Abstract: The present invention provides a transparent conductive substrate, sequentially comprising: a first resist layer, a first transparent conductive layer, a transparent core, a second transparent conductive layer, and a second resist layer; wherein the first resist layer is composed of a UV-light sensitive composition (C1); and the second resist layer is composed of a visible-light sensitive composition (C2). The present invention provides a double-side photolithographic method for manufacturing transparent conductive laminates. The transparent conductive laminates manufactured by the inventive method may be incorporated into touch panels.

Abstract: Aspects of the present disclosure provide a method for training a predictor that predicts performance of a plurality of machine learning (ML) models on platforms. For example, the method can include converting each of the ML models into a plurality of instructions or the instructions and a plurality of intermediate representations (IRs). The method can also include simulating execution of the instructions corresponding to each of the ML models on a platform and generating instruction performance reports. Each of the instruction performance reports can be associated with performance of the instructions corresponding to one of the ML models that are executed on the platform. The method can also include training the predictor with the instructions or the IRs as learning features and the instruction performance reports as learning labels, compiling the predictor into a library file, and storing the library file in a storage device.

Abstract: A semiconductor device includes: first and second input circuits in a central region and correspondingly configured to operate in a first voltage domain; first and second single bit level shifters (SBLSs) correspondingly in first and second regions at first and second sides of the central region relative to a first direction and electrically coupled correspondingly to the first and second input circuits, and correspondingly configured to operate in a second voltage domain; and a control circuit configured to toggle each of the first and second SBLSs between a normal state and a standby state when a control signal is received from the control circuit.

Abstract: An electronic device includes a display surface, a back surface with a first portion and a second portion, and a support assembly. The support assembly includes a first, second, and third boards. The first board includes a first surface, detachably covering the first portion, and a second surface. The second board is bendably connected to the first board and combined with the second portion. The third board includes a pivoted end and a free end. The pivoted end is pivotally connected to the second surface and covers the second board and a portion of the first board. When the first board rotates relative to the first portion, the third board also rotates relative to the second board, the second surface faces the third board, and the second board simultaneously moves along the third board. Accordingly, the display surface is raised up a distance relative to the free end.

Abstract: A chip package and method for fabricating the same are provided that includes hybrid bonds between a substrate and integrated circuit devices. In one example, a chip package includes a plurality of integrated circuit (IC) devices mounted on a substrate. The substrate has a die side and a ball side. The die side of the substrate includes a plurality of exposed metal bond pads. Each IC device has a device body. Functional circuitry is formed in the device body, terminating at a plurality of exposed metal bond pads. The plurality of exposed metal bond pads are hybrid bonded to the plurality of exposed metal bond pads.

Abstract: Driver behavior risk assessment and pedestrian awareness may include an receiving an input stream of images of an environment including one or more objects within the environment, estimating an intention of an ego vehicle based on the input stream of images and a temporal recurrent network (TRN), generating a scene representation based on the input stream of images and a graph neural network (GNN), generating a prediction of a situation based on the scene representation and the intention of the ego vehicle, and generating an influenced or non-influenced action determination based on the prediction of the situation and the scene representation.

Abstract: A method of producing a particulate lithium metal oxide or lithium metal phosphate material comprising the steps of providing one or more metal compounds, adding sufficient water to dissolve the one or more metal compounds to form a metal compound solution, adding a first basic solution, a second basic solution and the metal compound solution at predetermined rates to a reaction vessel containing water to form a reaction mixture, heating the reaction mixture while maintaining a pH of the reaction mixture in a predetermined pH range, adding a lithium compound, adding a fatty acid, filtering a precipitate, washing and preferably drying the precipitate, calcining the dried precipitate in an atmosphere containing oxygen to form a calcined lithium metal oxide or lithium metal phosphate, cooling and sizing the calcined lithium metal oxide or lithium metal phosphate to produce a particulate lithium metal oxide or lithium metal phosphate material having a predetermined average particle size.

Abstract: Driver behavior risk assessment and pedestrian awareness may include an receiving an input stream of images of an environment including one or more objects within the environment, estimating an intention of an ego vehicle based on the input stream of images and a temporal recurrent network (TRN), generating a scene representation based on the input stream of images and a graph neural network (GNN), generating a prediction of a situation based on the scene representation and the intention of the ego vehicle, and generating an influenced or non-influenced action determination based on the prediction of the situation and the scene representation.

Abstract: A method includes: forming first, second, and third NWs; forming form first to fourth transistors in corresponding first to fourth groups of active regions, connecting selected transistors amongst the first and second transistors to form first and second input circuits respectively receiving a first input signal in a first domain and a second input signal in the first domain; connecting selected transistors amongst the first and third transistors and amongst the first and fourth transistors to respectively form a first single bit level shifter (SBLS) and a second SBLS; each SBLS operates in the second domain and receives correspondingly versions of the first and second input signals; and connecting selected transistors amongst the first and third transistors to form a control circuit for toggling the first and second SBLSs between a normal and a standby state, a portion of the control circuit and the first SBLS sharing the second NW.

Abstract: A foldable electronic device is disclosed and includes a first body, a second body, a hinge mechanism, and a cover. The hinge mechanism includes a first rack plate disposed to the first body, a second rack plate disposed to the second body, a first gear shaft meshed with the first rack plate, and a second gear shaft meshed with the second rack plate and the first gear shaft. The cover is movably disposed on the hinge mechanism and covers the hinge mechanism. When the second body rotates relative to the first body, the second rack plate, the second gear shaft, the first gear shaft and the first rack plate rotate in sequence, the first rack plate and the second rack plate abut against the cover, so the cover is away from the hinge mechanism and separated from the first body and the second body.

