Abstract: The present disclosure relates to a method, a device, and a computer program product for threat notification. The method includes receiving an image indicating a first object, wherein the first object includes at least one of a vehicle and a vulnerable road user (VRU). The method further includes detecting a first threat associated with the first object based on processing of the image, and sending, in response to detection of the first threat, a notification about the first threat to at least one of the first object and a second object associated with the first object. In this way, once a threat is detected, a notification can be sent only to a specific road participant such as the first object and the second object, so that the notification can be sent and processed more accurately, and less bandwidth is used, thereby improving the communication efficiency.

Abstract: The disclosed circuit can select micro-operations specifically for converting a value in a first number format to a second number format. The circuit can include micro-operations for various conversions between different number formats, including number formats of different floating-point precisions. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed processing circuit can perform an operation with a first operand having a first number format and a second operand having a second number format by directly using the first operand in the first number format and the second operand in the second number format to produce an output result. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed circuit can interpret a bit sequence as a value based on one of multiple floating point number formats in a bias mode indicated by a bias mode indicator. The circuit can and perform an operation using the value in the bias mode. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed circuit is configured to round a value in a first number format using a random value. Using the rounded value, the circuit can convert the rounded value to a second number format that has a lower precision than a precision of the first number format. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Embodiments of the present disclosure relate to a method, a device, and a computer program product for data augmentation. The method includes generating an image embedding based on an image in an unstructured document, and generating a text embedding based on text in the unstructured document and associated with the image. The method further includes acquiring descriptive information from a storage library based on the generated image embedding and text embedding. The method further includes adding the acquired descriptive information into the unstructured document. In this way, it can be possible not only to understand and analyze the unstructured document across modalities, but also to enrich it with a characterization of multimodal data in the unstructured document, thus increasing the amount and diversity of data.

Abstract: Provided is a spinning workshop inspection method, an electronic device and a storage medium, relating to technical fields of computers. The spinning workshop inspection method includes: acquiring first image information of an inspection passage when an inspection robot inspects a first position corresponding to the first spinning box in the inspection passage; determining a second spinning box from spinning boxes when the first image information includes a first detection object; acquiring second image information of the inspection passage when the inspection robot inspects a second position corresponding to the second spinning box in the inspection passage; and determining state information of the first detection object based on the first and second image information.

Abstract: The present disclosure relates to a method, a device, and a product for searching data. The method includes: encoding a search input into a first dense vector based on a first multi-modal search model; determining, based on the first dense vector, a distilled data item corresponding to the search input from a distilled dataset corresponding to the first multi-modal search model; encoding, based on the first multi-modal search model, an original data item in an original data subset corresponding to the distilled data item in an original dataset corresponding to the distilled dataset into a second dense vector; and determining, based on the second dense vector, an original data item from the original data subset as a search result corresponding to the search input. The method for searching data according to the present disclosure can improve the efficiency and security of data storage, model reproduction, and multi-modal data management.

Abstract: Disclosed herein is a system and method for implementing a personalized ultrasound neuromodulation system and methods with neural sensing of personalized electrophysiological data, guiding ultrasound targeting and dosage using such personalized data. Specific ultrasound transducer solutions are provided for various neural targets that enable the low-intensity focused ultrasound to modulate the central nervous system and peripheral nervous systems to treat a variety of neurological and mental disorders. A portable ultrasound console device, a wearable guiding apparatus and a compact solution for effectively and safely enabling point-of-care neuromodulation, e.g., home healthcare, are provided. Further methods for ultrasound waveform customization are also described to improve effectiveness of ultrasound neuromodulation.

Abstract: A multi-element filtration vessel included spaced beams for supporting and/or aligning filtration elements from below. The filtration elements have bottom ends adapted to rest upon adjacent support beams and also to extend between them to form a cavity that can capture feed fluid and an aeration gas and conduct it into the filtration element. In another aspect, a multi-element filtration vessel has removable aerators mounted on a projection on the wall of the filtration vessel.

Abstract: This disclosure provides a method for ping pong roaming control performed by an access point (AP), a method for ping pong roaming control performed by a controller, an AP, a controller, a non-transitory computer readable storage medium and a computer program product for processing/identifying ping pong roaming. The method for ping pong roaming control, performed by an AP includes: determining association switching behaviors of a station (STA) based on association and/or disassociation behaviors of the STA; identifying one or more connection instability events of the STA based on the association switching behaviors of the STA; and reporting at least one of the one or more connection instability events of the STA to a controller for the controller to identify a ping pong roaming event of the STA between multiple APs.

Abstract: Block data load with transpose techniques are described. In one example, an input is received, at a control unit, specifying an instruction to load a block of data to at least one memory module using a transpose operation. Responsive to the receiving the input by the control unit, the block of data is caused to be loaded to the at least one memory module by transposing the block of data to form a transposed block of data and storing the transposed block of data in the at least one memory.

Abstract: Systems are provided for a split differential housing. The split differential housing is bisected at an axis on a vertical plane. The split differential housing comprises a first housing member coupled to a second housing member at an interface centered on the vertical plane, wherein the axis is coaxial with a central axis of a drive axle.

Abstract: An apparatus comprises at least one processing device configured to establish, utilizing a communication network, a remote collaboration session between first and second computing devices associated with first and second users, and to determine data to be exchanged between the first and second computing devices as part of the remote collaboration session. The first and second computing devices each comprise at least one of an augmented reality and a virtual reality computing device. The processing device is also configured to generate different logical network slices of the communication network, each logical network slice having a set of network characteristics associated with at least one type of the data to be exchanged between the first and second computing devices as part of the remote collaboration session. The processing device is further configured to communicate the different types of data between the first and second computing devices utilizing the logical network slices.

Abstract: A parallel processing unit employs an arithmetic logic unit (ALU) having a relatively small footprint, thereby reducing the overall power consumption and circuit area of the processing unit. To support the smaller footprint, the ALU includes multiple stages to execute operations corresponding to a received instruction. The ALU executes at least one operation at a precision indicated by the received instruction, and then reduces the resulting data of the at least one operation to a smaller size before providing the results to another stage of the ALU to continue execution of the instruction.

Abstract: A method for constructing a structural semantic map under an underground weak-light and low-texture environment is provided. The method includes: fusing traditional methods with a parameter line detection and verification model of structural semantics of a Transformer; and establishing a geometric primitive half-plane search method guided by the direction of structural information. The method also includes establishing a neighborhood greedy expansion algorithm based on a geometric primitive model; and optimizing geometric primitive poses and boundaries one by one. The method further includes fusing a point cloud map with structural information, and establishing a semantic map with geometric structure primitives.

Abstract: Embodiments disclosed herein relate to a method, a device, and a computer program product for training an image classification model. The method includes: determining a first classification result obtained by the image classification model on pixel points of a sample image in a first training iteration, wherein the first classification result indicates that each of the pixel points belongs to one of a plurality of object classes; determining a second classification result obtained by the image classification model on the pixel points of the sample image in a second training iteration; determining, based on the first classification result and the second classification result, a first set of recall rates and a second set of recall rates for the plurality of object classes; and adjusting, based on the first set of recall rates and the second set of recall rates, the image classification model to obtain a trained image classification model.