each feature layer of each task model includes a parameter matrix that is different for the different models. An encoder-decoder model is trained. The encoder-decoder model includes sequentially: an input layer, an encoder, M hidden layers, a decoder, and an output layer. The encoder is a neural network that maps and compresses the parameter matrices in the input layer into the M hidden layers, which generates a basic state model. The decoder is a neural network that receives the basic state model as input and generates the output layer to be identical to the input layer.

Abstract: Mitigating mistranscriptions resolves errors in a transcription of the audio portion of a video based on a semantic matching with contextualized data electronically garnered from one or more sources other than the audio portion of the video. A mistranscription is identified using a pretrained word embedding model that maps words to an embedding space derived from the contextualizing data. A similarity value for each vocabulary word of a multi-word vocabulary of the pretrained word embedding model is determined in relation to the mistranscription. Candidate words are selected based on the similarity values, each indicating a closeness of a corresponding vocabulary word to the mistranscription. The textual rendering is modified by replacing the mistranscription with a candidate word that, based on average semantic similarity values, is more similar to the mistranscription than is each other candidate word.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate quantum computing job scheduling are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a scheduler component that can determine a run order of quantum computing jobs based on one or more quantum based run constraints. The computer executable components can further comprise a run queue component that can store the quantum computing jobs based on the run order. In an embodiment, the scheduler component can determine the run order based on availability of one or more qubits comprising a defined level of fidelity.

Abstract: A content generation method includes receiving a control document comprising one or more control clauses, identifying actionable content for the one or more control clauses, generating a programming language template for the one or more control clauses, identifying a closest existing control clause from a database for each of the one or more control clause, identifying a programming language implementation of the closest existing control clause, identifying similarities and differences between the programming language implementation and the generated programming language template, and annotating the programming language implementation for the closest existing control clause based on the identified similarities and differences.

Abstract: A machine instruction to find a condition location within registers, such as vector registers. The machine instruction has associated therewith a register to be examined and a result location. The register includes a plurality of elements. In execution, the machine instruction counts a number of contiguous elements of the plurality of elements of the register having a particular value in a selected location within the contiguous elements. Other locations within the contiguous elements are ignored for the counting. The counting provides a count placed in the result location.

Abstract: Methods and systems for gathering information from a user include identifying an origin topic and a target topic. A path from the origin topic to the target topic is determined. The path includes a set of bridging topics, where each bridging topic in the path is within a threshold distance in a semantic space from a previous topic and a subsequent topic. An interactive conversation is conducted with the user, introducing each topic in the path until the target topic has been reached. At least one predetermined piece of information relating to a user response to the target topic is recorded.

Abstract: A processor may receive instructional information. The instructional information may be associated with an instructional media. A processor may analyze the instructional information for one or more instructions. A processor may identify a target device from the one or more smart devices in the smart environment that are associated with the one or more instructions. A processor may perform the one or more instructions with the target device.