Abstract: A semiconductor device with resistive memory includes a bottom electrode disposed on a base structure, the bottom electrode having a structure that tapers up from the base structure to a tip of the bottom electrode. The semiconductor device also includes sidewall spacers on the sides of the bottom electrode, an interlayer dielectric deposition (ILD) outside the sidewall spacers, and a top dielectric layer disposed over the bottom electrode, and the sidewall spacers. The semiconductor device further includes a top electrode deposited over the bottom electrode within the sidewall spacers. A filament formation region is formed at the tip of the bottom electrode.

Abstract: Techniques for selective CD shrink for source and drain contact trench to optimize FET device performance are provided. In one aspect, a semiconductor FET device includes: at least one gate; source and drains on opposite sides of the at least one gate; recesses in the source and drains; and metal contacts disposed over the source and drains and in the recesses, wherein the metal contacts are in direct contact with a bottom and sidewalls of each of the recesses in both a first direction and a second direction, wherein the first direction is perpendicular to the at least one gate, and wherein the second direction is parallel to the at least one gate. A method of forming a semiconductor FET device is also provided.

Abstract: Provided are a computer program product, system, and method for configuring and controlling an automated vehicle to perform user specified operations. User vehicle control programs are loaded in an unmanned vehicle to control the unmanned vehicle to perform a user specified operation. The loading the user vehicle control programs replaces base vehicle control programs in the unmanned vehicle. There is communication with the unmanned vehicle to execute the user vehicle control programs to control the unmanned vehicle to perform the user specified operation. The base vehicle control programs are loaded into the unmanned vehicle to replace the user vehicle control programs to return control of the unmanned vehicle to a vehicle provider after performing the user specified operation.

Abstract: Communications are managed and prioritized by a machine learning process in a vehicle with automated driver assistance. It is detected that the vehicle is currently being operated in manual mode by a human driver. It is detected that a telecommunication device located within the vehicle is receiving a communication. The communication is classified according to a priority. The communication is acted upon based on the priority classification. The driver state is assessed at the conclusion of the communication. The vehicle returns to the manual driving mode if the driver state is compatible with the manual driving mode.

Abstract: The invention is notably directed to a device for performing a matrix-vector multiplication of a matrix with a vector. The device comprises a memory crossbar array comprising a plurality of row lines, a plurality of column lines and a plurality of junctions arranged between the plurality of row lines and the plurality of column lines. Each junction comprises a programmable resistive element and an access element for accessing the programmable resistive element. The device further comprises a readout circuit configured to perform read operations by applying positive read voltages of one or more first amplitudes and negative read voltages of one or more second amplitudes corresponding to the one or more first amplitudes. The one or more first amplitudes and the corresponding one or more second amplitudes are different from each other, thereby correcting polarity dependent current asymmetricities.

Abstract: A clock comparator sign control is used in a compare operation. A clock comparator sign control that determines whether unsigned arithmetic or signed arithmetic is to be used in a comparing operation is obtained. The clock comparator sign control is then used in a comparison of a value of a clock comparator and at least a portion of a value of a time-of-day clock to determine whether a selected action is to be recognized.

Abstract: Embodiments herein describe FETs with channels that form wrap-around contacts (a female portion of a female/male connection) with metal contacts (a male portion of the female/male connection) in order to connect the channels to the drain and source regions. In one embodiment, a first conductive contact is formed underneath a dummy channel. In addition an encapsulation material wraps around the first conductive contact. The dummy channel and the encapsulation material can then be removed and replaced by the material of the channel which, as a result, include a female portion that wraps around the first conductive contact.

Abstract: Disambiguation of search keywords to expert systems is performed through the application of a semantic ranking function to determine a classification category with confidence for a given query. The semantic ranking function is executed through an application of a semantic distance distribution profile score through analysis of user problem statement (UPS) with nodes in the taxonomy in the same vector space to create a search that combines a user problem statement and a taxonomical node in the search engine index. The distribution profile score calculation is provenance influenced to derive geographic, cultural, and demographic provenance for a user problem statement.

