Abstract: A method of post-deposition processing includes performing a preheat process in a radical treatment chamber, the preheat process comprising exposing a substrate having a metal layer formed thereon to purge gas and purging the purge gas at a pressure of between 400 Torr and 535 Torr, and performing a radical treatment process in the radical treatment chamber, the radical treatment process comprising exposing the substrate to radical species.

Abstract: At an authorization server, a shared secret electronic key may be shared with a second computer. A selection to use a system to complete a transaction may be received from a first computing device. An image may be communicated to the first computing device. A digital representation entered by the user representing the image and a PIN based on the copy of the shared electronic key may be received from the second computing device. The system and method may determine if the digital representation entered by the user on the second computing device matches the image communicated to the first computing device. The system and method may determine if the PIN based on the copy of the shared electronic key from the second computing device is as expected. In response to determining the digital representation entered by the user matches the image and the PIN the second computing device is as expected, the user may be authorized.

Abstract: An augmented reality device having a pair of glasses and an artificial neural network partially implemented via a passive neural network and partially implemented via digital circuits. The passive neural network can process image lights representative of a scene in a view of the pair of glasses to generate a light pattern. An array of light sensing pixels can convert the light pattern into data representative of outputs of a first set of artificial neurons of the artificial neural network. A processor can execute instructions to perform computations of a second set of artificial neurons of the artificial neural network responsive to the outputs of the first set of artificial neurons. A digital accelerator can accelerate multiplication and accumulation operations applied on weight matrices of the second set of artificial neurons.

Abstract: Customization of a deep neural network model to analyze different regions of an image at different machine vision acuity levels. A graphical user interface presents an image captured by an image sensing pixel array and receives user interactions with the image to define regions of the machine vision acuity levels. Based on the user interactions with the graphical user interface, a region mask is generated to identify the regions of pixels in the image sensing pixel array. According to the region mask, unnecessary computations of low machine vision acuity are removed from the deep neural network model to generate a customized computing model of analyzing image data, captured by the image sensing pixel array, at the machine vision acuity levels.

Abstract: Different machine vision acuity levels for anomaly detection in an image. An image sensing pixel array generates image data representative of the image having a first region (e.g., focal region) and a second region (e.g. periphery). A memory cell array stores a first weight matrix representative of a first kernel of a convolutional neural network and a second weight matrix representative of a second kernel. A logic circuit can apply the first kernel to the first region using the first weight matrix to generate first feature data at a first stride length with quantization at a first precision level. The logic circuit can apply the second kernel to the second region using the second weight matrix to generate second feature data at a second stride length with quantization at a second precision level.

Abstract: Decomposing an operation can include dividing the operation into a plurality of portions of the operation. A different portion can be provided from the plurality of portions to each group from the plurality of groups of edge devices. The input values can be provided to each of the plurality of groups of edge devices. A plurality of outputs can be received from the plurality of groups of edge devices generated using the input values and the plurality of portions. The plurality of outputs can be recomposed into a single output for the operation.

Abstract: An apparatus having a plurality of accelerators of different types for operations of multiplication and accumulation. In response to a request to perform a task of multiplication and accumulation on input data, the apparatus can analyze the input data to determine characteristics of the input data. The characteristics are indicative of energy efficiency levels of the accelerators in performing the task. The apparatus can assign the task to one of the accelerators based on the characteristics for improved energy efficiency, in addition to balancing workloads for the accelerators. For example, the different types of accelerators can include accelerators configured to perform multiplication and accumulation using microring resonators, synapse memory cells, logical multiply-accumulate units, memristors, etc.

Abstract: An apparatus to compute an attention matrix implementing an attention mechanism in artificial neural networks, having: memory to store key value pairs; a reorder buffer to provide a reordered list of keys from the key value pairs; an analog dot product accelerator configured to compute dot products of key elements of keys from the reordered list of keys with respective query elements of a query row of a query matrix; a processing device configured to generate, based on results of the dot products, a row of attention scores corresponding to the query row of the query matrix for the reordered list of keys; and a further accelerator configured to compute dot products of segments of the attention scores with value elements of respective segments of values from a list of values from the key value pairs to generate an attention matrix.

Abstract: Disclosed is a method, system, and computer program product for determining solvency of a digital asset exchange system. The method includes identifying a plurality of blockchain addresses corresponding to a plurality of users of a digital asset exchange system, generating a first commitment to an amount of digital assets corresponding to the plurality of blockchain addresses, and generating a second commitment to a balance of each user of the plurality of users. The method also includes generating a first component of a zero-knowledge algorithm that is configured to receive, as input, the first commitment. The method further includes generating, with at least one processor, a second component of the zero-knowledge algorithm that is configured to receive, as input, the second commitment. The method further includes determining that the digital asset exchange system is solvent based on the zero-knowledge algorithm.

Abstract: Electrochemical devices, and associated materials and methods, are generally described. In some embodiments, an electrochemical device comprises an electroactive material. The electroactive material may comprise an alloy having a solid phase and a liquid phase that co-exist with each other. As a result, such a composite electrode may have, in some cases, the mechanical softness to permit both high energy densities and an improved current density as compared to, for example, a substantially pure metal electrode.

