Abstract: The present teaching relates to method, system, and medium, for generating an augmented alert in a hybrid vehicle. First information indicating an upcoming switch in an operating mode of the vehicle is received, which specifies a set of tasks, arranged in an order, to be completed by a driver in the vehicle to achieve the upcoming switch, and a task duration for each of the set of tasks by which the task is to be completed. A current state of the driver is obtained and used to determine a set of warnings to alert the driver to perform the set of tasks. Each warning corresponds to a task in the set of tasks and is created based on the current state of the driver. A warning schedule is generated based on the set of warnings in the order of the set of tasks and transmitted so that warnings in the warning schedule are delivered to the driver.

Abstract: There is disclosed a collagen construct comprising a plurality of elongate strips, wherein each strip contains a plurality of collagen fibres that are substantially aligned along the length of the respective strips, and the strips are braided or woven together to produce a collagen construct in the form of a rope that can be used for replacing tendons or ligaments, such as cruciate ligaments. Also disclosed is a method for making or producing the collagen construct from a collagen membrane having a plurality of collagen fibres being substantially aligned parallel to each other in a common direction. The membrane is cut along cut lines that are orientated substantially parallel to that common direction, thereby to separate elongate strips from the membrane. The strips are then braided or woven together to form the collagen construct.

Abstract: The present teaching relates to method, system, medium, and implementation of determining depth information in autonomous driving. Stereo images are first obtained from multiple stereo pairs selected from at least two stereo pairs. The at least two stereo pairs have stereo cameras installed with the same baseline and in the same vertical plane. Left images from the multiple stereo pairs are fused to generate a fused left image and right images from the multiple stereo pairs are fused to generate a fused right image. Disparity is then estimated based on the fused left and right images and depth information can be computed based on the stereo images and the disparity.

Abstract: Relating to the field of artificial intelligence, and specifically relating to the field of natural language processing, a data processing method includes and an apparatus performs: determining original text samples, where masking processing is not performed on the original text samples; and performing mask processing on the original text samples to obtain mask training samples, where the mask processing makes mask proportions of the mask training samples unfixed, and the mask training samples each are used to train a pretrained language model PLM. Training the PLM by using the mask training samples whose mask proportions are unfixed can enhance mode diversity of the training samples of the PLM. Therefore, features learned by the PLM are also diversified, a generalization capability of the PLM can be improved, and a natural language understanding capability of the PLM obtained through training can be improved.

Abstract: The present teaching relates to method, system, and medium, for switching a mode of a vehicle. Real-time data related to the vehicle are received, which include intrinsic/extrinsic capability parameters, based on which a set of tasks to switch from a current mode to a different mode is determined. A first duration of time required for the switch is determined based on a first risk evaluated with respect to the current mode and the real-time data. A task duration time needed by a driver to complete the task is estimated for each of the set of tasks. A second risk for the switching is estimated based on the required first duration of time and a total task duration times needed to complete the set of tasks. The switch is carried out when the second risk satisfying a criterion.

Abstract: The present teaching relates to system, method, medium for in-situ perception in an autonomous driving vehicle. A plurality of types of sensor data acquired continuously by a plurality of types of sensors deployed on the vehicle are first received, where the plurality of types of sensor data provide information about surrounding of the vehicle. Based on at least one model, one or more items are tracked from a first of the plurality of types of sensor data acquired by one or more of a first type of the plurality of types of sensors, wherein the one or more items appear in the surrounding of the vehicle. At least some of the one or more items are then automatically labeled on-the-fly via either cross modality validation or cross temporal validation of the one or more items and are used to locally adapt, on-the-fly, the at least one model in the vehicle.

Abstract: The present teaching relates to online user profiling. In one example, content associated with a first user of a social media network is obtained. From the content associated with the first user, a first link to a first piece of content is identified. A second user of the social media network associated with the first user is determined in the context of the social media network. From content associated with the second user of the social media network, a second link to a second piece of content is identified. The first and second pieces of content are retrieved based on the first and second links, respectively. User profile of the first user is generated based, at least in part, on the first and second pieces of content.