Abstract: Systems, computer-implemented methods or computer program products to facilitate receiving results of a semantic structured query language (SQL) query and employing sparse hash-table based sketches to interpret a semantic structured query language (SQL) query result. A computing component stores a first space-efficient structure sketch in a compressed serialize form. The computing component can load a second space-efficient data structure sketch along with the first space-efficient data structure sketch and can compute one or more interpretability scores by extracting co-occurrence information from the first space-efficient data structure sketch. The second space-efficient data structure sketch can include a sketch for containment check.

Abstract: The present disclosure relates to a method for displaying a search result in a user interface comprising a sequence of K table rows, a sequence of first type columns (named regular columns) and a sequence of B second type columns (named braided columns), the search result comprising values of attributes. The method includes creating a structure that includes a sequence table rows and a sequence of regular columns and a sequence of braided columns. The method selects a row of the sequence of rows and a braided column of the braided columns for displaying the search result. In each regular column a regular cell that is included in the selected row may be defined. From a braided column a braided cell may be defined that includes in the selected row and subsequent B?1 rows. The attributes values are displayed in the defined regular and braided cells.

Abstract: A method, computer system, and a computer program product is provided for computer log management. In one embodiment, in response to receiving a log request from a user, an input content is analyzed and adjusted according to input contents and user's previous activities. A similarity analysis and a fairness analysis is performed to determine similarities between the input content, as adjusted, and a plurality of log records in an object library. The similarity analysis includes analyzing any patterns and attributes. The attributes have a dimension, and each dimension has a predefined weight (W). The fairness analysis ensures that one type of log is not favored over others. A best possible match is then determined, and one or more logs are presented to the user providing the best possible match.

Abstract: A method for performing sparse quantum Fourier transform computation includes defining a set of quantum circuits, each quantum circuit comprising a Hadamard gate and a single frequency rotation operator, said set of quantum circuits being equivalent to a quantum Fourier transform circuit. The method includes constructing a subset of said quantum circuits in a quantum processor, said quantum processor having a quantum representation of a classical distribution loaded into a quantum state of said quantum processor. The method includes executing said subset of said quantum circuits on said quantum state, and performing a measurement in a frequency basis to obtain a frequency distribution corresponding to said quantum state.

Abstract: Methods and apparatus are provided for memorizing data signals in a spiking neural network. For each data signal, such a method includes supplying metadata relating to the data signal to a machine learning model trained to generate an output signal, indicating a relevance class for a data signal, from input metadata for that data signal. The method includes iteratively supplying the data signal to a sub-assembly of neurons, interconnected via synaptic weights, of a spiking neural network and training the synaptic weights to memorize the data signal in the sub-assembly. The method further comprises assigning neurons of the network to the sub-assembly in dependence on the output signal of the model such that more relevant data signals are memorized by larger sub-assemblies. The data signal memorized by a sub-assembly can be subsequently recalled by activating neurons of that sub-assembly.

Abstract: An ontology topic is selected and a pretrained predictive language model is primed to create a predictive primed model based on one or more ontological rules corresponding to the selected ontology topic. Using the predictive primed model, natural language text is generated based on the ontology topic and guidance of a prediction steering component. The predictive primed model is guided in selecting text that is predicted to be appropriate for the ontology topic and the generated natural language text. The generated natural language text is processed to generate extracted ontology rules and the extracted ontology rules are compared to one or more rules of an ontology rule database that correspond to the ontology topic. A check is performed to determine if a performance of the ontology extractor is acceptable.

Abstract: Computer-implemented methods, computer program products, and computer systems for improving intent determination in a messaging dialog manager system. The computer-implemented method for improving intent determination in a messaging dialog manager system may include one or more processors configured for receiving first agent entry data corresponding to a first agent communicating in a messaging dialog interface, determining that the first agent entry data expects a response that is within a first response domain, determining that a first user entry entered in the messaging dialog interface is not within the first response domain. Further, the computer-implemented may include identifying a second agent configured with a second response domain that includes the first user entry and transmitting the first user entry to the second agent to facilitate a seamless transition of an established communicational flow between the first agent and a first user.

