Abstract: A method for fabricating semiconductor devices includes forming channel regions over a substrate. The channel regions, in parallel with one another, extend along a first lateral direction. Each channel region includes at least a respective pair of epitaxial structures. The method includes forming a gate structure over the channel regions, wherein the gate structure extends along a second lateral direction. The method includes removing, through a first etching process, a portion of the gate structure that was disposed over a first one of the channel regions. The method includes removing, through a second etching process, a portion of the first channel region. The second etching process includes one silicon etching process and one silicon oxide deposition process. The method includes removing, through a third etching process controlled based on a pulse signal, a portion of the substrate that was disposed below the removed portion of the first channel region.

Abstract: Clickpad structures may be attached to surfaces of an information handling system using material stacks comprising an elastic material, such as a sponge, which can preload a force on the clickpad surface. The preloaded force reduces a gap between the clickpad switch and contact point, which reduces instability, rattling, and other negative experiences with the clickpad surface experienced by a user. According to an embodiment, an input device for an information handling system includes a clickpad surface having a first side configured to receive user input and a second side opposite the first side; a first coupling stack comprising a first elastic material with a first thickness; and a second coupling stack comprising a second elastic material with a second thickness, wherein each of the coupling stacks is attached to the clickpad surface and a surface of the information handling system by adhesives.

Abstract: Embodiments of a system, method, and memory storage device for managing performance optimization of applications executed by an Information Handling System (IHS) are described. In an illustrative, non-limiting embodiment, an IHS may include computer-executable instructions to receive telemetry data associated with an operating behavior of the IHS. Using the telemetry data, the IHS generates a profile recommendation from the received telemetry data using a machine learning (ML) service, and adjusts a core stall management mechanism of a second processor to optimize a performance of the IHS. The second processor performs at least a portion of the operating behavior of the IHS.

Abstract: Embodiments of a system, method, and memory storage device for managing performance optimization of applications executed by an Information Handling System (IHS) are described. In an illustrative, non-limiting embodiment, an IHS may include computer-executable instructions to receive telemetry data associated with an operating behavior of the IHS. Using the telemetry data, the IHS generates a profile recommendation from the received telemetry data using a machine learning (ML) service, and adjusts a core stall management mechanism of a second processor to optimize a performance of the IHS. The second processor performs at least a portion of the operating behavior of the IHS.