Abstract: The invention discloses a pure end-to-end deep reinforcement learning for training car racing game AI bot that uses only the velocity information extracted from screen for both training and testing phases without using any internal state from game environment, such as the car facing angle. The learned AI bot can play better than the average performance of human players. In addition, the reward function is designed to consist only the velocity value, and use Ape-X distributed training framework combined with a variant of Deep Q Network to solve the sparse training signal problem caused by the reward function of an original design. Moreover, limit learner rate method is designed that improves the training efficiency and training performance. The AI bot trained in this way can achieve performance beyond the average human level and reach a level close to professional players.

Abstract: A method for enhancing quality of media uses an AI enhancing model built-in the client device to enhance the quality of video streams. The AI enhance module is pre-trained by using a neural network in the server to analyze differences between the decoded images and the raw images that are generated by the server. Wherein, the AI enhance module enhances decoded images by using algorithms which are defined by analyzing differences between the decoded images and the raw images. Such that, the enhanced images are visually more similar to the raw images than the decoded images do.

Abstract: A method for enhancing quality of media uses an AI enhancing model built-in the client device to enhance the quality of video streams. The AI enhance module is pre-trained by using a neural network in the server to analyze differences between the decoded images and the raw images that are generated by the server. Wherein, the AI enhance module enhances decoded images by using to algorithms which are defined by analyzing differences between the decoded images and the raw images. Such that, the enhanced images are visually more similar to the raw images than the decoded images do.

Abstract: A method for enhancing quality of media transmitted via network uses an AI enhancing model built-in the client device to enhance the quality of video streams received from network. The AI enhance module is pre-trained by using a neural network in the server to analyze differences between the decoded images and the raw images that are generated by the server. Wherein, the AI enhance module enhances decoded images by using algorithms which are defined by analyzing differences between the decoded images and the raw images that are generated by the server. Such that, the enhanced images are visually more similar to the raw images than the decoded images do.

Abstract: A method for enhancing quality of media transmitted via network uses an AI enhancing model built-in the client device to enhance the quality of video streams received from network. The AI enhance module is pre-trained by using a neural network in the server to analyze differences between the decoded images and the raw images that are generated by the server. Wherein, the AI enhance module enhances decoded images by using algorithms which are defined by analyzing differences between the decoded images and the raw images that are generated by the server. Such that, the enhanced images are visually more similar to the raw images than the decoded images do.

Abstract: A method for enhancing quality of media transmitted via network uses an AI enhancing model built-in the client device to enhance the quality of video streams received from network. The AI enhance module is pre-trained by using a neural network in the server to analyze differences between the decoded images and the raw images that are generated by the server. Wherein, the AI enhance module enhances decoded images by using algorithms which are defined by analyzing differences between the decoded images and the raw images that are generated by the server. Such that, the enhanced images are visually more similar to the raw images than the decoded images do.

Abstract: Methods, apparatuses, and computer program products for transporting data from a sender to a receiver with low delay for interactive real-time media applications are described.

Abstract: A method for delivering media from a server to a client device over a network is disclosed. An Virtual-Reality (VR) scene application running on the server generates a virtual VR 3D environment containing 3D models. The server checks the status of each 3D model in a predetermined order, and then, only those 3D models which are not pre-stored in the client device will all be rendered by the server into a left eye frame and a right eye frame of 2D video stream. The server then sends to the client device the frames and meta data of the 3D models which are pre-stored in the client device via the network. The client device uses a combined VR frame of these frames as a background for rendering the 3D models which are pre-stored in the client device so as to generate a mixed VR frame of video stream for output.

Abstract: A method for delivering media from a server to a client device over a network is disclosed. An Virtual-Reality (VR) scene application running on the server generates a virtual VR 3D environment containing 3D models. The server checks the status of each 3D model in a predetermined order, and then, only those 3D models which are not pre-stored in the client device will all be rendered by the server into a left eye frame and a right eye frame of 2D video stream. The server then sends to the client device the frames and meta data of the 3D models which are pre-stored in the client device via the network. The client device uses a combined VR frame of these frames as a background for rendering the 3D models which are pre-stored in the client device so as to generate a mixed VR frame of video stream for output.

Abstract: Methods, apparatuses, and computer program products for transporting data from a sender to a receiver with low delay for interactive real-time media applications are described.

Abstract: An antenna module for wireless signal transmission of an electronic device is disclosed. The antenna module comprises an antenna body and a fixing part. The antenna body comprises a radiating element, a grounding element, a connecting element, and a feeding point. The radiating element has a first radiating area and a second radiating area. The connecting element has a first end and a second end. The first end is connected with the first radiating area of the radiating element and the second end is connected with the grounding element. The feeding point is disposed on the radiating element and is used to feed a signal. The fixing part comprises a main body and a first clip portion. The main body is used to match the shape of the antenna body. The first clip portion is used to clip and fix the antenna body.

Abstract: A distributed computing method for a distributed computing system which converts the data of a data-providing end into a format supported by a data-receiving end is disclosed. The distributed computing system comprises a plurality of processing elements, and the method comprises the steps of: recording a first profile of the data-receiving end; determining whether the data-receiving end supports the data of the data-providing end; if not, processing the data of the data-providing end into a format supported by the data-receiving end; and transmitting the processed data to the data-receiving end. The step of processing the data of the data-providing end into a format supported by the data-receiving end further comprises the steps of: partitioning the data into a plurality of sub-data; and assigning the plurality of sub-data to the plurality of processing elements for computing.

Abstract: An antenna module for wireless signal transmission of an electronic device is disclosed. The antenna module comprises an antenna body and a fixing part. The antenna body comprises a radiating element, a grounding element, a connecting element, and a feeding point. The radiating element has a first radiating area and a second radiating area. The connecting element has a first end and a second end. The first end is connected with the first radiating area of the radiating element and the second end is connected with the grounding element. The feeding point is disposed on the radiating element and is used to feed a signal. The fixing part comprises a main body and a first clip portion. The main body is used to match the shape of the antenna body. The first clip portion is used to clip and fix the antenna body.

Abstract: A method for filtering e-mails and a mail filtering system thereof are provided. In the present invention, two filters are used to filter a first mail class and a second mail class respectively. And these filters are connected in serial or in parallel to execute a filtration of the e-mail. Accordingly, a structure of the filters can be more flexible, so as to cope with different requirements of a user, and a misjudgement rate of the e-mails can be reduced.