Abstract: Systems and methods for embodiments of artificial intelligence systems for identity management are disclosed. Embodiments of the identity management systems disclosed herein may support the correlation of identities determined authoritative source systems with uncorrelated accounts within an enterprise using artificial intelligence techniques.

Abstract: Methods and systems disclosed herein describe obfuscating plaintext cryptographic material stored in memory. A random location in an obfuscation buffer may be selected for each byte of the plaintext cryptographic material. The location of each byte of the plaintext cryptographic material may be stored in a position tracking buffer. To recover the scrambled plaintext cryptographic material, the location of each byte of the plaintext cryptographic material may be read from the position tracking buffer. Each byte of the plaintext cryptographic material may then be read from the obfuscation buffer and written to a temporary buffer. When each byte of the plaintext cryptographic material is recovered, the plaintext cryptographic material may be used to perform one or more cryptographic operations. The scrambling techniques described herein reduce the likelihood of a malicious user recovering plaintext cryptographic material while stored in memory.

Abstract: A coated tubular construct for biological and industrial applications includes a plurality of channels, where each channel is radially surrounded by a wall comprising a first polymer, and a conformal coating comprising a second polymer is disposed on an outer and/or an inner surface of each wall. A method of producing a tubular construct includes 3D printing a template structure comprising a sacrificial material and a photoinitiator, and immersing the template structure in a first prepolymer solution comprising a first prepolymer and a co-initiator. During the immersion, the template structure is exposed to light, and the first prepolymer undergoes radical polymerization to conformally coat the template structure with the first polymer, forming a coated template. The sacrificial material is removed from the coated template, and a tubular construct comprising the first polymer is formed.

Abstract: A receiver receives communications over a communication channel, which may distort an incoming communication signal. In order to counter this distortion, the frequency response of the receiver is manipulated by adjusting several parameters. Each parameter controls at least a portion of the frequency response of the receiver. The optimal values for the parameters are determined by modifying an initial set of values for the parameters through one or more stochastic hill climbing operations until a performance metric associated with the receiver reaches a local optimum. The modified values are displaced through one or more mutation operations. The stochastic hill climbing operations may subsequently be performed on the mutated values to generate the final values for the parameters.

Abstract: Technologies for ribbon field-effect transistors with variable nanoribbon channel dimensions are disclosed. In an illustrative embodiment, a stack of semiconductor nanoribbons are formed, with each semiconductor nanoribbon having a source region, a channel region, and a drain region. Some or all of the channel regions can be selectively narrowed and/or thinned, allowing for the drive and/or leakage current to be tuned. In some embodiments, one or more of the semiconductor nanoribbons near the top of the stack can be narrowed and/or thinned. In other embodiments, one or more of the semiconductor nanoribbons at or closer to the bottom of the stack can be narrowed and/or thinned.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for a content acquisition system to recommend for acquisition a subset of content items selected from a set of content items available for purchase in relation to a content recommendation system currently used in a media environment. The content acquisition system may include a content recommendation system simulator to estimate an impact function value for a potential subset of content items of the set of content items available for purchase based on the currently used content recommendation system. Afterwards, an acquisition recommender can recommend for acquisition a subset of content items based on an optimized objective function value calculated based on an optimization model while meeting one or more budget constraints.

Abstract: Systems, methods, and computer-readable media are disclosed for dynamic voice search transitioning. Example methods may include receiving, by a computer system in communication with a display, a first incoming voice data indication, initiating a first user interface theme for presentation at a display, wherein the first user interface theme is a default user interface theme, and receiving first voice data. Example methods may include sending the first voice data to a remote server for processing, receiving an indication from the remote server to initiate a second user interface theme, and initiating the second user interface theme for presentation at the display.

Abstract: Technologies for ribbon field-effect transistors with variable nanoribbon numbers are disclosed. In an illustrative embodiment, a stack of semiconductor nanoribbons is formed, with each semiconductor nanoribbon having a source region, a channel region, and a drain region. Some or all of the channel regions can be selectively removed, allowing for the drive and/or leakage current to be tuned. In some embodiments, one or more of the semiconductor nanoribbons near the top of the stack can be removed. In other embodiments, one or more of the semiconductor nanoribbons at or closer to the bottom of the stack can be removed.

Abstract: Systems and methods are described for generating and implementing pulse-shaping filters for efficient utilization of limited spectral resources in wireless communication systems. Wireless communication systems operating at high spectral efficiency conventionally use pulse shaping filters that rely on Nyquist waveforms for good main lobe performance with low inter-symbol interference (ISI) power. Conventional uses of non-Nyquist waveforms typically involve an orthogonalization process to convert those non-Nyquist waveforms to Nyquist waveforms for ISI free performance. Embodiments of pulse shaping filters described herein generate a non-Nyquist partial response (NNPR) transmit filter and/or matched receive filter based on applying a tunable second-weighted orthogonalization to a tunable first-weighted non-Nyquist waveform to obtain a pulse-shaping waveform with parametric control over throughput and power penalty.

Abstract: A system for bulk updating resource data of parameters included in a view is provided. The system includes at least one processor configured to: receive a user request to bulk import data in a file including rows of the data, each row corresponding to a different instance of the view; make an import data API call to bulk import the data into one or more tables to which the data of the parameters is to be saved; make a save data API call to update existing resource data of the parameters, stored in the one or more tables, with the data included in the file; and update, in the one or more tables, the existing resource data of the parameters for the plurality of instances with the data included in the file, wherein the import data save data APIs are generic across a plurality of views and tables.

