Abstract: A channel hiatus correction method for an HDMI device is provided. A recovery code from scrambled data of the stream is obtained. A liner feedback shift register (LFSR) value of channels of the HDMI port is obtained based on the recovery code and the scrambled data of the stream. The stream is de-scrambled according to the LFSR value of the channels of the HDMI port. Video data is displayed according to the de-scrambled stream.

Abstract: A device includes a fin extending from a semiconductor substrate; a gate stack over the fin; a first spacer on a sidewall of the gate stack; a source/drain region in the fin adjacent the first spacer; an inter-layer dielectric layer (ILD) extending over the gate stack, the first spacer, and the source/drain region, the ILD having a first portion and a second portion, wherein the second portion of the ILD is closer to the gate stack than the first portion of the ILD; a contact plug extending through the ILD and contacting the source/drain region; a second spacer on a sidewall of the contact plug; and an air gap between the first spacer and the second spacer, wherein the first portion of the ILD extends across the air gap and physically contacts the second spacer, wherein the first portion of the ILD seals the air gap.

Abstract: A channel hiatus correction method for an HDMI device is provided. A recovery code from scrambled data of the stream is obtained. A liner feedback shift register (LFSR) value of channels of the HDMI port is obtained based on the recovery code and the scrambled data of the stream. The stream is de-scrambled according to the LFSR value of the channels of the HDMI port. Video data is displayed according to the de-scrambled stream.

Abstract: A method of performing automatic tuning on a deep learning model includes: utilizing an instruction-based learned cost model to estimate a first type of operational performance metrics based on a tuned configuration of layer fusion and tensor tiling; utilizing statistical data gathered during a compilation process of the deep learning model to determine a second type of operational performance metrics based on the tuned configuration of layer fusion and tensor tiling; performing an auto-tuning process to obtain a plurality of optimal configurations based on the first type of operational performance metrics and the second type of operational performance metrics; and configure the deep learning model according to one of the plurality of optimal configurations.

Abstract: A memory device including a base semiconductor die, conductive terminals, memory dies, an insulating encapsulation and a buffer cap is provided. The conductive terminals are disposed on a first surface of the base semiconductor die. The memory dies are stacked over a second surface of the base semiconductor die, and the second surface of the base semiconductor die is opposite to the first surface of the base semiconductor die. The insulating encapsulation is disposed on the second surface of the base semiconductor die and laterally encapsulates the memory dies. The buffer cap covers the first surface of the base semiconductor die, sidewalls of the base semiconductor die and sidewalls of the insulating encapsulation. A package structure including the above-mentioned memory device is also provided.

Abstract: A memory device including a base semiconductor die, conductive terminals, memory dies, an insulating encapsulation and a buffer cap is provided. The conductive terminals are disposed on a first surface of the base semiconductor die. The memory dies are stacked over a second surface of the base semiconductor die, and the second surface of the base semiconductor die is opposite to the first surface of the base semiconductor die. The insulating encapsulation is disposed on the second surface of the base semiconductor die and laterally encapsulates the memory dies. The buffer cap covers the first surface of the base semiconductor die, sidewalls of the base semiconductor die and sidewalls of the insulating encapsulation. A package structure including the above- mentioned memory device is also provided.

Abstract: A phase shifter with asymmetric dielectric unit includes: a feed layer, with circuit layout surface and back side; a stripline feeding network fixed to the circuit layout surface, including a phase shifting unit and a power distribution unit; an asymmetric dielectric unit, including the upper dielectric plate on the circuit layout surface of corresponding feed layer and a lower dielectric plate on the back side of corresponding feed layer, the upper and lower dielectric plates are pairwise located and shift simultaneously, corresponding to the fixed transmission line section of phase shifting unit, the phase is changed by shifting the dielectric plates for phase shift function; the ends corresponding to the displacement direction of the dielectric plates are asymmetrically laid by staggering the edge positions; and an interlocking frame, located in the circuit layout surface and back side of feed layer, for driving the upper and lower dielectric plates to shift.