Abstract: A method of fabricating a device includes forming a dummy gate over a plurality of fins. Thereafter, a first portion of the dummy gate is removed to form a first trench that exposes a first hybrid fin and a first part of a second hybrid fin. The method further includes filling the first trench with a dielectric material disposed over the first hybrid fin and over the first part of the second hybrid fin. Thereafter, a second portion of the dummy gate is removed to form a second trench and the second trench is filled with a metal layer. The method further includes etching-back the metal layer, where a first plane defined by a first top surface of the metal layer is disposed beneath a second plane defined by a second top surface of a second part of the second hybrid fin after the etching-back the metal layer.

Abstract: A model building server and model building method thereof are provided. The model building server stores a model building program having a configuration combination. The model building server randomly generates a plurality of first configuration combination codes for feature categories, model algorithm categories and hyperparameters to set the configuration combination, and runs the model building program based on a first optimization algorithm to determine a first model. According to at least one determined feature category and at least one determined model algorithm category indicated by the configuration combination code corresponding to the first model, the model building server randomly generates a plurality of second configuration combination codes for features, model algorithms and hyperparameters to set the configuration combination, and runs the model building program based on a second optimization algorithm to determine an optimization model.

Abstract: A model training system, an operating method of the model training system and a portable electronic device are provided. The operating method is implemented by a processor. The model training system includes a first model and at least one second model. The processor receives an inputting data. The processor obtains a model difference between the first model and the second model according to the inputting data. The processor obtains an outputting accuracy of the second model according to the inputting data. The processor updates at least one parameter of the second model according to the outputting accuracy and the model difference.

Abstract: A model building server and model building method thereof are provided. The model building server stores a model building program having a configuration combination. The model building server randomly generates a plurality of first configuration combination codes for feature categories, model algorithm categories and hyperparameters to set the configuration combination, and runs the model building program based on a first optimization algorithm to determine a first model. According to at least one determined feature category and at least one determined model algorithm category indicated by the configuration combination code corresponding to the first model, the model building server randomly generates a plurality of second configuration combination codes for features, model algorithms and hyperparameters to set the configuration combination, and runs the model building program based on a second optimization algorithm to determine an optimization model.

Abstract: An electronic component is disclosed, the electronic component comprising: a conductive structure, comprising a plurality of conductive layers separated by a plurality of insulating layers, wherein the plurality of conductive layers and the plurality of insulating layers are stacked in a vertical direction, wherein the plurality of conductive layers forms at least one coil, wherein each of the coil is formed along the vertical direction across said plurality of conductive layers, wherein the plurality of insulating layers are not supported by a substrate.

Abstract: An oligomer-contained nanoparticle complex is provided. The oligomer-contained nanoparticle complex of the invention comprises (a) a nanoparticle, (b) a polymer with high molecule weigh, (c) a target molecule, (d) an oligomer, wherein the oligomer is crosslinked with the polymer by the intermolecular hydrogen bonds or electron bonds, and e) a space for active substances, wherein the space for active substances is encapsulated by the nanoparticle. The oligomer-contained nanoparticle complex of the invention has the high stability and fast drug release rate, and would not be largely accumulated in normal tissues. The invention also provides a method for preparing the oligomer-contained nanoparticle complex and the method for releasing drug.

Abstract: An oligomer-contained nanoparticle complex is provided. The oligomer-contained nanoparticle complex of the invention comprises (a) a nanoparticle, (b) a polymer with high molecule weigh, (c) a target molecule, (d) an oligomer, wherein the oligomer is crosslinked with the polymer by the intermolecular hydrogen bonds or electron bonds, and e) a space for active substances, wherein the space for active substances is encapsulated by the nanoparticle. The oligomer-contained nanoparticle complex of the invention has the high stability and fast drug release rate, and would not be largely accumulated in normal tissues. The invention also provides a method for preparing the oligomer-contained nanoparticle complex and the method for releasing drug.