Abstract: The present disclosure relates to peer-to-peer (P2P) secure mode authentication. A secondary client device can request access to an enterprise resource. The secondary client device can establish a P2P communication channel with a primary client device during a P2P secure mode. The secondary client device can determine a proximity of the computing device to the client device and generate proximity data based at least in part on the proximity of the computing device to the client device. The secondary client device can receive an authorization to access the enterprise resource based at least in part on the proximity data and access the enterprise resource by loading the enterprise resource within a sandboxed environment.

Abstract: A method for mixed precision quantization of an artificial intelligence (AI) model by an electronic device is included. The method includes performing, by the electronic device, perturbation in weights of each layer of a plurality of layers of the AI model for a pre-defined number of times, determining, by the electronic device, a change in an output of each layer of a plurality of layers of the AI model based on a perturbation in weights of each layer of the plurality of layers, determining, by the electronic device, a sensitivity metric for each layer of the plurality of layers of the AI model as a measure of the change in the output of each layer, assigning, by the electronic device, a bit-precision to each layer of the plurality of layers of the AI model based on the determined sensitivity metric, and performing, by the electronic device, the mixed precision quantization of the AI model using the bit-precision assigned to each layer of the plurality of layers of the AI model.

Abstract: A system for automated skill forecast and fulfillment in an enterprise environment is disclosed. Based on the received inputs from enterprise database comprising solution/customer information, service lines information, technical skills and job description, the system creates technical skill clusters and Bill of Materials. By mapping the technical skill clusters, Bill of Materials and role demand using Artificial Intelligence (AI) engine based on proficiencies, the system generates stock keeping units (SKUs) which is used as building blocks, supported by future-ready taxonomy for skill forecast and fulfilment, thereby achieving increased accuracy and efficiency in skill forecasting and effective fulfillment for an enterprise.

Abstract: Described herein are fatty acid-bifunctional degrader compounds, their various targets, their preparation, pharmaceutical compositions comprising them, and their use in the treatment of conditions, diseases, and disorders mediated by various target proteins.

Abstract: In accordance with described techniques for PE-centric all-to-all communication, a distributed computing system includes processing elements, such as graphics processing units, distributed in clusters. An all-to-all communication procedure is performed by the processing elements that are each configured to generate data packets in parallel for all-to-all data communication between the clusters. The all-to-all communication procedure includes a first stage of intra-cluster parallel data communication between respective processing elements of each of the clusters; a second stage of inter-cluster data exchange for all-to-all data communication between the clusters; and a third stage of intra-cluster data distribution to the respective processing elements of each of the clusters.

Abstract: Disclosed are systems and methods for leader node election, comprising a cluster system including a plurality of nodes, a node registry, wherein nodes are configured to transmit registration requests to the node registry, receive node data is response, and to determine a leader node based on the earliest registered node, and wherein the leader node is configured to dynamically allocate data slots between the plurality of nodes, and each of the nodes are configured to store data associated with allocated data slots in an in-memory least recently used component and data associated with all of the data slots in a persistent storage component.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting utterances of a key phrase in an audio signal. One of the methods includes receiving, by a key phrase spotting system, an audio signal encoding one or more utterances; while continuing to receive the audio signal, generating, by the key phrase spotting system, an attention output using an attention mechanism that is configured to compute the attention output based on a series of encodings generated by an encoder comprising one or more neural network layers; generating, by the key phrase spotting system and using attention output, output that indicates whether the audio signal likely encodes the key phrase; and providing, by the key phrase spotting system, the output that indicates whether the audio signal likely encodes the key phrase.

Abstract: A method, performed by at least one processor, for adding user-defined custom fields to a user interface (UI) view of a previously-developed application, includes: outputting a first screen for creating or editing a UI view of the previously-developed application; receiving a user selection to add a new user input field to the UI view; and storing one or more parameters of the new user input field in association with a reserved field of a reserved database of the previously-developed application, such that values input to the new user input field during execution of the user interface view are saved to the reserved field. The previously-developed application includes a plurality of predefined user input fields predefined during application development, a corresponding plurality of predefined database fields mapped thereto, and the reserved database comprising a predetermined number of reserved fields for mapping to new user input fields added post-development.

Abstract: A method of performing speech recognition using a two-pass deliberation architecture includes receiving a first-pass hypothesis and an encoded acoustic frame and encoding the first-pass hypothesis at a hypothesis encoder. The first-pass hypothesis is generated by a recurrent neural network (RNN) decoder model for the encoded acoustic frame. The method also includes generating, using a first attention mechanism attending to the encoded acoustic frame, a first context vector, and generating, using a second attention mechanism attending to the encoded first-pass hypothesis, a second context vector. The method also includes decoding the first context vector and the second context vector at a context vector decoder to form a second-pass hypothesis.

Abstract: Methods and devices for selecting an edge application server (EAS) to service a user equipment (UE). One exemplary method incudes determining that a current protocol data unit (PDU) session of an application being executed by a UE is being serviced by a first EAS, determining that the first EAS is no longer suitable to service the application, selecting a second EAS to service the application and instructing the UE to use the second EAS for future PDU sessions for the application.