Abstract: A semiconductor structure comprises a memory device comprising a first electrode, at least one memory element layer disposed on the first electrode, and a second electrode disposed on the at least one memory element layer. An encapsulation layer is disposed around side surfaces of the memory device. The semiconductor structure also comprises a conductive cap layer disposed on a top surface of the encapsulation layer and around a portion of side surfaces of the encapsulation layer. A contact is disposed on the second electrode and extends around the side surfaces of the memory device.

Abstract: A computer-implemented method according to one embodiment includes establishing, for each hop in pathways of a network, a relation between a desired reliability and channel error. Based on the established relations, a maximum number of copies of packets to send from a source in the network to a target in the network is determined. An overhead associated with sending packets from the source to the target in the network is determined for each of the hops, and a first sum of such overheads is also determined. An overhead associated with sending an acknowledgement packet to the source is determined for each of the hops. A second sum is a sum of the overheads associated with sending the acknowledgement packet to the source. In response to a determination that a sum of the first sum and the second sum is less than a predetermined threshold value, the pathways are used.

Abstract: Real time audio stream validation is provided. An audio stream of a voice communication corresponding to a call is segmented into a plurality of blocks in response to receiving the audio stream from a user. The plurality of blocks is modified to generate a first modified audio stream corresponding to the call that includes hashed values of the plurality of blocks. The first modified audio stream along with the hashed values of the plurality of blocks is sent via a network.

Abstract: Methods, computer program products and/or systems are provided that perform the following operations: obtaining a collection of objects; constructing a weighted graph based on the collection of objections, wherein the weighted graph preserves neighborhood semantics of objects of the collection of objects; generating partitions of nodes in the weighted graph of a fixed maximum size utilizing combinatorial partitioning; generating a vector for each node based on the partitions of nodes in the weighted graph; determining vector representations for objects in this collection and eventually applying this vector representation of the objects to gain efficiency (e.g., in terms of computation time and memory requirements) for use in downstream tasks such as recommendation.

Abstract: A water-soluble polymer having an aliphatic polycarbonate backbone, a first carbonate monomer with at least one hydrophilic functionality, and a second carbonate monomer with at least one hydrophobic functionality is able to completely and quickly eliminate a virus from a human and/or animal cell. The at least one hydrophilic functionality is a sulfate, a sulfonate, a carboxylate, and/or a phosphate and the at least one hydrophobic functionality is an alkyl. The hydrophilic/hydrophobic functionalities of the polymer may be tuned to enhance the antiviral properties of the polymer and/or to decrease any cytotoxicity associated with the application of the polymer to a human and/or animal cell. The antiviral polymer is biocompatible and biodegradable.

Abstract: An approach to predicting the outcome of a computer security response. The approach can analyze an unlabeled set of network data and based on the analysis, create a language model of the network. The approach can process the language model to predict a reduction factor associated with network availability. The approach can further process the language model and a malicious sequence to predict an effectiveness factor associated with blocking the malicious sequence. The approach can output bot the reduction factor and the effectiveness factor to a network administrator for determining the applicability of the computer security response.

Abstract: A method of forming a semiconductor structure includes patterning a hard mask layer over a top surface of a substrate. The method also includes forming a first portion of one or more vertical fins below the patterned hard mask layer. The method further includes forming a top spacer on sidewalls of the hard mask layer and the first portion of the one or more vertical fins. The method further includes forming a second portion of the one or more vertical fins in the substrate below the top spacer and trimming sidewalls of the second portion of the one or more vertical fins. The method further includes forming an interfacial layer on the trimmed sidewalls of the second portion of the one or more vertical fins. The one or more vertical fins provide one or more vertical transport channels for one or more vertical transport field-effect transistors.

Abstract: A method, system, and computer program product for behavior-based Internet of Things (IoT) device security are provided. The method detects an action from a set of IoT devices. A context is identified for the action and at least one IoT device of the set of IoT devices. The action and the context are validated for the at least one IoT device. The action is identified as an anomaly based on the validating of the action and the context. A potential state change is identified for the at least one IoT device based on the anomaly. The method determines a responsive action based on the potential state change and the anomaly.

Abstract: In response to a rotation of timing-based servo (TBS) patterns of a first servo band and a second servo band, heights of top and bottom portions of servo stripes of servo frames of the TBS patterns are adjusted to compensate for changes in a usable height of the servo stripes caused by the rotation.

Abstract: A method is provided for driving model calibration. The method clusters a plurality of vehicle trajectories into a plurality of datasets for different driving styles based on a score. The score is calculated for each vehicle trajectory by an objective entropy weight method. The method trains, for each of the plurality of datasets for the different driving styles relative to an existing target driving model, a respective neural network which inputs a respective one of the plurality of datasets and outputs a respective parameter for the existing target driver model to obtain a plurality of trained neural networks. The existing target driver model is for simulating human driving behaviors. The method performs, for each trained neural network, an online adaptation of the existing target driving model based on a respective output of each of the plurality of trained neural networks to obtain a plurality of adapted driver models.

