Abstract: A package includes a device die, an encapsulant encapsulating the device die therein, a first plurality of through-vias penetrating through the encapsulant, a second plurality of through-vias penetrating through the encapsulant, and redistribution lines over and electrically coupling to the first plurality of through-vias. The first plurality of through-vias include an array. The second plurality of through-vias are outside of the first array, and the second plurality of through-vias are larger than the first plurality of through-vias.

Abstract: A single layer process is utilized to reduce swing effect interference and reflection during imaging of a photoresist. An anti-reflective additive is added to a photoresist, wherein the anti-reflective additive has a dye portion and a reactive portion. Upon dispensing the reactive portion will react with underlying structures to form an anti-reflective coating between the underlying structure and a remainder of the photoresist. During imaging, the anti-reflective coating will either absorb the energy, preventing it from being reflected, or else modify the optical path of reflection, thereby helping to reduce interference caused by the reflected energy.

Abstract: An apparatus for securing a wafer includes a chuck, at least one O-ring disposed on the chuck, a vacuum system connected to the chuck, such that the vacuum system comprises a plurality of vacuum holes through the chuck connected to one or more vacuum pumps, and a controller configured to control the height of the at least one O-ring relative to the top surface of the chuck. The controller is connected to pressure sensors capable of detecting a vacuum. The at least one O-ring may include a plurality of O-rings.

Abstract: A package includes a device die, an encapsulant encapsulating the device die therein, a first plurality of through-vias penetrating through the encapsulant, a second plurality of through-vias penetrating through the encapsulant, and redistribution lines over and electrically coupling to the first plurality of through-vias. The first plurality of through-vias include an array. The second plurality of through-vias are outside of the first array, and the second plurality of through-vias are larger than the first plurality of through-vias.

Abstract: According to various embodiments, a memory cell may include a substrate of a first conductivity type, the substrate having first and second regions of a second conductivity type spaced apart and defining a channel region therebetween. The memory cell may further include a word line arranged over a portion of the channel region nearer to the first region, an erase gate arranged over the second region, a floating gate arranged over another portion of the channel region nearer to the second region and between the word line and the erase gate, and a coupling gate arranged over a top end of the floating gate. The floating gate includes the top end, a bottom end, a first side extending from the top end to the bottom end and facing the erase gate, and a second side extending from the top end to the bottom end and facing the word line.

Abstract: An above ground frame pool is disclosed including a frame assembly and a liner supported by the frame assembly. The frame assembly includes a plurality of horizontal pipes, a plurality of vertical pipes, and a plurality of T-shaped joints. The joints may lack mechanical fasteners with adjacent pipes or corresponding apertures. The joints may be one-piece or multi-piece structures. Such joints may be water-resistant and convenient to manufacture, assemble, disassemble, and store.

Abstract: A system includes a memory having instructions therein and at least one processor configured to execute the instructions to: receive a natural language question; determine, from a chat log comprising a plurality of chat session logs, a set of chat session logs most relevant to the natural language question; determine a respective plurality of non-overlapping text spans most relevant to the natural language question within each of a respective plurality of conceptual pseudo-documents; determine a conceptual pseudo-document most relevant to the natural language question; extract a question-answer pair most relevant to the natural language question from the most relevant pseudo-document; and convey the most relevant question-answer pair to a user. Each one of the conceptual pseudo-documents corresponds to a respective one of the most relevant chat session logs.

Abstract: A method includes determining, based on an input data sample, a set of probabilities. Each probability of the set of probabilities is associated with a respective label of a set of labels. A particular probability associated with a particular label indicates an estimated likelihood that the input data sample is associated with the particular label. The method includes modifying the set of probabilities based on a set of adjustment factors to generate a modified set of probabilities. The set of adjustment factors is based on a first relative frequency distribution and a second relative frequency distribution. The first relative frequency distribution indicates for each label of the set of labels, a frequency of occurrence of the label among training data. The second relative frequency distribution indicates for each label of the set of labels, a frequency of occurrence of the label among post-training data provided to the trained classifier.

Abstract: An above ground frame pool is disclosed including a frame assembly and a liner supported by the frame assembly. The frame assembly includes a plurality of horizontal pipes, a plurality of vertical pipes, and a plurality of T-shaped joints. The joints may lack mechanical fasteners with adjacent pipes or corresponding apertures. The joints may be one-piece or multi-piece structures. Such joints may be water-resistant and convenient to manufacture, assemble, disassemble, and store.

Abstract: The current disclosure describes techniques for managing vertical alignment or overlay in semiconductor manufacturing using machine learning. Alignments of interconnection features in a fan-out WLP process are evaluated and managed through the disclosed techniques. Big data and machine learning are used to train a classification that correlates the overlay error source factors with overlay metrology categories. The overlay error source factors include tool signals. The trained classification includes a base classification and a Meta classification.