Abstract: One or more computer processors detect a computing device within a proximity to a rollable device. The one or more computer processors determine a location and an orientation of the rollable device relative to the computing device. The one or more computer processors attach the rollable device to the computing device utilizing the set of biometric locks engaged programmatically such that at least one side of the rollable device is locked and hinged to the computing device. The one or more computer processors responsive to the rollable device attached to a side of the computing device, extend a display area of the computing device to the rollable device.

Abstract: Classification and visualization of user interactions with an interactive computing platform is provided by building and providing a graphical user interface (GUI) of graphical elements for display on a display device. The graphical elements present visualizations of user interactions between users and an interactive computing platform in progression of the users through tasks based on the user interactions. The graphical elements also present identified features of the user interactions relative to the tasks and progression of the users therethrough. The building and providing includes building and providing, for a task of the tasks, a task element with first features corresponding to subtasks of the task and second features providing relations between the first features.

Abstract: A computer system, product, and method are provided. The computer system includes an artificial intelligence (AI) platform operatively coupled to a processor. The AI platform includes tools in the form of a machine learning model (MLM) manager, a metric manager, and a training manager. The MLM manager accesses a plurality of pre-trained source MLMs, and inputs a plurality of data objects of a test dataset into each of the source MLMs. The test dataset includes the plurality of data objects associated with respective labels. For each source MLM, associated labels are generated from the inputted data objects and a similarity metric is calculated. The MLM manager selects a base MLM to be used for transfer learning from the plurality of source MLMs based upon the calculated similarity metric. The training manager trains the selected base MLM with a target dataset for the target domain.

Abstract: A computer-implemented method according to one embodiment includes receiving a request to perform a transaction in persistent memory at a first node; implementing the transaction within a volatile transaction cache at the first node; determining parity data for the transaction at the first node; sending the parity data from the first node to a parity node; and transferring results of the transaction from the volatile transaction cache to the persistent memory at the first node.

Abstract: A system, program product, and method for validating a system under test (SUT). The method includes generating one or more application programming interface (API) requests. The method also includes selecting one or more random biases for one or more properties of the one or more API requests. The method further includes generating a random sample of one or more values from an input domain space, wherein the one or more values are associated with one or more respective fields of the API being requested.

Abstract: File system performance enhancement is provided. Information related to a container of the computer accessing a file in a layer of a file system of an image corresponding to the container is recorded to form recorded file system layer access information. The recorded file system layer access information is shared with another file system of a container image corresponding to a different container on the computer. The container image is a same image as the image corresponding to the container that accessed the file to perform an operation associated with a cloud application.

Abstract: Embodiments of the present invention relate to methods, systems, and computer program products for managing a plurality of live comments. A plurality of live comments is obtained for a video, the plurality of live comments being associated with a plurality of fragments in the video, respectively. A plurality of features are extracted from the plurality of live comments, respectively. A knowledge base is generated for the plurality of live comments based on the plurality of features. With these embodiments, the live comments may be managed in an effective way. Further, the knowledge base may provide answers to a user query.

Abstract: A computer implemented method transforms data. Responsive to receiving a data transformation of an input string to an output string, a computer system identifies mappable tokens in the input string that are mappable to the output string. The computer system creates a set of initial mappings for a set of common tokens in the mappable tokens. The set of initial mappings maps the set of common tokens from the input string to the output string. The computer system creates a set of user mappings that maps the mappable tokens from input string to the output string using a user input to the set of initial mappings. The computer system generates program code that transform input strings to output strings using the set of user mappings that maps the mappable tokens from input string to the output string, wherein the program code is used to transform input strings to output strings.

Abstract: Embodiments of the present disclosure relate to a method, system, and computer program product for dynamic update of a computer program in memory. According to the method, one or more processors obtain incremental information, the incremental information specifying an incremental update to at least one section of at least one target function in a computer program. One or more processors identify, based on the incremental information, the at least one target function to be updated from the computer program. One or more processors generate at least one updated copy of the at least one target function by updating the at least one section of the at least one target function based on the incremental information. One or more processors update the computer program based on the at least one updated copy of the at least one target function while the computer program is running.

