Abstract: A computing device collects, during an initial portion of a charging session of an electric vehicle (EV), a plurality of samples indicative of an amount of charge transferred from an EV charger to the EV during a respective time interval; constructs, using the collected plurality of samples, an estimated charge profile for the EV; selects, from among a plurality of prestored charge profiles, a prestored charge profile similar to the estimated charge profile; and adjusts a charge parameter and/or a time estimate associated with the charging session using the selected prestored charge profile.

Abstract: A charger for an electric vehicle includes a battery system; a high-voltage direct current (HVDC) bus configured to connect the charger to an external battery system; a DC-to-DC converter; and a switching component configured to (i) in a first operational state, connect the battery system to the HVDC bus directly so as to provide a parallel electric connection to the external battery system, and (ii) in a second operational state, connect the battery system to the HVDC bus via the DC-to-DC converter to align a voltage across the battery system with a voltage across the HVDC bus

Abstract: Embodiments of the present technology provide transceivers intelligently designed to reduce voltage kickback and I/O pad capacitance. A transceiver of the present technology can reduce voltage kickback by dynamically tracking I/O pad voltage at gate terminals of reference voltage signal-receiving MOS devices of a voltage mode cascoded driver implemented in the transceiver. By tracking I/O pad voltage, embodiments can reduce/avoid rapidly changing voltage differentials across the reference voltage signal-receiving MOS devices-thereby reducing voltage kickback. By reducing voltage kickback, embodiments can maintain reliability and improve performance for the transceiver. Tracking I/O pad voltage at the gate terminals of the reference voltage signal-receiving MOS devices can also reduce I/O pad capacitance of the transceiver-thereby improving performance for the transceiver.

Abstract: Systems and methods for using a generative artificial intelligence (AI) model using a multi-turn process to generate a suggested draft reply to a selected message. A first turn of the multi-turn process uses a shorter prompt including at least a portion of the body of the selected message and that requests multiple draft replies from the AI model. The resulting AI-generated draft replies are shortened, summarized, and/or otherwise converted into a plurality of shortened summaries that are presented as reply options to a user. Upon selecting a shortened summary, a more robust prompt is generated in a second turn with the AI model with the selected reply option to generate a more complex suggested draft reply to the selected message. Additionally, various customization options are provided, which when selected, reframe a query presented to the AI model to generate a more relevant and personalized response.

Abstract: The present disclosure relates to a pre-5th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4th-Generation (4G) communication system such as long term evolution (LTE). Methods and systems for optimizing computation of log-likelihood ratio (LLR) for decoding modulated symbols. A method disclosed herein involves receiving at least one symbol transmitted from at least one device, wherein the received at least one symbol is encoded and modulated symbol including a plurality of data bits. The method further includes computing a log-likelihood ratio (LLR) of each bit in the received at least one symbol for decoding the received at least one symbol using a centroid method that involves exploiting a symmetry of a constellation of code words and/or a uncertainty region defined on a constellation of code words.

Abstract: Various embodiments include methods for controlling memory utilization to accommodate changes in memory accessibility due to memory refreshes include controlling bandwidth of at least one processor based on a refresh rate of a memory. Some embodiments may include receiving the refresh rate of the memory at a memory controller, and determining whether the refresh rate of the memory violates a high or low memory refresh rate threshold, sending an instruction configured to reduce or restore the bandwidth of the at least one processor in response to the determination. In some embodiments the methods may be performed by a quality of service manager, which may be part of a memory controller.

Abstract: An apparatus for audio communication includes a memory configured to receive audio data from a user of a voice communication, and one or more processors in communication with the memory. The one or more processors are configured to receive the audio data for the voice communication, which includes voice data of the user and background audio data. The processors are further configured to classify the background audio data into a plurality of types of background audio data, determine to not suppress a subset of the plurality of types of background audio data, process the audio data to not suppress the subset of the plurality of types of background audio data to generate output audio data, and transmit the output audio data.

Abstract: The present invention relates to a continuous negative ion based indoor air and surface disinfection system (100) incorporating a nano-composite photo-catalyst that will activate photo-catalytic oxidation at a short-wavelength ultraviolet (UV) light energy. The continuous negative ion based indoor air and surface disinfection system incorporates at least one ultraviolet (UV) light source (104); a photo-catalytic oxidation material (106) which leads to production of oxygen and hydroxyl free radicals when illuminated with ultraviolet (UV) light source in the presence of water vapors. The photo-catalytic oxidation material (106) consisting of a mesh with TiO2 nano-spindled structures (202) placed over aluminium foil (204) coated with a composite mixture of ZnO—TiO2.

Abstract: The present disclosure is directed to systems and methods for generating images using short tau inversion recovery, ultrashort echo time (STIR-UTE) MRI sequences. The STIR-UTE MRI sequences can be used to generate images that can differentiate between regions that are at temperatures that are either lethal or non-lethal to cell life. Thus, these sequences can be beneficial for implementations such as in monitoring cryoablation procedures.

Abstract: Disclosed are techniques for fusing camera and radar frames to perform object detection in one or more spatial domains. In an aspect, an on-board computer of a host vehicle receives, from a camera sensor of the host vehicle, a plurality of camera frames, receives, from a radar sensor of the host vehicle, a plurality of radar frames, performs a camera feature extraction process on a first camera frame of the plurality of camera frames to generate a first camera feature map, performs a radar feature extraction process on a first radar frame of the plurality of radar frames to generate a first radar feature map, converts the first camera feature map and/or the first radar feature map to a common spatial domain, and concatenates the first radar feature map and the first camera feature map to generate a first concatenated feature map in the common spatial domain.