Abstract: Creation of a new block for a blockchain can be initiated. The new block can include a plurality of transactions. The blockchain can include a plurality of existing blocks. Transaction storage data can be generated for the new block. The transaction storage data can indicate the plurality of transactions and specify, for each of the plurality of transactions, which of a plurality of computing nodes are to keep the transaction in the new block. The generated transaction storage data can be added to the new block. The new block can be communicated to the plurality of computing nodes.

Abstract: An index is provided of content at timestamps of frames in a video. A search request is received with search content. A determination is made of matching content in the index, associated with a timestamp, matching the search content. A computer addressable link to the timestamp in the index associated with the matching content is returned to the search request. Selection of the computer addressable link causes the video to play from the timestamp.

Abstract: A computer implemented method for managing datasets for a histogram. The method uses a number of processor units to determine a first span for first bins containing first datapoints in a first dataset in the datasets. The first span is determined based a distribution of the first datapoints in the first dataset and a desired number of bins. The number of processor units adjusts a second span for second bins containing second datapoints in a second dataset in the datasets to form an adjusted span that matches the first span for the first bins. The number of processor units merges the first datapoints in the first bins having the first span with the second datapoints in the second bins having the adjusted span to form a merged dataset for the histogram.

Abstract: Techniques regarding screening for mutations using nanoscale deterministic arrays are provided. For example, one or more embodiments described herein can comprise a method, which can comprise cleaving a deoxyribonucleic acid segment hybridized with a molecular probe to form a sample fluid. The cleaving can occur at a first end and a second end of the molecular probe. Also, the cleaving can comprise a cleaving agent that targets base pair mismatches. The method can also comprise supplying the sample fluid to a nanoscale deterministic lateral displacement array to screen for a single nucleotide polymorphism.

Abstract: Methods, systems, and computer program products for incremental regulatory compliance are provided herein. A computer-implemented method includes obtaining at least one first document indicative of a first set of requirements, at least one second document indicative of a second set of requirements, and a baseline document indicative of one or more security controls currently implemented in a system architecture; performing a document comparison between the at least one first document, the at least one second document, and the baseline document to identify overlapping requirements across the first set and the second set that are not satisfied by the one or more security controls; and recommending at least one additional security control to be implemented in said system architecture for satisfying at least one of the identified overlapping requirements.

Abstract: An embodiment includes retrofitting an existing control device with an automation panel that senses manual actuation of a control element of the control device, and automatically actuates the control element in response to a specified control signal. The embodiment collects state data indicative of an actuation state of the control element and context data of conditions at a time that the state data is collected, and generates a training dataset comprising collected state data and sensor data. It then uses this data to train a classification model to predict a control element actuation state based on sensor data. The embodiment deploys the trained classification model to process sensor data and upon detecting a mismatch between a predicted actuation state output from the trained classification model and an actual actuation state of the control element, the embodiment transmits the specified control signal to the automation panel to actuate the control element.

Abstract: A computer-implemented method includes: receiving, by a computing device and from a user device, a request to validate an application program interface (API); validating, by the computing device, the API by performing a fetch analysis using different user profiles; returning, by the computing device and to the user device, a result of the fetch analysis; validating, by the computing device, the API by performing an insert/update analysis using the different user profiles; and returning, by the computing device and to the user device, a result of the insert/update analysis.

Abstract: A meeting summarization method, system, and computer program product, include compiling notes from a meeting between a plurality of users and providing a single document that summarizes the meeting based on the compiled notes.

Abstract: Machine logic (for example, software) are choosing among pre-existing manufacturing processes to make a newly-designed physical piece part, or a piece part that reflects a modified design with respect to an earlier design. In some embodiments, the manufacturing process includes an additive manufacturing (AM) process. In some embodiments, the manufacturing process involves three dimensional (3D) printing.

Abstract: A system, method, and computer program product for implementing microservice deployment is provided. The method includes receiving definitions associated with microservices related to implementing hardware and software solutions with respect to hardware and software systems. In response, a definition file and associated code comprising the definitions and associated dependencies associated with the microservices are generated. The microservices are deployed to a container orchestration system cluster on a cloud structure and a service mesh and machine learning module are installed within the container orchestration system cluster. Proxies comprising a proxy for each pair of dependencies are generated and network traffic passing through each proxy is monitored. A malfunction of a hardware or software system is detected and an associated network route passing through an associated proxy is disabled.