Abstract: A semiconductor package includes a conductive pad, a semiconductor die with an aluminum bond pad over a dielectric layer of the semiconductor die, a gold bump on the aluminum bond pad, a first intermetallic layer of gold and aluminum between the aluminum bond pad and the gold bump, a copper ball bond on the gold bump, a second intermetallic layer of copper and gold between the copper ball bond and the gold bump, a copper wire extending from the copper ball bond to the conductive pad, a stitch bond between the copper wire and the conductive pad.

Abstract: Disclosed are a method and a device for identifying full-section excavation parameters of large-section tunnel with broken surrounding rock, which is capable of solving the problem of inaccurate arrangement of blasting hole points in tunnel excavation engineering, including following steps: establishing a three-dimensional finite element model based on a blasting section design of a tunnel; performing a simulation with the three-dimensional finite element model based on blasting design parameters to obtain blasting quality parameters; selecting a group closest to a preset quality parameter from multiple groups of the blasting design parameters as target blasting design parameters, wherein the preset quality parameter is an acceptance grade standard of the tunnel; obtaining first thermal imaging information of a first hot spot of a surface to be blasted; calibrating actual hole spacing parameters based on the first thermal imaging information and the target blasting design parameters.

Abstract: Embodiments of the disclosure provide an information display method and apparatus, an electronic device, and a computer storage medium. The method includes: obtaining a motion status of a target object at a current moment in a virtual scene and a first operation for controlling the target object to move in the virtual scene; predicting a first moving track along which the target object is to move within a period of time after the current moment based on the motion status of the target object at the current moment and the first operation; and displaying the first moving track and a second moving track, the second moving track being a moving track along which the target object has moved before the current moment.

Abstract: A switch is provided. The switch includes, but not limited to: normally open (NO) terminals; normally closed (NC) terminals; an actuator, configured to conduct at least one of the NO terminals and the NC terminals; an indicator for a remaining service life of the switch; and a controller component, configured to: determine the remaining service life of the switch based on a conduct resistance between at least one of the NO terminals and the NC terminals, and control the indicator to illuminate a corresponding color based on the determined remaining service life of the switch.

Abstract: An automatic injection pen includes a shell, a needle cover slidably provided in the shell, an inner sleeve, a pen cap, a spring cylinder, a pen tube stopper and a syringe assembly. The syringe assembly includes a barrel, a needle and a piston assembly. The piston assembly includes a push head, a push rod, a spring support portion, a locking protrusion, a guiding portion and an actuation portion from bottom to top. An outer side of the spring support portion is provided with a spring for drug administration. The piston assembly, the spring, the spring cylinder, the needle cover, and the pen tube stopper constitute a locking-actuation mechanism. A push rod of the piston assembly is provided with an elastic protrusion structure. A linear buffer is provided between the push head and a piston in the barrel to delay the needle withdrawal.

Abstract: In general, techniques are described that address the limitations of existing conformal prediction methods for cascaded models. In an example, a method includes receiving a first validation data set for validating performance of an upstream model of the two or more cascaded models and receiving a second validation data set for validating performance of a downstream model of the two or more cascaded models wherein the second validation data set is different than the first validation set; estimating system-level errors caused by predictions of the upstream model based on the first validation data set; estimating system-level errors caused by predictions of the downstream model based on the second validation data set; and generating a prediction confidence interval that indicates a confidence for the system based on the system-level errors caused by predictions of the upstream model and based on the system-level errors caused by predictions of the downstream model.

Abstract: Automatic container image registry selection is provided. A predefined number of top performing container image registries is selected from a top of a sorted list of a plurality of container image registries listed in descending order. A cluster of host nodes where a container is deployed is enabled to pull a same container image corresponding to the container utilizing different predefined pulling percentages from the predefined number of top performing container image registries. The cluster of host nodes utilizes a different predefined pulling percentage to pull the same container image from each respective top performing container image registry. A current real time average pulling speed of the cluster of host nodes for the same container image from each respective top performing container image registry of the predefined number of top performing container image registries is recorded over a defined time period.

