Abstract: A machine learning method on vectorized three-dimensional models and a learning system thereof are provided. The learning system uses a computer system to perform the machine learning method using synthetic images rendered from vectorized three-dimensional models. In the method, the system acquires a computerized engineering design drawing or a stereoscopic scan file of a target object. The engineering design drawing or a stereoscopic scan file is then converted into a specific file that can be processed to render synthetic images by a rendering program. A great amount of diversified synthetic images forms a training and testing dataset for an ensemble of machine learning algorithms to train an artificial intelligence model and evaluate its accuracy.

Abstract: A method, an electronic device, and a computer-readable storage medium for performing identification based on multi-modal data are provided. The method includes the following. A data string is obtained. The data string is fed into a first deep neural network to generate a first feature map. Multi-dimensional data is generated based on the data string. The multi-dimensional data is fed into a second deep neural network to generate a second feature map. At least the first feature map and the second feature map are fused into a specific feature vector. The specific feature vector is fed into a machine learning model. The machine learning model outputs an identification result corresponding to the data string in response to the specific feature vector.

Abstract: A medical image analysis method includes: reading an original medical image; performing image classification and object detection on the original medical image to generate a first classification result and a plurality of object detection results by a plurality of complementary artificial intelligence (AI) models; performing object feature integration and transformation on a first detection result and a second detection result among the object detection results to generate a transformation result by a features integration and transformation module; and performing machine learning on the first classification result and the transformation result to generate an image interpretation result by a machine learning module and display the image interpretation result.

Abstract: A medical image analysis method includes: reading an original medical image; performing image classification and object detection on the original medical image to generate a first classification result and a plurality of object detection results by a plurality of complementary artificial intelligence (AI) models; performing object feature integration and transformation on a first detection result and a second detection result among the object detection results to generate a transformation result by a features integration and transformation module; and performing machine learning on the first classification result and the transformation result to generate an image interpretation result by a machine learning module and display the image interpretation result.

Abstract: A LiDAR and a method of a fast photon-count integration for a LiDAR are disclosed. The proposed method, wherein the LiDAR includes a laser, includes: providing a target and the LiDAR; causing the laser to fire a laser pulse towards the target according to a random mechanism; and causing an interval between two adjacent laser pulses to be less than a time that the laser spent for a round trip of maximum unambiguous range to speed up a detection and a ranging of the target.

Abstract: Embodiments of the present invention are directed to storage systems for milk bags. A storage system for milk bags receives milk bags and management of the stored milk bags. The milk bags are stored in compartments for easy storage and retrieval.

Abstract: Embodiments of the present invention are directed to storage systems for milk bags. A storage system for milk bags receives milk bags and management of the stored milk bags. The milk bags are stored in compartments for easy storage and retrieval.

Abstract: Embodiments of the present invention are directed to storage systems for milk bags. A storage system for milk bags receives milk bags and management of the stored milk bags. The milk bags are stored in compartments for easy storage and retrieval.

Abstract: A leash assembly includes a first belt, a second belt and at least one connector piece coupled to the first belt. The first belt is configured to be worn over the second belt. The first and second belts can be worn by a subject around the torso, shoulders, neck or wrist. Each connector piece is configured to move along at least a portion of the first belt. In some embodiments, the connector piece is a link configured to be receive the first belt and to move along the first belt. Each connector piece is coupled with a leash. In some embodiments, the leash has a retractable end. The leash assembly can include adornments and/or a carrier coupled to the belt.

Abstract: A leash assembly includes a belt and at least one connector piece coupled to the belt. The belt can be worn by a subject around the torso, shoulders, neck or wrist. Each connector piece is configured to move along at least a portion of the belt. In some embodiments, the connector piece is a link configured to be receive the belt and to move along the belt. Alternatively, the belt has one or more tracks, in which the connector piece is configured to travel on thereby allowing the connector to travel along the belt. Each connector piece is coupled with a leash. In some embodiments, the leash has a retractable end. The leash assembly can include adornments and/or a carrier coupled to the belt.

Abstract: Embodiments of the present invention are directed to storage systems for milk bags. A storage system for milk bags receives milk bags and management of the stored milk bags. The milk bags are stored in compartments for easy storage and retrieval.

Abstract: An asynchronous expansible switching system for switching packet with different length mainly comprising a plurality of linecards, preprocessors, sequencers, switching planes and multiplexers and is able to provide an optional routing mechanism for a distributed packet, wherein the switch is able to expand the switching plane in accordance with the increase of the input port and the output port and transmit the packets within the buffering of the output port of the switching plane to the output port by the control of the preprocessor and the sequencer.