Abstract: A device to convert a detected voltage, that is indicative of current conducted by a switching circuit, to a series of electrical pulses that is indicative of electrical power dissipated by the switching circuit responsive to the current. The device includes a transconductor circuit including a first circuit to receive a reference current and a first reference voltage, and to obtain a transconductance based on an auto-generated bias current and the reference current and the first reference voltage, where a value of the transconductance is determined by the reference current and the first reference voltage. The transconductor circuit further includes a second circuit coupled to the first circuit to receive the detected voltage, and to generate a first current based on the detected voltage and the obtained transconductance.

Abstract: Systems, devices, and methods related to temperature sensors for electronic devices are provided. An example temperature sensor device includes analog temperature sensor circuitry to generate a plurality of voltages indicative of a temperature; an analog-to-digital converter (ADC) disposed downstream of the analog temperature sensing circuitry; switched-capacitor amplifier circuitry disposed before the ADC, the switched-capacitor amplifier circuitry comprising a single-ended amplifier to amplify the plurality of voltages with respect to a common voltage; a first switch coupled between the analog temperature sensor circuitry and the switched-capacitor amplifier circuitry to provide a sampling phase and an integration phase; and digital calculation circuitry to calculate a temperature value based on the plurality of amplified voltages.

Abstract: Systems and techniques are provided for wireless communications. A process can include determining that a quantity of a plurality of Mobile Terminated (MT) calls received within a first time period is greater than a first configured threshold. A process can include determining a subset of non-verified MT calls from the plurality of MT calls based on a call verification score for each respective MT call of the plurality of MT calls received within the first time period. A process can include determining that a quantity of non-verified MT calls included in the subset is greater than a second configured threshold. A process can include performing modem-level blocking based on determining a corresponding calling party identity associated with a non-verified MT call included in the subset.

Abstract: Dynamic generation of climate projections is provided. The method comprises receiving past climate data of a first spatial resolution. The past climate data of the first spatial resolution is converted to past climate data of a second spatial resolution. A machine learning model is trained with a deep learning algorithm with a training set of the data to generate a trained model object that maps a relationship between the past climate data of the first spatial resolution and the first climate data of the second spatial resolution. The trained model object is validated with a validation set of the data. The trained model object is applied to climate projections of the second spatial resolution to generate climate projections of the first spatial resolution.

Abstract: Multi-object tracking in autonomous vehicles uses both camera data and LiDAR data for training, but not LiDAR data at query time. Thus, no LiDAR sensor is on a piloted autonomous vehicle. Example systems and methods rely on camera 2D object detections alone, rather than 3D annotations. Example systems/methods utilize a single network that is given a camera image as input and can learn both object detection and dense depth in a multimodal regression setting, where the ground truth LiDAR data is used only at training time to compute depth regression loss. The network uses the camera image alone as input at test time (i.e., when deployed for piloting an autonomous vehicle) and can predict both object detections and dense depth of the scene. LiDAR is only used for data acquisition and is not required for drawing 3D annotations or for piloting the vehicle.

Abstract: Methods and systems for connecting data with non-standardized schemas in connected graph data exchanges. For example, the system generates a custom data structure corresponding to a user identifier for a user profile that includes pointers between user profile attributes (e.g., individual fields/categories within the user profile) and existing assets in a connected graph (e.g., an existing application, software profile for an application, data set, connections, etc.). The system then connects the custom data structure corresponding to the user identifier to the existing assets in the connected graph.

Abstract: Aspects of the present disclosure relate to wireless communications, and more particularly, to techniques that may help mitigate service loss for a UE (e.g., in DSDA mode) due to temperature rise. According to certain aspects, a UE detects, while operating in a multi subscriber identity module (SIM) mode with at least a first subscriber (SUB) and a second subscriber (SUB) active on a first radio access technology (RAT), that the UE has reached a first temperature threshold less than a second temperature threshold at which the UE limits service in the first RAT and greater than a third temperature threshold associated with a temperature mitigation level. The UE then takes action to move the first SUB to a second RAT in response to the detecting.

Abstract: Systems, devices, and methods related to temperature sensors for electronic devices are provided. An example temperature sensor device includes analog temperature sensor circuitry to generate a plurality of voltages indicative of a temperature; an analog-to-digital converter (ADC) disposed downstream of the analog temperature sensing circuitry; switched-capacitor amplifier circuitry disposed before the ADC, the switched-capacitor amplifier circuitry comprising a single-ended amplifier to amplify the plurality of voltages with respect to a common voltage; a first switch coupled between the analog temperature sensor circuitry and the switched-capacitor amplifier circuitry to provide a sampling phase and an integration phase; and digital calculation circuitry to calculate a temperature value based on the plurality of amplified voltages.

Abstract: Systems and methods for detecting code duplication are disclosed. In one embodiment, a method for detecting exact code snippet duplicates may include: (1) representing, by a code duplication detection computer program, each of a plurality of code snippets in a codebase as an abstract syntax trees; (2) featurizing, by the code duplication detection computer program, the abstract syntax trees into corpus feature vectors by converting the abstract syntax tree into vector representations; (3) generating, by the code duplication detection computer program, dense feature vectors from the corpus feature vectors using a dimension reduction technique; (4) identifying, by the code duplication detection computer program, exact duplicate code snippet matches by apply density-based clustering to the dense feature vectors; and (5) tagging, by the code duplication detection computer program, the exact duplicate code snippets.