Abstract: The present teaching relates to system, method, medium for in-situ perception in an autonomous driving vehicle. A plurality of types of sensor data are received, which are acquired by a plurality of types of sensors deployed on the vehicle to provide information about surrounding of the vehicle. Based on at least one model, one or more surrounding items are tracked from a first of the plurality of types of sensor data acquired by a first type sensors. At least some of the tracked items are automatically labeled via cross validation and are used to locally adapt, on-the-fly, the at least one model. Model update information is received which from a model update center, which is derived based on the labeled at least some items. The at least one model is updated using the model update information.

Abstract: The present teaching relates to method, system, medium, and implementation of in-situ perception in an autonomous driving vehicle. A plurality of types of sensor data are acquired continuously via a plurality of types of sensors deployed on the vehicle, where the plurality of types of sensor data provide information about surrounding of the vehicle. One or more items surrounding the vehicle are tracked, based on some models, from a first of the plurality of types of sensor data from a first type of the plurality of types of sensors. A second of the plurality of types of sensor data are obtained from a second type of the plurality of sensors and are used to generate validation base data. Some of the one or more items are labeled, automatically, via validation base data to generate labeled at least some item, which is to be used to generate model updated information for updating the at least one model.

Abstract: There is disclosed a collagen construct comprising a plurality of elongate strips, wherein each strip contains a plurality of collagen fibres that are substantially aligned along the length of the respective strips, and the strips are braided or woven together to produce a collagen construct in the form of a rope that can be used for replacing tendons or ligaments, such as cruciate ligaments. Also disclosed is a method for making or producing the collagen construct from a collagen membrane having a plurality of collagen fibres being substantially aligned parallel to each other in a common direction. The membrane is cut along cut lines that are orientated substantially parallel to that common direction, thereby to separate elongate strips from the membrane. The strips are then braided or woven together to form the collagen construct.

Abstract: The present teaching relates to method, system, and medium, for operating a vehicle. The method includes the steps of receiving Real-time data related to the vehicle are received. A current mode of operation of the vehicle is determined. A first risk associated with the current mode of operation of the vehicle is evaluated based on the real-time data in accordance with a risk model. If the first risk satisfies a first criterion, a second risk associated with switching the current mode to a different mode of operation of the vehicle is determined. The vehicle is switched from the current mode to the different mode if the second risk satisfies a second criterion.

Abstract: Some embodiments may include a multi-layer flexure that may be used in an optical image stabilization voice coil motor (OIS VCM) actuator of a camera. The multi-layer flexure module may include a dynamic platform and a static platform along with multiple layers of flexure arms that mechanically connect the dynamic platform to the static platform. In some examples, the multi-layer flexure may include electrical traces configured to convey signals from the dynamic platform to the static platform. The electrical traces may be routed from the dynamic platform to the static platform via the flexure arms. In some embodiments, a multi-layer flexure may have a greater stiffness in a Z-direction aligning with an optical axis of a camera and may have a lower stiffness in X and Y directions corresponding to optical image stabilization directions of an OIS VCM actuator.

Abstract: A capacitor structure and a power converter are provided. The capacitor structure includes a parallel cell combination, and the parallel cell combination includes a plurality of cells and a plurality of current collectors. In the parallel cell combination: the cells are connected in parallel, and the poles connected in parallel are respectively connected with other devices through corresponding confluence points. Same poles of two adjacent cells are connected through a corresponding current collector, and the current-carrying specifications of each current collector is lower than the current-carrying requirements of a confluence point of a corresponding pole. That is to say, a conductor that implements the parallel connection of the cells is no longer a whole copper plate, but the individual current collectors, thus realizing the reduction of the cost of the conductor material.

Abstract: A capacitor structure and a power convertor are provided by the present disclosure. The capacitor structure includes a housing and at least one core arranged inside the housing, and two electrodes of the capacitor structure are respectively led out from two ends of the housing. Thus, the pole piece required in a case that electrodes are led from the same end of the housing is omitted, thereby saving material cost. Besides, the housing and the core are respectively hollow structures, and the internal heat of the capacitor structure can be ventilated and dissipated through the corresponding hollow part, thereby improving the heat dissipation performance of the capacitor structure. In addition, by arranging the fin heat dissipation teeth on the housing, the heat dissipation area can be increased to further improve the heat dissipation efficiency.

