Abstract: An approach to optimize performance for large scale inference models. Data in the form of images is received from sensors such as cameras. The data is processed to generate data tags associated with the context of the image and portion the images. Model tags are generated based on data characteristics or user input. The tags and their associated data are added to a time-based queue for delivery to the appropriate inference models. Based on the embedded delivery time and frequency, the portioned images are delivered to the appropriate inference models.

Abstract: In an approach to improve implementing program code modifications within a predetermined system embodiments simulate an impact of an implemented modification to a software code against one or more predetermined constraints using a target environment. Further, embodiments comparing a first executed simulation against a second executed simulation of the software code, wherein the second executed simulation comprises the implemented modifications and a current version of the software code. Additionally, embodiments, generate guidance for a user based on the comparison of the first and second executed simulations, wherein the generated guidance comprises positive and negative impacts of the implemented software code modifications regarding compliance with the one or more predetermined constraints, and output, by a user interface, the generated guidance to the user detailing the impact of the implemented modification.

Abstract: A semiconductor device including a nanosheet field effect transistor (FET) comprising a thin gate oxide layer and a floating gate memory cell comprising a tunneling oxide, a floating gate, and a blocking oxide layer over a fin FET device. The device fabricated by forming a nanosheet stack and fin structures, forming tunneling oxide and floating gate layers over the nanosheet stack and fin structures, forming dummy gate structures over the nanosheet stack and fin structures, removing the dummy gate structures, forming a blocking oxide layer over the floating gate, and forming replacement metal gates.

Abstract: An embodiment for managing peer-to-peer (P2P) donations in an online transaction is provided. The embodiment may include receiving data relating to a donation agreement from a donor. The embodiment may also include selecting one or more authentication techniques to identify a donee. The embodiment may further include generating a unique redemption authentication token for the donee. The embodiment may also include creating a transient donee account including the generated unique redemption authentication token. The embodiment may further include transferring monetary funds to the created transient donee account with instructions to redeem the transferred monetary funds. The embodiment may also include receiving a request from the donee to redeem the transferred monetary funds utilizing the generated unique redemption authentication token. The embodiment may further include in response to determining the donee is able to be verified, approving the received redemption request.

Abstract: A computer assists in training a user to speak with a target accent by determining improvable aspects of diagnostic input of a user speaking diagnostic phrases with the target accent. The computer selects, a focus phrase characterized by at least one of said improvable aspects. The computer records performance input of the user attempting to say the focus phrase in the target accent. The computer converts the performance input into output having a baseline voice of the and the target accent applied. The computer presents the output and determines teachable aspects of revised performance input from the user replicating the output. The computer converts selected aspects of the revised performance input into augmented teaching output in the user's voice with the target accent applied. The computer presents the augmented teaching output to the user.

Abstract: A semiconductor structure including a bottom source drain region arranged on a substrate; a semiconductor channel region extending vertically upwards from a top surface of the bottom source drain region; a metal gate disposed around the semiconductor channel region; a top source drain region above the semiconductor channel region; and a top contact partially embedded into the top source drain region.

Abstract: A transistor structure, includes a buffer layer and a quantum well channel layer on top of the buffer layer. There is a barrier layer on top of the channel layer. There is a drain contact on a channel stack. A source contact is on a channel stack. A gate structure is located between the source contact and drain contact, comprising: an active gate portion having a bottom surface in contact with a bottom surface of the source and the drain contacts. A superconducting portion of the gate structure is in contact with, and adjacent to, an upper part of the active gate portion.

Abstract: A rechargeable metal halide battery fabricated with a liquid nitrogen treated metallic anode demonstrates a stable cycle life with a slow rate of degradation and high discharge capacity in comparison to battery cells with untreated anodes. The anode, which may be an alkali metal and/or an alkaline earth metal, is pretreated with the liquid nitrogen prior to formation in a battery stack. The liquid nitrogen treatment forms a metal nitride on a surface of the anode that (i) increases the surface area of the anode, (ii) acts as a passivation layer that prevents detrimental SEI-forming side reactions that degrade anodes, and (iii) suppresses dendrite growth. Where the anode is lithium, the metal nitride is lithium nitride (Li3N).

Abstract: A computer-implemented method according to one embodiment includes identifying a textual document, determining chemical data within the textual document, performing an analysis of the chemical data, and determining whether the chemical data is associated with one or more dangerous characteristics, in response to the analysis.

Abstract: A vertical FET includes a channel fin between a bottom source/drain (S/D) region and a top S/D region, a gate upon a sidewall of the channel fin, a top metallization upon the top S/D region, a first contact metallization connected to the gate, a second contact metallization connected to the bottom S/D region, a first vertical liner between a portion of the gate and the first contact metallization, and a second vertical liner between the top metallization and the second contact metallization. The vertical FET may be fabricated by forming a self-aligned block and utilizing the self-aligned block to e.g., prevent gate to gate shorting during replacement gate formation or processing.

