Abstract: In an embodiment, a device includes: a package component including: integrated circuit dies; an encapsulant around the integrated circuit dies; a redistribution structure over the encapsulant and the integrated circuit dies, the redistribution structure being electrically coupled to the integrated circuit dies; sockets over the redistribution structure, the sockets being electrically coupled to the redistribution structure; and a support ring over the redistribution structure and surrounding the sockets, the support ring being disposed along outermost edges of the redistribution structure, the support ring at least partially laterally overlapping the redistribution structure.

Abstract: The invention introduces a method for diagnosing tongues based on deep learning, performed by processing unit of a tablet computer, including: obtaining a shooting photo through a camera module of the tablet computer; inputting the shooting photo to a convolutional neural network (CNN) to obtain classification results of categories, which are associated with a tongue of the shooting photo; and displaying a screen of a tongue-diagnosis application on a display panel of the tablet computer, where the screen includes the classification results of the categories.

Abstract: The invention introduces a method for remotely diagnosing tongues based on deep learning, performed by processing unit, including: obtaining a medical-treatment request and medical-record information containing a shooting photo from a client apparatus over a network; inputting the shooting photo to a plurality of partial-detection convolutional neural networks (CNNs) to obtain a plurality of classification results of a plurality of categories, which are associated with a tongue of the shooting photo; displaying a screen of a remote tongue-diagnosis application on a display unit, which contains the classification results of the categories; obtaining a medical advice corresponding to the classification results of the categories; and replying with the medical advice to the client apparatus over the network.