Abstract: Embodiments for a metadata predictor. An index pipeline generates indices in an index buffer in which the indices are used for reading out a memory device. A prediction cache is populated with metadata of instructions read from the memory device. A prediction pipeline generates a prediction using the metadata of the instructions from the prediction cache, the populating of the prediction cache with the metadata of the instructions being performed asynchronously to the operating of the prediction pipeline.

Abstract: Methods and systems for a reinforcement learning system. A spatial and temporal representation of an observed state of an environment is encoded. A previous state is estimated from a given state and a size of a reward is adjusted based on a difference between the estimated previous state and the previous state.

Abstract: Embodiments are directed to deploying a workload on the best/highest performance node. Nodes configured to accommodate a request for a workload are selected. Information is collected on each of the selected nodes and the workload. Predicted response times expected for the workload running on each of the selected nodes are determined. The workload is deployed on a node of the selected nodes, the node having a corresponding predicted response time for the workload, the workload being deployed on the node based at least in part on the corresponding predicted response time.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate modernization of an application 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 determination component that determines one or more relevant surrounding contexts for a raw entity. The computer executable components also can comprise a matching component that matches the one or more relevant surrounding contexts with one or more known surrounding contexts of one or more known entities. The computer executable components further can comprise a type identification component that identifies an entity type for the raw entity based on the matching of the one or more relevant surrounding contexts with the one or more known surrounding contexts.

Abstract: Techniques regarding quantum error mitigation are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise an error mitigation component that can add a set of scaled quantum gates to a quantum circuit for error mitigation. The set of scaled quantum gates can comprise a quantum gate and an inverse of the quantum gate. Also, the set of scaled quantum gates can have a rotation angle based on a pulse schedule to achieve a target stretch factor.

Abstract: An approach for optimizing storage on a local storage device. The approach identifies a stored or being stored on a user's local storage device. The approach extracts metadata from the media file. The approach searches the user-associated storage locations for a matching media file based on the metadata. If the approach locates the matching media file, then the approach, using artificial intelligence (AI), predicts if the local device storage should be optimized for the media file, then the approach, using AI, stores a link to the matching media file on the local device storage and removes the media file from the local device storage.

Abstract: Obtain, at a computing device, a segment of computer code. With a classification module of a machine learning system executing on the computing device, determine a required annotation category for the segment of computer code. With an annotation generation module of the machine learning system executing on the computing device, generate a natural language annotation of the segment of computer code based on the segment of computer code and the required annotation category. Provide the natural language annotation to a user interface for display adjacent the segment of computer code.

Abstract: A system, method, and computer program product are disclosed. The method includes receiving a first text unit, extracting features from the first text unit, receiving a second text unit, extracting features from the second text unit, receiving a portion comprising the first text unit and the second text unit, and aggregating the features extracted from the first text unit and the features extracted from the second text unit. The method also includes generating a set of scores for the first text unit, the second text unit, and the portion, and based on the set of scores, selecting at least one ground truth candidate from the first text unit, the second text unit, and the portion. Additionally, the method includes determining that the at least one ground truth candidate includes at least one confirmed ground truth, and adding the at least one confirmed ground truth to a ground truth repository.

Abstract: One embodiment provides a method, including: receiving, from a user at a collaboration platform, a request to perform a computation; generating a workflow comprising a sequence of steps for performing the computation; identifying potential data sources comprising the type of data and able to assist in performing at least one of the sequence of steps of the workflow; selecting computation data sources that collaborate to perform the computation, wherein the selecting is performed dynamically and based upon characteristics of a network created by the collaboration platform and between the computation data sources; and facilitating performance of the computation by the computation data sources using data of the computation data sources, wherein during performance of the computation the computation data sources collaborate within the network to perform the workflow while maintaining individual privacy of the data of the computation data sources and providing proof verifying a trustworthiness of the computation.