Abstract: Techniques for probabilistic analysis of chemicals are provided. An indication of a proposed chemical composition is received. A predicted toxicity score is generated for the proposed chemical composition by performing probabilistic analysis on the proposed chemical composition. The probabilistic analysis includes identifying, based on a knowledge graph, at least one similar composition that is structurally similar to the proposed chemical composition. The analysis also includes identifying a set of chemical reactions that include the at least one similar composition, and determining one or more products of the identified set of chemical reactions. The probabilistic analysis further includes determining a toxicity of at least one of the one or more products. Finally, the predicted toxicity score is returned.

Abstract: Using a first sensor device in a network of sensor devices, sensor data is measured. A second sensor device comprising a trusted sensor device is selected from the network of sensor devices. A gain matrix is updated. Using the gain matrix, the sensor data, and a second parameter estimate received from the second sensor device, a first parameter estimate is updated. The first parameter estimate comprises an estimate of a parameter of a model representing the first sensor device. Using the gain matrix, an estimation error covariance matrix and a cross-variance matrix are updated. Using the updated first parameter estimate, second sensor data measured by the first sensor device is adjusted.

Abstract: Using encoded representations of target model training data and a label corresponding to each portion of the target model training data, a proxy model to determine an uncertainty score corresponding to an output of a trained target model is trained. Using the trained proxy model, a set of uncertainty scores is computed, each uncertainty score in the set of uncertainty scores corresponding to a portion of target model testing data in a set of target model testing data. A subset of the set of target model testing data is selected, the subset comprising a plurality of portions of target model testing data having an uncertainty score above a threshold uncertainty score. Using the subset of the set of target model testing data, the trained target model.

Abstract: Described are techniques for modifying existing driver plugin behavior using a plugin wrapper to enable driver compatibility with an unsupported container deployment model. The techniques include intercepting, by a plugin wrapper operating as part of a container orchestration system, an allocation request intended for a driver plugin, where the allocation request is for allocating a computing resource to a containerized application deployed using a container deployment model not supported by the driver plugin. The techniques further include modifying, by the plugin wrapper, the allocation request to correspond to specifications of the container deployment model, thereby forming a modified request to allocate the computing resource to the containerized application.

Abstract: A baseline of behavior is determined for a population of users that interact with an autonomous agent that is configured to respond to natural language prompts of users of the population using respective user profiles for each user. An element associated with a first user that deviates more than a threshold amount from the baseline is identified. In response to the element deviating more than the threshold amount, the autonomous agent is caused to engage the first user unprompted regarding the element via an engagement that is configured to verify an association between the first user and the element. A response from the first user regarding the engagement is determined to verify the association between the first user and the element. A first user profile that corresponds to the first user is updated in response to determining that the first user response verifies the association.

Abstract: A method for guiding an emergency vehicle to an emergency site includes receiving an emergency dispatch message including a location of an emergency. Present location information is received for an emergency vehicle. A route between the received present location and the received location of the emergency is calculated using area map data. Navigation guidance is provided to the emergency vehicle based on the calculated route. The calculated route and the present location information for the emergency vehicle are transmitted to an unmanned aerial vehicle (UAV). The UAV is automatically piloted ahead of the emergency vehicle, along the calculated route, using the calculated route and present location transmitted thereto. A traffic alert is transmitted from the UAV to influence traffic flow ahead of the emergency vehicle.

Abstract: A method of forming a semiconductor structure includes forming a first array of mandrels on a hardmask layer disposed on an uppermost surface of a semiconductor substrate. First sidewall image transfer spacers are formed on opposing longitudinal sidewalls of each mandrel in the first array of mandrels. A second array of mandrels is formed on the hardmask layer. Each mandrel in the second array of mandrels is laterally separated from each mandrel in the first array of mandrels by the first sidewall image transfer spacers. Second sidewall image transfer spacers are formed on opposing transversal sidewalls of the first array of mandrels and the second array of mandrels. Portions of the second sidewall image transfer spacers are selectively removed to define a crosslink fin pattern to be transferred to the semiconductor substrate.

Abstract: Containerized software discover and identification can include discovering a plurality of container remnants by electronically scanning portions of computer memory of at least one computer system of one or more of computing nodes, the portions of computer memory being allocated to persistent storage of computer data, and each container remnant containing computer data providing a record of system-generated execution attributes generated in response to execution of one or more containerized applications. One or more inactive container remnants unutilized by a currently running containerized application can be identified among the plurality of container remnants. Each inactive container remnant can be categorized, the categorizing being based on system-generated execution attributes contained in each inactive container remnant.

Abstract: An apparatus includes a substrate, an array of channels disposed in the substrate, wherein first ends of the channels are exposed to an outside the apparatus, a material disposed in the channel that promotes growth of neural tissue, a plurality of electrodes disposed at second ends of the channels, wherein each channel is aligned with a respective one of the electrodes, and a chip electrically connected to the electrodes.

Abstract: Technology for revising a smart contract, including a set of machine logic based rules for job management of jobs to be performed under an SLA (service level agreement). The machine learning algorithm is refined and optimized dynamically based on intermittently received context data (historical, relevant operational data—may be augmented with projections regarding future events and/or operations). Also, the SLA is self-evolving so that its terms also change based an analysis of the context data.