Abstract: With the advent of manycore architecture, on-chip interconnect connects a number of cores, caches, memory modules, accelerators, graphic processing unit (GPU) or chiplets in one system. However, on-chip interconnect architecture consumes a significant portion of total parallel computing chip power. Power-gating is an effective technique to reduce power consumption by powering off the routers, but it suffers from a large wake-up latency to resume the full activity of routers. Recent research aims to improve the wake-up latency penalty by hiding it through early wake-up techniques. However, these techniques do not exploit the full advantage of power-gating due to the early wake-up. Consequently, they do not achieve significant power savings. The present invention provides a new router architecture that remedies the large wake-up latency overheads while providing significant power savings. The invention takes advantage of a simple switch to transmit packets without waking up the router.

Abstract: This disclosure provides systems, methods and apparatuses for machine learning. In some implementations, a pre-processing system may identify one or more special features in an input dataset and may generate one or more pruned datasets, respectively, based on the identified special features. The pre-processing system maps each of the pruned datasets to one or more predictions and selectively removes the values associated with one or more special features from the input dataset based on the mapping. In some other implementations, a pre-processing system may map each of the feature sets in an input dataset to multiple predictions in accordance with multiple machine learning algorithms. The pre-processing system evaluates a performance of each of the mappings and selects one of the machine learning algorithms to be used to train the machine learning model based on the performance of each mapping.

Abstract: The present teaching relates to a method, system, medium, and implementation of processing image data in an autonomous driving vehicle. Sensor data acquired by one or more types of sensors deployed on the vehicle are continuously received. The sensor data provide different information about surrounding of the vehicle. Based on a first data set acquired by a first sensor of a first type of the one or more types of sensors at a specific time, an object is detected, where the first data set provides a first type of information about the surrounding of the vehicle. Depth information of the object is then estimated via object centric stereo at object level based on the object detected as well as a second data set acquired by a second sensor of the first type of the one or more types of sensors at the specific time. The second data set provides the first type of information about the surrounding of the vehicle with a different perspective as compared with the first data set.

Abstract: An interconnection network for a processing unit having an array of cores. The interconnection network includes routers and adaptable links that selectively connect routers in the interconnection network. For example, each router may be electrically connected to one or more of the adaptable links via one or more multiplexers and a link controller may control the multiplexers to selectively connect routers via the adaptable links. In another example, adaptable links may be formed as part of an interposer and the link controller selectively connect routers via the adaptable links in the interposer using interposer switches. The adaptable links enable the interconnection network to be dynamically partitioned. Each of those partitions may be dynamically reconfigured to form a topology.

Abstract: A six-phase flat wire wave winding structure. Each phase of wave winding structure has a wire-in end, a wire-out end, and a wire located between the wire-out end and the wire-in end. The six-phase flat wire wave winding structure is applicable to a 2M-layer (M=1, 2, 3 . . . ) six-phase motor whose quantity of slots of each phase in each pole is q, whose quantity of stator slots is 6q (q=1, 2, 3 . . . ) times of a quantity of poles, and whose quantity a of parallel branches is 1 or 2. Each phase of the wave winding structure has conductors in all layers of a same stator slot, and the wave windings are uniformly and symmetrically distributed. In addition, problems that a flat wire winding process is highly difficult and manufacturing costs are high due to an increase in a quantity of phases of the six-phase motor are effectively resolved.

Abstract: The present teaching relates to online user profiling. In one example, content associated with a first user of a social media network is obtained. From the content associated with the first user, a first link to a first piece of content is identified. A second user of the social media network associated with the first user is determined in the context of the social media network. From content associated with the second user of the social media network, a second link to a second piece of content is identified. The first and second pieces of content are retrieved based on the first and second links, respectively. User profile of the first user is generated based, at least in part, on the first and second pieces of content.