Abstract: A system and method for performing intersection scenario retrieval that includes receiving a video stream of a surrounding environment of an ego vehicle. The system and method also include analyzing the video stream to trim the video stream into video clips of an intersection scene associated with the travel of the ego vehicle. The system and method additionally include annotating the ego vehicle, dynamic objects, and their motion paths that are included within the intersection scene with action units that describe an intersection scenario. The system and method further include retrieving at least one intersection scenario based on a query of an electronic dataset that stores a combination of action units to operably control a presentation of at least one intersection scenario video clip that includes the at least one intersection scenario.

Abstract: The invention relates to a method for judging risk of suffering kidney cancer. The method includes detecting a PSMB9 protein concentration value from a test sample. And a risk factor value is obtained after processing the PSMB9 protein concentration value with an age. When the score of the risk factor value is greater than a defined threshold value of the risk factor threshold value, then the test sample is classified as a high risk sample of a of potential kidney cancer patient.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an image embedding model. In one aspect, a method comprises: obtaining training data comprising a plurality of training examples, wherein each training example comprises: an image pair comprising a first image and a second image; and selection data indicating one or more of: (i) a co-click rate of the image pair, and (ii) a similar-image click rate of the image pair; and using the training data to train an image embedding model having a plurality of image embedding model parameters.

Abstract: Systems and techniques for target object retrieval may include or utilize an image capture device, and a task planner. The image capture device may receive an image of an environment including identified objects. The task planner may determine potential actions, calculate a probability of success of achieving a desired goal for each of the potential actions based on an action prediction model, the corresponding potential action, a current state of the environment, any previously taken action, and the desired goal, select a potential action associated with the highest calculated probability of success, and simulate a subsequent state based on the selected potential action and a dynamic prediction model. The potential actions may be associated with an identified object of the identified objects and an operation to be performed on the identified object.

Abstract: According to one aspect, intersection scenario description may be implemented by receiving a video stream of a surrounding environment of an ego-vehicle, extracting tracklets and appearance features associated with dynamic objects from the surrounding environment, extracting motion features associated with dynamic objects from the surrounding environment based on the corresponding tracklets, passing the appearance features through an appearance neural network to generate an appearance model, passing the motion features through a motion neural network to generate a motion model, passing the appearance model and the motion model through a fusion network to generate a fusion output, passing the fusion output through a classifier to generate a classifier output, and passing the classifier output through a loss function to generate a multi-label classification output associated with the ego-vehicle, dynamic objects, and corresponding motion paths.

Abstract: A method includes steps of: based on protein structure data, selecting a residue pair that includes a specific residue and a paired residue respectively of two wild-type protein chains of a protein complex; determining a mutant residue to substitute for the specific residue; for a target interface between the mutant residue and the paired residue, calculating an atomic distance and an atomic interaction force based on the protein structure data and amino acid structure data; and estimating binding free energy of the target interface by feeding the atomic distance, the atomic interaction force, and physicochemical information related to the specific residue and the mutant residue into a deep neural network.

Abstract: An antenna structure of reduced size but operating at multiple frequencies, applied to an electronic device, includes a housing, a system ground plane, and a first feed point. The housing has at least one portion made of metal material and defines a first gap and a second gap. The housing between the first gap and the second gap forms a first radiation portion. The system ground plane is positioned in the housing and defines a first slit. The first slit corresponds to the first radiation portion and communicates with the second gap. The first feed point is positioned on the first radiation portion and is electrically connected to a first feed source for feeding current and signal to the first radiation portion.

Abstract: A method includes: determining a mutation frequency for each residue in a wild-type spike protein of a specific virus; for each residue in the protein, counting a total number of contact residues related to said each residue and P antibodies based on P entries of protein structure data; for each residue in the protein, for a condition that said each residue mutates into one common amino acid residue, determining a normalized binding free energy value using a pre-established model based on the protein structure data, and determining a mutation effect score based on the mutation frequency, the total number of contact residues and the normalized binding free energy value; generating a mutation effect epitope map related to the mutation effect scores determined for all residues in the protein and all common amino acid residues; and determining, based on the map, a region in the protein as a target epitope.

Abstract: A phase interpolator capable of preventing a glitch from being generated during a clock signal switching operation and a clock signal selector thereof are provided. The clock signal selector includes a selector and a selection signal generator. The selector receives multiple clock signals with different phases. The selector selects one of the clock signals according to a selection signal to generate a selected clock signal. The selection signal generator is coupled to the selector and generates the selection signal. When the selector switches from selecting a first clock signal to selecting a second clock signal as the selected clock signal, the selection signal generator generates a set time point according to a transition point of one of the first clock signal and the second clock signal whose phase lags behind a phase of the other, and generates the selection signal according to the set time point.

Abstract: An image object classification method and system are disclosed. The method is executed by a processor coupled to a memory. The method includes: providing an image file including at least one image object, performing a process of extracting multiple binary-classified characteristics on the image object to obtain a plurality of first results independent of each other in categories, combining the plurality of first results in a manner of dimensionality reduction based on concatenation, performing a process of characteristics abstraction on the combined first results to obtain a second result, and performing a process of characteristics integration on the plurality of first results and the second result in a manner of dot product of matrices to obtain a classification result.