Abstract: One example discloses a communication device, includes: a coexistence engine configured to be coupled to an aggressor radio and a victim radio; wherein the aggressor radio is configured to transmit messages; wherein the victim radio is configured to receive messages; wherein the aggressor and victim radios share a communication resource; and wherein the coexistence engine is configured to detect whether an interference metric between the aggressor radio and the victim radio is violated each time the aggressor radio transmits a transmit message through the communications resource.

Abstract: Methods, systems, apparatuses, and computer program products for providing malware protection on a UAV are disclosed. In a particular embodiment, a method of providing malware protection on a UAV includes a malware defense controller initiating, on an unmanned aerial vehicle (UAV) in response to a malware defense event, a malware defense scan of at least one file stored on the UAV. In this embodiment, the malware defense controller also implements, in dependence upon a result of a malware detection analysis, a malware defense operation.

Abstract: A system comprising processing circuitry a memory storing instructions that cause the system to detect a code change to source code included in a code repository, identify a relationship between the code change and an associated product feature, determine one or more dependent product features impacted by the code change, select a set of test cases including a subset of test cases related to the associated product feature and a subset of test cases related to the one or more dependent product features, execute the set of test cases, and update the code-to-feature mapping using results of executing the set of test case.

Abstract: Systems and methods for using a generative artificial intelligence (AI) model using a multi-turn process to generate a suggested draft reply to a selected message. A first turn of the multi-turn process uses a shorter prompt including at least a portion of the body of the selected message and that requests multiple draft replies from the AI model. The resulting AI-generated draft replies are shortened, summarized, and/or otherwise converted into a plurality of shortened summaries that are presented as reply options to a user. Upon selecting a shortened summary, a more robust prompt is generated in a second turn with the AI model with the selected reply option to generate a more complex suggested draft reply to the selected message. Additionally, various customization options are provided, which when selected, reframe a query presented to the AI model to generate a more relevant and personalized response.

Abstract: Methods for performing a calibration process for outward-facing cameras on devices such as head-mounted display devices are disclosed. Extrinsic parameters of the camera are first estimated using inputs to the calibration process such as information from an inertial measurement unit and points of interest within images captured by the camera that are tracked with time. Then, extrinsic and intrinsic parameters are concurrently determined in an optimization problem such that updated values of said parameters may be stored and used by applications that run on the device and make use of the camera. The calibration process may be extended to concurrently calibrate multiple cameras based, at least in part, on information from the inertial measurement unit that is local to the camera.

Abstract: Systems and methods for improving the power, performance, and area (PPA) for a voltage mode driver and on die termination (ODT). A voltage mode driver having first and second circuits in a pulldown design. The first circuit has a plurality of nMOS devices in parallel, the plurality of nMOS devices being common to a first resistor. The second circuit is in parallel with the first circuit and has an nMOS device in series with a second resistor. The second circuit is configured to be enabled when the pulldown impedance of the first circuit, with the second circuit disabled and all of the nMOS devices of the first circuit turned on, is greater than a desired pulldown impedance. The voltage mode driver may also be a pullup design, or have both pulldown and pullup stages.

Abstract: Disclosed are techniques for employing deep learning to analyze radar signals. In an aspect, an on-board computer of a host vehicle receives, from a radar sensor of the vehicle, a plurality of radar frames, executes a neural network on a subset of the plurality of radar frames, and detects one or more objects in the subset of the plurality of radar frames based on execution of the neural network on the subset of the plurality of radar frames. Further, techniques for transforming polar coordinates to Cartesian coordinates in a neural network are disclosed. In an aspect, a neural network receives a plurality of radar frames in polar coordinate space, a polar-to-Cartesian transformation layer of the neural network transforms the plurality of radar frames to Cartesian coordinate space, and the neural network outputs the plurality of radar frames in the Cartesian coordinate space.

Abstract: Methods, systems, apparatuses, and computer program products for fulfilling a request associated with operational aspects of an unmanned aerial vehicle (UAV) mission are disclosed. In a particular embodiment, fulfilling a request associated with operational aspects of a UAV mission includes a fulfillment controller presenting to a first set of providers of a plurality of providers, a request for offers to perform a first set of operational aspects of a UAV mission. In this embodiment, the fulfillment controller also includes receiving from each provider of a second set of providers of the plurality of providers, an offer to perform a second set of operational aspects of the first set of operational aspects of the UAV mission. In addition, the fulfillment controller also selects from a first set of offers received from the second set of providers, a first offer to accept.

Abstract: Methods, systems, apparatuses, and computer program products for automated preflight evaluation of an unmanned aerial vehicle (UAV) configuration are disclosed. In a particular embodiment, automated preflight evaluation of an UAV configuration includes a preflight controller retrieving information about a UAV configuration selected to perform a mission in accordance with one or more mission parameters. In this embodiment, the preflight controller uses the retrieved information to assess an ability of the UAV configuration to perform the mission in accordance with the one or more mission parameters.

Abstract: Improved voltage level shifters are disclosed capable of achieving substantially higher data transfer speeds with reduced static current than existing cross-coupled voltage level shifters. The voltage level shifters disclosed herein include first stage that translates input voltage signals received from a core circuitry in a first voltage domain to intermediate output voltage signals an intermediate voltage domain, and second stage circuitry that translates the intermediate output voltage signals received from the first stage circuitry in the intermediate voltage domain to output voltage signals in a second voltage domain. The disclosed voltage level shifters are scalable to support various logic voltage levels in the second voltage domain.