Abstract: An example system includes: interface circuitry; programmable circuitry; and instructions to cause the programmable circuitry to: reserve first memory addresses of a host system, the first memory addresses reserved for emulation of a guest system, the guest system based on a first instruction set architecture that is different from a second instruction set architecture of the host system; reserve second memory addresses of the host system that are contiguous with the first memory addresses, the second memory addresses reserved for a first emulated memory access instruction associated with an overflow in the guest system; reserve third memory addresses of the host system for a second emulated memory access instruction associated with an underflow in the guest system; and set memory access privileges of the second and third memory addresses to prevent at least one of a read, a write, or an execution access for the second and third memory addresses.

Abstract: A semiconductor device includes a semiconductor die having a die surface, in which the die surface includes a bond pad. A ball bond has a distal surface and flattened-disk shape extending from the distal surface and terminating in a proximal surface spaced apart from the distal surface. The distal surface is coupled to the bond pad and a channel extends a depth into the proximal surface surrounding a central portion of the proximal surface. A bond wire extending from the central portion of the proximal surface, in which the channel is spaced apart from and surrounds the bond wire.

Abstract: An example semiconductor package comprises a semiconductor die having a top surface, a bond pad formed on the top surface, a bond wire having a first end and a second end, wherein the first end is attached to the bond pad. The semiconductor package having a contact pad, wherein the second end of the wire bond is attached to the contact pad by a stitch bond, the stitch bond having a plateau region formed between a cut end and a ramped portion, wherein a bottom surface of the plateau region forms an attachment to the contact pad.

Abstract: A method for a user device, including receiving a first acoustic input of a user speaking a wake-up word in the target language; providing a first acoustic feature derived from the first acoustic input to an acoustic model stored on the user device to obtain a first sequence of speech units corresponding to the wake-up word spoken by the user in the target language, the acoustic model trained on a corpus of training data in a source language different than the target language; receiving a second acoustic input including the wake-up word in the target language; providing a second acoustic feature derived from the second acoustic input to the acoustic model to obtain a second sequence of speech units corresponding to the wake-up word in the target language; and comparing the first and second sequences of speech units to recognize the wake-up word in the target language.

Abstract: A computerized method for detection of categorical drift within an incoming data stream. Herein, an error threshold is computed based on a first set of training data samples selected to detect categorical drift occurring for a data stream. Thereafter, probability distributions associated with content of a first and second data samples of the data stream are computed. Analytics are conducted to compute a difference between content of the first probability distribution that is based on a first data point of the first data sample and content of the second probability distribution that is based on a first data point of the second data sample. After computing the difference, that categorical drift is determined whether categorical drift detection has been conducted.

Abstract: Provided are techniques for identifying and correcting model focus drift during model training. A model is trained using an original dataset with data, and the is classified into clusters. A representation is assigned to each of the clusters. A first visualization dashboard with visualizations is generated, where each visualization represents a first data distribution of an associated cluster using the representation assigned to that cluster. The model is fine-tuned using a fine-tune dataset. A second visualization dashboard is generated by updating each visualization, where each visualization represents a second data distribution of the associated cluster. It is determined that a cluster of the clusters has focus drift based on changes between the first data distribution and the second data distribution. The focus drift is corrected by: adding the data of the cluster to the fine-tune dataset to form a combined dataset and fine-tuning the model using the combined dataset.

Abstract: Systems and methods for providing kinematic and contextual comfort scores to autonomous vehicle rides. In particular, systems and methods are provided to automatically identify driving events such as unusual acceleration, braking, and steering events, and determine the severity of identified events. Some example events include a hard braking event, a swerve event, and a quick acceleration event. Automatic detection of such events allows for engineering feedback to autonomous vehicles and provides a tool for capturing passenger satisfaction and/or reactions with regard to specific events.

Abstract: The present disclosure discloses a path construction method, device, terminal and storage medium, and the method comprises: acquiring vehicle travel state information and an initial image of a surrounding environment of a preset driving path corresponding to the vehicle travel state information in real time when the vehicle is traveling on the preset driving path; calculating a target top view corresponding to the initial image via a nonlinear difference correction algorithm according to the initial image; inputting the target top view into a preset deep learning model, and classifying pixel points of the target top view input into the preset deep learning model to obtain a partitioned image, the partitioned image being an image after partitioning the target top view; scanning the partitioned image to recognize a travelable region of the vehicle; generating a path trajectory corresponding to the vehicle travel state information based on the travelable region.