Abstract: A method for measuring alpha particle emissions may include obtaining a wafer emission rate, wherein the wafer emission rate is measured with a counter. The method may further include covering the wafer with a metal mesh grounded to a cathode of the counter wherein the metal mesh is grounded to the cathode outboard of the wafer and obtaining a mesh and wafer emission rate, wherein the mesh and wafer emission rate is measured with the counter. The method may further include replacing the wafer with a wafer carcass, obtaining a wafer carcass and mesh emission rate, and calculating a wafer carcass emissivity.

Abstract: Systems for generating attack event logs are disclosed. An example system includes a storage device for storing an event log template. The system also includes a processor to receive a selection of the event log template, and receive an attack description comprising user instructions to fabricate synthetic log entries according to a format defined in the event log template. The attack description includes variables and rules for determining values for the variables. The processor generates the attack event log by determining values that satisfy the rules and writing the values into selected fields of the event log template.

Abstract: In an approach for conversational interchange optimization, a processor monitors conversations in a communication system. A processor generates a list of topics in the conversations. A processor determines a flow for each topic based on length of time, number of participants, and sentiment associated to each topic. The flow is the progress of interactions and shifts for each topic. A processor builds a statistical model for each topic based on the flow to predict success or failure of a topic progression for an incoming conversation. A processor updates the topic progression for the incoming conversation based on the predicted success or failure.

Abstract: Systems and methods for adapting physical activities and exercises based on facial analysis by image processing are disclosed. A method includes: identifying, by a computer device, a user; receiving, by the computer device, video data of a face region of the user while the user is engaged in exercise or physical activity; analyzing, by the computer device, the video data to determine a detected state of the user, wherein the analyzing the video data includes performing facial analysis using the video data; and providing, by the computer device, feedback to the user based on the analyzing the video data.

Abstract: A supervised discriminator for detecting bio-markers in an audio sample dataset is trained and a denoising autoencoder is trained to learn a latent space that is used to reconstruct an output audio sample with a same fidelity as an input audio sample of the audio sample dataset. A conditional auxiliary generative adversarial network (GAN) trained to generate the output audio sample with the same fidelity as the input audio sample, wherein the output audio sample is void of the bio-markers. The conditional auxiliary generative adversarial network (GAN), the corresponding supervised discriminator, and the corresponding denoising autoencoder are deployed in an audio processing system.

Abstract: Techniques regarding pain treatment are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can include: a data collection component that can determine at least one parameter associated with a pain perception of a subject, a computing component that can determine a relationship between the pain perception and the at least one parameter using artificial intelligence, and can determine a treatment for the subject based on the relationship; and a treatment component that can cause a device associated with the subject to apply at least a portion of the treatment.

Abstract: A temperature-dependent capacitor comprises a first conductive plate, a second conductive plate located in a parallel-planar orientation to the first conductive plate, and a dielectric material located between the first conductive plate and the second conductive plate, the dielectric material having a temperature-dependent dielectric constant (?) value, wherein the temperature-dependent capacitor has a positive correlation of an operating temperature of the temperature-dependent capacitor to a capacitance value of the temperature-dependent capacitor.

Abstract: A semiconductor structure comprises a gate structure of a transistor. The gate structure comprises a gate conductive portion disposed on a gate dielectric layer. The semiconductor structure further comprises a capacitor structure disposed on the gate structure. The capacitor structure comprises a first conductive layer, a dielectric layer disposed on the first conductive layer and a second conductive layer disposed on the dielectric layer. The first and second conductive layers are respectively connected to a first contact portion and a second contact portion.

Abstract: A mechanism is provided to implement an action-object interaction detection mechanism for recognizing actions in cluttered video scenes. An object bounding box is computed around an object of interest identified in a corresponding label in an initial frame where the object of interest appears in the frame. The object bounding box is propagated from the initial frame to a subsequent frame. For the initial frame and the subsequent frame: the object bounding boxes of the initial frame and the subsequent frame are refined and cropped based on the associated refined object bounding boxes. The set of cropped frames are processed to determine a probability that an action that is to be verified from the corresponding label is being performed. Responsive to determining the probability is equal to or exceeds a verification threshold, a confirmation is provided that the action-object interaction video performs the action that is to be verified.