Abstract: A mechanism is provided to implement an abnormal entity detection mechanism that facilitates detecting abnormal entities in real-time response systems through weak supervision. For each first intent from an entity labeled workspace that matches a second intent in labeled chat logs, when the entity score associated with each first entity or second entity is above a predefined significance level the first entity or the second entity is recorded. For each first intent from the entity labeled workspace that matches the second intent in the labeled chat logs: responsive to the first entity being recorded and the second entity failing to be recorded, that first entity is removed from the training data as being mistakenly included; or, responsive to the second entity being recorded and the first entity failing to be recorded, that second entity is added as a potential business case to the training data.

Abstract: Mechanisms are provided for optimizing an automated machine learning (AutoML) operation to configure parameters of a machine learning model. AutoML logic is configured based on an initial default value and initial range for sampling of a parameter of the machine learning (ML) model and an initial AutoML process is executed on the ML model based on a plurality of datasets comprising a plurality of domains of data elements, utilizing the initially configured AutoML logic. For each domain, a cross-dataset default value and cross-dataset value range are derived from results of the execution of the initial AutoML process. For each domain, an entry is stored in a data structure, the entry storing the derived cross-dataset default value and cross-dataset value range for the domain. The AutoML logic performs a subsequent AutoML process on a new dataset based on one or more entries of the data structure.

Abstract: An apparatus for a smart gym is described herein. An electronic device includes a sensor to detect movement of a user in a workout area, at least one memory, instructions, and processor circuitry to execute the instructions to: generate a skeleton frame representative of the user in the workout area; analyze the detected movements of the user; identify a posture of the user performing an exercise; and output a signal to cause posture feedback to be displayed, the posture-analysis feedback indicative of proper form of a skeleton frame of the user when performing an exercise.

Abstract: In accordance with an embodiment of the invention, a method is provided for personalizing machine learning models for users of an automated machine learning system, the machine learning models being generated by an automated machine learning system. The method includes obtaining a first set of datasets for training first, second, and third neural networks, inputting the training datasets to the neural networks, tuning hyperparameters for the first, second, and third neural networks for testing and training the neural networks, inputting a second set of datasets to the trained neural networks and the third neural network generating a third output data including a relevance score for each of the users for each of the machine learning models, and displaying a list of machine learning models associated with each of the users, with each of the machine learning models showing the relevance score.

Abstract: A mechanism is provided to implement suggestion of new entity types with discriminative importance analysis. The mechanism obtains a list of predefined intents from a chatbot designer. The mechanism receives an input sentence having a target intent within the list of predefined intents. The mechanism performs intent-specific importance analysis on the input sentence to generate an importance score for each token in the input sentence. The mechanism ranks the tokens in the input sentence by importance score and outputs a token with a highest importance score as a candidate entity type.

Abstract: An apparatus for a smart gym is described herein. The smart gym includes a platform and at least one camera. The platform comprises at least a weight sensor. The at least one camera is configured to capture movements on the platform. In some cases, an exercise is identified by comparing the joint movement to a known joint movement associated with the exercise.

Abstract: A method of text classification includes generating a text embedding vector representing a text sample and applying weights of a regression layer to the text embedding vector to generate a first data model output vector. The method also includes generating a plurality of prototype embedding vectors associated with a respective classification labels and comparing the plurality of prototype embedding vectors to the text embedding vector to generate a second data model output vector. The method further includes assigning a particular classification label to the text sample based on the first data model output vector, the second data model output vector, and one or more weighting values.

Abstract: The present invention relates to a gallium nitride transimpedance amplifier, as an essential electronic circuit in the proton beam therapy. Because gallium nitride is more tolerant to the secondary radiation generated during the proton beam therapy, it has high reliability and increases the reliability of the overall system.

Abstract: A photoresist apparatus and a method are provided. The photoresist apparatus includes a pre-baking apparatus. The pre-baking apparatus includes: a hot-plate, a first cover over the hot-plate, a second cover over the first cover, a first heating element extending along a topmost surface of the first cover, and a second heating element extending along a topmost surface of the second cover.

Abstract: A mechanism is provided for implementing an intent segmentation mechanism that segments intent boundaries for multi-intent utterances in a conversational agent. For each term of a set of terms in the utterance from a real-time chat session, a set of adversarial utterances is generated for the utterance. An influence of changing each term is determined so as to identify a term importance value. Utilizing the term importance value, one or more of a change in ranking of the intent of the utterance or a change in confidence with regard to the intent of the utterance is identified. An entropy-based segmentation of the utterance into a plurality of candidate partitions is performed. An associated intent and entropy value are then assigned. Based on a segment with minimum entropy, a call associated with the real-time chat session is directed to an operation associated with an intent of the segment with minimum entropy.