Abstract: Techniques for generating a simulated application programming interface (API) may include generating simulations of APIs that provide stateful interactions. The simulations may be generated based on API specifications and/or other API parameters (e.g. from a user). The API simulations may be deployed to individual tenancies that provide dedicated resources for the simulation. The simulations may be further secured by anonymizing or scrubbing data used in the simulation by removing non-public information from data provided for the simulation. Additionally, or alternatively, dummy data may be generated that is free of non-public information. A demo site (e.g., a mocked frontend) may be generated that facilitates access to the simulated API and allow a real-world evaluation of the simulated API by a user.

Abstract: Systems and methods for automated code analysis and tagging are disclosed. In one embodiment, a method for automated code analysis and tagging may include: (1) receiving, by a code annotation computer program executed by a computer processor, a training code snippet from a training codebase; (2) parsing, by the code annotation computer program, the training code snippet into a data structure; (3) quantifying, by the code annotation computer program, the data structure, (4) parsing, by the code annotation computer program, a docstring associated with the training code snippet into a plurality of keywords; (5) quantifying, by the code annotation computer program, the plurality of keywords; and (6) training, by the code annotation computer program, a code annotation model based on a similarity between the quantified data structure and a smoothing parameter for a Dirichlet prior smoothing estimate.

Abstract: A sign bit of a low-density parity-check (LDPC) codeword associated with a translation unit (TU) can be generated by performing an XOR operation on a RAIN drop corresponding to the TU and a raw read of the TU. The LDPC codeword can include a hard bit and three soft bits that include the sign bit. The LDPC codeword can be decoded using the hard bit and the three soft bits. A read recovery operation can be performed on the TU using the decoded LDPC codeword.

Abstract: In an example embodiment, a method of reducing SR max retransmissions in a communication network is disclosed. The method includes: accessing an SR max retransmission UE pool stored in a storage of the base station, the SR max retransmission UE pool being a list of plurality of UEs which experienced SR max retransmission. The method further includes identifying at least one UE in the SR max retransmission pool that would enter an SR max retransmission state, based on a last PUSCH uplink time period and a SR max retransmission time period associated with the at least one UE. Further, the method includes allocating a dummy UL grant to the identified at least one UE.

Abstract: Systems and methods for automated code analysis and tagging are disclosed. In one embodiment, a method for automated code analysis and tagging may include: (1) receiving, by a code annotation computer program executed by a computer processor, a training code snippet from a training codebase; (2) parsing, by the code annotation computer program, the training code snippet into a data structure; (3) quantifying, by the code annotation computer program, the data structure, (4) parsing, by the code annotation computer program, a docstring associated with the training code snippet into a plurality of keywords; (5) quantifying, by the code annotation computer program, the plurality of keywords; and (6) training, by the code annotation computer program, a code annotation model based on a similarity between the quantified data structure and a smoothing parameter for a Dirichlet prior smoothing estimate.

Abstract: A sign bit of a low-density parity-check (LDPC) codeword associated with a translation unit (TU) can be generated by performing an XOR operation on a RAIN drop corresponding to the TU and a raw read of the TU. The LDPC codeword can include a hard bit and three soft bits that include the sign bit. The LDPC codeword can be decoded using the hard bit and the three soft bits. A read recovery operation can be performed on the TU using the decoded LDPC codeword.

Abstract: Various embodiments are directed to a finger guard apparatus comprising a mounting bracket configured to be secured to a conveyor assembly such that the mounting bracket defines a first lateral side of the finger guard apparatus; a finger guard plate detachably secured to the mounting bracket; and a lock assembly that secures the finger guard plate in a locked position relative to the mounting bracket and is configured to facilitate selective detachment of the finger guard plate from the mounting bracket, the lock assembly comprising: a lock arm connected to the mounting bracket such that the lock arm is configured to move between a locked position and an unlocked position, wherein the lock arm is configured to engage the finger guard plate in the locked position; and a retention element engaged with the lock arm and configured to bias the lock arm towards the locked position.

Abstract: A sign bit of a low-density parity-check (LDPC) codeword associated with a translation unit (TU) can be generated by performing an XOR operation on a RAIN drop corresponding to the TU and a raw read of the TU. The LDPC codeword can include a hard bit and three soft bits that include the sign bit. The LDPC codeword can be decoded using the hard bit and the three soft bits. A read recovery operation can be performed on the TU using the decoded LDPC codeword.

Abstract: A three-tiered content notification system that trifurcates the content notification system into a message consumption component, a message filtering component, and a message delivery component. The message queue comprises content published to an event application programming interface (“API”) for the content notification system. By generating this queue of available content, the message filtering component may apply a batch filter on the available content as opposed to conventional per item filtering. During batch filtering, filtering criteria may be applied to all content currently in the queue. The system may rank this content such that only the highest priority and/or relevance ranking may remain in the batch. Content that is not filtered out by the system may then be sent to the message delivery component. At the message delivery component, the system may select delivery channels for the remaining content.

Abstract: Methods and systems for connecting data with non-standardized schemas in connected graph data exchanges. For example, the system generates a custom data structure corresponding to a user identifier for a user profile that includes pointers between user profile attributes (e.g., individual fields/categories within the user profile) and existing assets in a connected graph (e.g., an existing application, software profile for an application, data set, connections, etc.). The system then connects the custom data structure corresponding to the user identifier to the existing assets in the connected graph.