Abstract: A deep-learning based method evaluates similarities of entities in decentralized identity graphs. One or more processors represent a first identity profile as a first identity graph and a second identity profile as a second identity graph. The processor(s) compare the first identity graph to the second identity graph, which are decentralized identity graphs from different identity networks, in order to determine a similarity score between the first identity profile and the second identity profile. The processor(s) then implement a security action based on the similarity score.

Abstract: An embodiment for automatically controlling peripheral devices based on online meeting participant information. The embodiment may detect participants of an online meeting and generate a participant information table. The embodiment may generate a participant group table including one or more preliminary participant groups based on the participant information. The embodiment may generate and send audio through peripheral devices associated with at least one participant in each of the one or more preliminary participant groups to identify the participants in physically shared meeting spaces. The embodiment may update the participant group table to include confirmed participant groups based on the identified participants in the physically shared meeting spaces. The embodiment may determine a presenter for each of the confirmed participant groups and update the participant information.

Abstract: A computer-implemented method, system and computer program product for maximizing system scalability while guaranteeing enforcement of service level objectives. A request is received to access a backend database in a hierarchy of backend databases that includes heterogenous computing resources with a dynamic range of performance. Upon receiving the request, a reinforcement learning based filter determines if the request's frequency of access exceeds a cutoff frequency. If the received request is not filtered, but instead, is passed through the filter, then one of the backend databases in the hierarchy is selected. Such a selection is made by a load balancer that is trained using reinforcement learning to select the optimal backend database taking into consideration the storage size and speed of the backend databases as well as taking into consideration the user-specified service level objective to be met by the request to guarantee enforcement of such a service level objective.

Abstract: A computer-implemented method according to one aspect includes creating an initialization vector, utilizing an instance of plaintext and a secret key; encrypting the instance of plaintext, utilizing the initialization vector, the secret key, and the instance of plaintext; combining the initialization vector and the encrypted instance of plaintext to create a ciphertext string; and outputting the ciphertext string.

Abstract: A computer-implemented method includes receiving, by a storage system, encrypted data and a set of key identifiers. Each key identifier is associated with information specifying a storage location for which the key identifier is authorized. The method also includes storing, by the storage system, the encrypted data in at least one storage location and receiving, by the storage system, at least one key identifier of the set of key identifiers with a data access request. The method includes determining, by the storage system, whether the data access request is authorized for the at least one key identifier.

Abstract: A computer-implemented method includes receiving, by a processor, a physical design block and a physical hierarchy of a chip design of a chip. Further, the method includes extracting, by the processor, one or more features of a macro to be added to the chip design based on a logic synthesis of the chip design. Further, the method includes predicting, by the processor, specifications of the macro to be added to the chip design based on the physical design block, the predicting performed using a pre-trained machine learning model. Further, the method includes using, by the processor, the specifications of the macro to perform a physical synthesis of the chip design to determine a physical layout of the chip.

Abstract: Techniques regarding chemical compounds comprising perfluoroaryl groups that can facilitate post-synthesis functionalization are provided. For example, one or more embodiments described herein can comprise a chemical compound. The chemical compound can comprise a molecular backbone. The chemical compound can also comprise a pendent functional group bonded to the molecular backbone. The pendent functional group can comprise a perfluoroaryl group and a methylene group.

Abstract: Methods for creating a knowledge graph for a video are disclosed. Aspects include obtaining the video, processing the video to extract audio information and video information, and storing the extracted audio information and video information with a timestamp corresponding its occurrence in the video. Aspects also include creating a plurality of groups of the extracted audio information and video information based at least in part on the timestamps and extracting two or more keywords from each of the plurality of groups. Aspects further include identifying a relationship between the two or more keywords based on the extracted audio information and video information and creating a graph having a plurality of nodes and a plurality of links that connect a pair of nodes of the plurality of nodes. Each node corresponds to an extracted keyword and each link corresponds to the identified relationship between the pair of nodes.