Abstract: Power tools that include a housing, a motor supported by the housing, an inverter positioned between and electrically connected to a battery pack interface and the motor, a gate driver connected to the inverter, a rotational position detector configured to detect a position of the motor, a controller configured to control the gate driver, and a short circuit detection circuit. The short circuit detection circuit is configured to monitor the current in the inverter, compare the current in the inverter to a first current threshold, determine, in response to the current in the inverter being greater than or equal to the first current threshold, whether the position of the motor is changing based on a signal from the rotational position detector, and control, in response to the position of the motor not changing, a switch of the short circuit detection circuit to disable the gate driver.

Abstract: An electronic block includes multiple independent Phase-Locked Loops (PLLs) and a switch matrix. Each PLL has an input path and an output path. The switch matrix is operable to concurrently connect a respective signal on the output path of each PLL to the input path of another PLL. In an embodiment, each of the respective signals on the output paths is a corresponding frequency-correction signal generated by a low-pass filter (LPF) in the corresponding PLL. In an embodiment, each PLL includes a frequency-correction signal combiner to combine the frequency-correction signals received from any of the other PLLs with its own frequency-correction signal to form a combined frequency-correction signal. The combined frequency-correction signal is provided to a controlled oscillator in the PLL to generate an output clock of the PLL based on the combined frequency-correction signal. The frequency-correction signals may be analog or digital signals.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to implement parallel architectures for neural network classifiers. An example non-transitory computer readable medium comprises instructions that, when executed, cause a machine to at least: process a first stream using first neural network blocks, the first stream based on an input image; process a second stream using second neural network blocks, the second stream based on the input image; fuse a result of the first neural network blocks and the second neural network blocks; perform average pooling on the fused result; process a fully connected layer based on the result of the average pooling; and classify the image based on the output of the fully connected layer.

Abstract: A saddle type two-wheeled vehicle includes: a frame extending along a vehicle longitudinal axis; a swing arm journaled to the frame and adapted to support a rear wheel; and a drive system including one or more drive sources configured to deliver a driving force to the rear wheel. The one or more drive sources include a first drive source and a second drive source, the first drive source comprises at least one mounting portion integrally formed to at least a portion of the first drive source, at least one mounting portion is configured for removably mounting the first drive source on at least a portion of the swing arm, and the second drive source is detachably mounted on the rear wheel.

Abstract: Embodiments have two approaches as follows: (1) Embedded PCB-based fabrication and (2) PCB assembly-based fabrication. An embedded printed circuit board (PCB) type approach involves the creation of a space of coolant direct interconnection, using immersion cooling to link on any type of power semiconductor device hot spots to convectively and evaporatively cool directly. This means fabricating PCB embedded channels, to utilize the microgap between die and PCB as the cooling channel. A printed circuit board (PCB) assembly embodiment includes a PCB having at least one heat generating component. A lid is mounted to the PCB, wherein the lid defines a cooling path therein extending in a coolant flow direction from an inlet end of the cooling path to an outlet end of the cooling path.

Abstract: A computer that includes a processor and a memory, the memory includes instructions executable by the processor to estimate a relative rotation between a ground view image and an aerial view image with a rotation estimator. A ground feature map and a confidence map corresponding to the ground view image are projected to an aerial feature map corresponding to the aerial view image according to the relative rotation to create a projected overhead-view feature map. A translation difference is determined between the projected overhead-view feature map and the aerial feature map using spatial correlation. A high-definition estimated three degree-of-freedom pose of a ground view camera is determined based on the relative rotation and the translation difference.

Abstract: A system and method are provided for enabling generation of Subscription Concealed Identifier (SUCI) in 5G network. The system performs encryption of a plain text associated with Subscription Permanent Identifier (SUPI) based on an Authenticated Encryption with Associated Data (AEAD)-Advanced Encryption Standard in Galois/Counter Mode (AES-GCM), an Initialization Vector (IV), and Additional authenticated data (AAD). The system obtains public key, cipher text and Message Authentication Code (MAC) tag in parallel process by the AEAD AES-GCM and Elliptic Curve Integrated Encryption Scheme (ECIES) process along with one or more parameters for enabling generation of the SUCI in the 5G network. The one or more parameters comprise at least one of a SUPI type, a Mobile Country Code (MCC), a Mobile Network Code (MNC), or/and a protection scheme ID. Finally, system transmits the generated SUCI in response to GET IDENTITY command received by the UICC.

Abstract: A summary generation and summary selection system is disclosed that is capable of automatically evaluating multiple summaries generated for content and selecting a single summary that is deemed to be the “best” among the multiple generated summaries. The system includes capabilities to use multiple different selection techniques to select the best summary from multiple generated summaries. A first selection technique involves identifying entities and entity relationships from the content to be summarized and selecting a summary from multiple summaries generated for the content based on the entities and entity relationships identified in the content. A second selection technique involves determining a set of questions that are answered by each summary. The technique then selects a summary based upon the set of questions answered by each summary. The system then outputs the selected summary as the summary for the content.

Abstract: In general, techniques are described for extending network connectivity software utilities, such as traceroute, to provide complete visibility into a network topology between a source device and a destination device, even when an intermediate network device may be actively utilizing multiple network links when forwarding packets toward the destination. In one example, a network device coupled to a plurality of paths and positioned between a source network device and destination network device may receive a traceroute packet. The network device may also, for each of the plurality of paths, modify a payload of the traceroute packet to include a respective identifier for a corresponding path of the plurality of paths to construct a respective modified traceroute packet for the corresponding path. The network device may also forward the respective modified traceroute packets on the corresponding paths.