Abstract: In one aspect, a method is provided herein of preparing a drug delivery device, the drug delivery device having a body with at least one fluid duct being open along a first face of the body, the at least one fluid duct for conveying drug from at least one reservoir to a needle configured for injection into a patient, the method including: providing a barrier across the first face of the body to at least cover the at least one fluid duct, wherein the barrier is ultraviolet transmissive; and, exposing the first face of the body to ultraviolet radiation so as to allow the ultraviolet radiation to pass through the barrier and decontaminate the at least one fluid duct.

Abstract: Kubeflow network protocol compatibility is implemented by modifying a manifest of a first component in a Kubeflow manifest bundle to replace an alphanumeric address within each service discovery specification with a domain name, modifying a manifest of a second component in the Kubeflow manifest bundle to replace a first network protocol identity within each application network binding specification with a second network protocol identity, and applying the manifest of the first component and the manifest of the second component within a network operating in accordance with a second network protocol.

Abstract: A vehicle control system includes a vehicle with a vehicle controller and an electric drive motor, and a portable user device. The portable user device includes a user interface and processor configured to perform a verification process to verify that the portable user device has access to the vehicle, wirelessly connect to the vehicle via a wireless transceiver of the portable user device in response to the portable user device being verified, display a control interface for the vehicle on the user interface of the portable user device in response to connecting to the vehicle, receive an input through the control interface regarding operation of the electric drive motor, and provide a command to the vehicle controller based on the input to facilitate remote operation of the electric drive motor.

Abstract: A traffic generation tool is provided for simulating a multi-tiered application for network validation. A multi-tiered application can include at least one frontend service and multiple backend services. The traffic generation tool can load configuration files that specify the behavior of each endpoint within the frontend and backend services of the multi-tiered application. The traffic generation tool can direct a client to send a request to the frontend service. The traffic generation tool can, in response to receiving the request at the frontend service, sequence a chain of additional requests using one or more different network communications protocols to the backend services.

Abstract: The present disclosure relates to a ULBP6 binding protein that inhibits the interaction between ULBP6 and NKG2D, and methods of treating cancer with said ULBP6 binding protein.

Abstract: Provided herein are optical fiber arrays and optical assemblies included optical fiber arrays. The optical fiber array includes a fiber array chip that has first optical connections disposed on a first edge of the fiber array chip and second optical connections disposed on a second edge of the fiber array chip. Optical fibers are coupled to the first optical connections. Active devices (e.g., photonic and/or electronic devices) are disposed on the fiber array chip. The optical fiber array is removably, optically couplable to another optical component such as a photonic integrated circuit.

Abstract: Processing within a computing environment is facilitated using a corpus processing system to assess and enhance quality of a corpus of unstructured documents for a specified task. The processing includes referencing, by a corpus processing engine, the corpus of unstructured documents to obtain unstructured document data, and applying, by a corpus quality metrics engine, a set of quality metrics to the document data to obtain a set of quality metric scores. Further, the process includes automatically selecting, by a quality metric selection engine, a subset of task-relevant quality metrics using the quality metric scores and the specified task, and automatically transforming, at least in part, multiple documents of the corpus to remediate one or more identified issues with the documents. The automatically transforming results in remediated documents tuned for the specified task, which are provided for the specified task to be performed.

Abstract: The present disclosure relates to a method for estimating heights of defects in a wafer. The method comprises creating an un-calibrated 3D model of a defect in a wafer, determining one or more attributes associated with the un-calibrated 3D model, transforming the un-calibrated 3D model to a calibrated 3D model, and estimating a height of the defect using the calibrated 3D model. Creating an un-calibrated 3D model corresponds to a defect present in a wafer based on a plurality of Scanning Electron Microscope (SEM) images of the defect. Transforming the un-calibrated 3D model to a calibrated 3D model uses a scaling factor corresponding to the determined one or more attributes associated with the un-calibrated 3D model. A height of the defect is estimated based on the calibrated 3D model of the defect.

Abstract: Techniques of authenticating a first device of a user to a second device are disclosed. The method enables the second device to perform authentication using a biometric template stored on the first device and a biometric measurement. Homomorphic encryption may be used by the first device to encrypt the biometric template and the second device to determine an encrypted similarity metric between the biometric template and the biometric measurement. The second device can also determine an encrypted code using an authentication function and the encrypted similarity metric. The second device sends the encrypted code and the encrypted similarity metric to be decrypted by the first device. The second device can receive a response from the first device, indicating whether a decrypted similarity metric exceeds a threshold; and whether the decrypted code matches a test code. The second device can then authenticate the user based on the response.

Abstract: A method for controlling a dual fuel engine system includes determining a friction power loss amount of an internal combustion engine of the dual fuel engine system, where the friction power loss amount is based on an engine speed of the internal combustion engine and a friction torque estimate. The method also includes determining an accessory power loss amount of a power of the internal combustion engine, where the accessory power loss amount is based on the engine speed and an accessory torque estimate. The method further includes estimating a net engine power amount based on the accessory power loss amount and a brake power amount of the internal combustion engine, estimating an indicated diesel power, and estimating, based on the estimated net engine power, a first indicated engine power and a first gas power.