Abstract: An example computing device includes a first housing portion, a second housing portion moveably connected to the first housing portion, a link to selectively secure the second housing portion to the first housing portion to inhibit movement of the second housing portion relative to the first housing portion, and a shape-memory alloy element to release the link to allow the second housing portion to move relative to the first housing portion.

Abstract: A package structure including a semiconductor die, a redistribution circuit structure and an electronic device is provided. The semiconductor die is laterally encapsulated by an insulating encapsulation. The redistribution circuit structure is disposed on the semiconductor die and the insulating encapsulation. The redistribution circuit structure includes a colored dielectric layer, inter-dielectric layers and redistribution conductive layers embedded in the inter-dielectric layers. The electronic device is disposed over the colored dielectric layer and electrically connected to the redistribution circuit structure.

Abstract: An optical system affixed to an electronic apparatus is provided, including a first optical module, a second optical module, and a third optical module. The first optical module is configured to adjust the moving direction of a first light from a first moving direction to a second moving direction, wherein the first moving direction is not parallel to the second moving direction. The second optical module is configured to receive the first light moving in the second moving direction. The first light reaches the third optical module via the first optical module and the second optical module in sequence. The third optical module includes a first photoelectric converter configured to transform the first light into a first image signal.

Abstract: A method for determining whether there is an abnormality in a brain includes steps of: receiving a to-be-determined (TBD) 3D brain image; implementing the calibration procedure on the TBD 3D brain image; generating a first TBD image of WM, a second TBD image of GM, and a third TBD image of CSF based on a multi-voxel pattern of the TBD 3D brain image; and inputting the first TBD image of WM into a first DNN model, the second TBD image of GM into a second DNN model, and the third TBD image of CSF into a third DNN model to determine whether there is an abnormality in the white matter, the gray matter and the cerebrospinal fluid, respectively.

Abstract: A method for determining whether there is an abnormality in a brain includes steps of: receiving a to-be-determined (TBD) 3D brain image; implementing the calibration procedure on the TBD 3D brain image; generating a first TBD image of WM, a second TBD image of GM, and a third TBD image of CSF based on a multi-voxel pattern of the TBD 3D brain image; and inputting the first TBD image of WM into a first DNN model, the second TBD image of GM into a second DNN model, and the third TBD image of CSF into a third DNN model to determine whether there is an abnormality in the white matter, the gray matter and the cerebrospinal fluid, respectively.