Abstract: Techniques for time-bound hyperparameter tuning are disclosed. The techniques enable the determination of optimized hyperparameters for a machine learning (ML) model given a specified time bound using a three-stage approach. A series of trials are executed, during each of which the ML model is trained using a distinct set of hyperparameters. In the first stage, a small number of trials are executed to initialize the algorithm. In the second and third stages, a certain number of trials are executed in each stage. The number of trials to run in each stage are determined using one or more computer-implemented techniques. The computer-implemented techniques can also be used to narrow the hyperparameter search space and the feature space. Following the third stage, a set of optimized hyperparameters is adopted based a predefined optimization criterion like minimization of an error function.

Abstract: The present disclosure relates to a user device, a base station, a method for data transmission/reception by a user device, and a method for data reception/transmission by a base station. The user device comprises circuitry which, in operation, receives a parameter defining a rule for assigning to ports respective resources for carrying reference signals, generates, based on a mapping known to the user device and the base station, a set of layer-to-port mapping combinations, and receives, from the base station, control information indicating one of the set of layer-to-port mapping combinations which is to be applied for data transmission and/or reception.

Abstract: A system may use a large language model (“LLM”) to generate a data pipeline. The system can receive a natural language query and a selection of a plurality of data sets for generating a data pipeline and generate a prompt comprising at least: the natural language query, indications of the plurality of data sets, an indication of a format of a first computer language, and an indication of available data transformations. The system can transmit the prompt to an LLM and receive, from the LLM, a response to the prompt in the format of the first computer language. The system can parse the response in the first computer language to identify at least an indication of one or more recommended data transformations. The system can generate, based on the indication of the one or more recommended data transformations, the data pipeline using a second computer language.

Abstract: Embodiments are disclosed for recoloring a target graphic using color palettes generated using a stochastic color mapping process. One method of recoloring a target graphic using the stochastic color mapping process includes obtaining a target graphic to be recolored and a source color palette defining source colors for recoloring the target graphic. A target color set of target colors is extracted from the target graphic. The method includes computing a mapping to map source colors of a source color palette to target colors extracted from a target color set of the target graphic based on a transition probability. A destination color palette of destination colors is determined based on the mapping. The target graphic is modified by recoloring at least one object in the target graphic with a destination color from the destination color palette.

Abstract: Apparatuses, methods, and systems for positioning reporting enhancements over unlicensed bands. A method in a user equipment (UE) includes determining a channel occupancy time (COT) value; determining a time to a next positioning measurement report, determining a maximum COT associated with the determined COT, and generating and transmitting a positioning measurement report at the determined COT responsive to the maximum COT being at least greater than a combination of a window size of a previously determined positioning reference signal (PRS), the determined time to the next positioning measurement report, and a predetermined reporting window size. The method also includes transmitting the generated positioning measurement report at a next available COT responsive to a time instance in which the positioning measurement report is ready and the determined COT meeting a predefined position latency requirement responsive to the maximum COT not being at least greater than the combination.

Abstract: This disclosure relates to techniques for performing multi-transmission and reception point operation in a wireless communication system. A plurality of transmission control indication states may be indicated for future use, e.g., using one or more separately identified lists. A subset of the indicated states may be activated. One or more states of the subset may be used for performing multi-transmission and reception point operation in a single downlink control information mode.

Abstract: A summary generation system is disclosed that is configured to generate a summary for content to be summarized by identifying relevant chunks of information from the content to be summarized using a large language model (LLM) and a set of questions. The set of questions enable the system to identify and retrieve relevant chunks of information. Each question undergoes a translation or transformation process to generate multiple question variants for each question. The multiple question variants are used by the system to optimize the search to obtain relevant chunks of information. Then, using the multiple question variants and an LLM, the system extracts information (i.e., answers) from the relevant chunks of information. The summary generation system then collates the answers to create an accurate and comprehensive summary for the content to be summarized.

Abstract: A user-to-entity communication channel is established for providing increased information regarding entities to the general population. Ambassadors for a entity are identified and selected based on location history of devices for which location reporting is authorized. The ambassadors may provide information regarding the entity to the public through the communication channel. Communications between the users and ambassadors may be reported to the entity owner for analysis by the entity owner.

Abstract: A method of controlling an electronic device for enabling a context transfer from a virtual session to an environment external to the virtual session, includes detecting at least one user in an a virtual session; based on detecting the at least one user, obtaining a context of at least one virtual device content present in the virtual session, based on detecting the at least one user; obtaining at least one user interest related with the at least one virtual device content using at least one user input in the virtual session; obtaining correlation information between the at least one user interest and at least one content capability of a plurality of real world user devices of the at least one user; and providing at least one real world user device, among the plurality of user devices, to the at least one user for transferring the context of the at least one virtual device content based on the correlation information.

Abstract: The present disclosure provides relates to methods and apparatus for handover optimization in a 5G context using reinforcement learning (RL). In contrast to the conventional handover methods, handovers between base-stations (BSs) are controlled using a centralized RL-based machine learning (ML) agent. This ML agent handles the radio measurement reports from the UEs and chooses appropriate handover actions in accordance with the RL machine learning framework to maximize a long-term utility.

Abstract: Some embodiments address technical challenges arising from efforts to identify and mitigate security risks, in particular but not only, risks that sensitive data will be exfiltrated. Some embodiments provide or utilize an anomaly detector which is configured to detect a security anomaly in data based on at least a distribution of sensitive information type documents in a collection of documents and classifications of documents by trainable classifiers based on machine learning. Some embodiments provide or utilize a security policy generator which is configured to proactively and automatically generate security policy recommendations, rank at least two of the security policy recommendations, and present at least one top-ranked generated security policy recommendation in a user interface. Some embodiments generate a security policy in a managed computing system based on at least an anomaly score, and then configure the managed computing system according to the generated security policy.