Abstract: In one example, a semiconductor device can comprise a substrate, a device stack, first and second internal interconnects, and an encapsulant. The substrate can comprise a first and second substrate sides opposite each other, a substrate outer sidewall between the first substrate side and the second substrate side, and a substrate inner sidewall defining a cavity between the first substrate side and the second substrate side. The device stack can be in the cavity and can comprise a first electronic device, and a second electronic device stacked on the first electronic device. The first internal interconnect can be coupled to the substrate and the device stack. The encapsulant can cover the substrate inner sidewall and the device stack and can fill the cavity. Other examples and related methods are disclosed herein.

Abstract: The present invention relates to a method and device for diagnosing a defect of a collaborative robot, the method comprising the steps in which: an electronic device generates a sensing data structure for managing sensing data collected from at least one collaborative robot; the electronic device generates an operation data structure for managing operation data associated with the operation of the collaborate robot; the electronic device generates a malfunction data structure for managing malfunction data of a point in which the severity of the operation equals to or is higher than a threshold; and the electronic device stores data collected from the at least one collaborative robot in accordance with the structures. Application to other embodiments is also possible.

Abstract: An apparatus for generating a valid neural network architecture includes one or more processors, and a memory storing one or more programs which are configured to be executed by the one or more processors. The one or more programs include instructions for a neural network architecture parser and a neural network architecture generator, which the a neural network architecture parser configured to generate one or more abstract syntax trees corresponding to neural network architectures, respectively, by parsing one or more neural network architectures; and a neural network architecture generator configured to generate one or more new neural network architectures by substituting at least a portion of blocks of the abstract syntax tree with blocks compatible with the partial regions.

Abstract: A method for monitoring a job scheduler may be performed on a computing device including one or more processors and a memory storing one or more programs executed by the one or more processors. The method may include checking whether it is necessary to determine whether to expand a resource of a computing environment to be scheduled when a job is performed by scheduling by a job scheduler; calculating a value of a score function for a scheduling policy currently executing and a maximum value of a predetermined score function when it is necessary to determine whether to expand a resource of the computing environment to be scheduled; and determining to expand a resource of the computing environment to be scheduled based on the value of the score function and the maximum value of the predetermined score function.

Abstract: A neural network architecture embedding method according to an embodiment is performed by a computing device including one or more processors and a memory storing one or more programs executed by the one or more processors. The method generates a word data set for each of a plurality of layers of a neural network architecture on basis of one or more features of each of the plurality of layers, generates a graph regarding the neural network architecture on basis of the word data set and connection relationship between the plurality of layers, and generates a neural network architecture embedding vector for the neural network architecture by inputting the graph regarding the neural network architecture to a pre-trained network-vector transformation model.

Abstract: Provided herein are methods of culturing a mammalian cell in a liquid medium including poloxamer-188 at a concentration of 1.8 g/L or at a greater concentration than 1.8 g/L more or a liquid medium that includes a poloxamer-188 concentration that is selected based on one or more factors selected from the group of: pore size, pore type, gas flow rate, viable cell density in the medium, and markers related to cell stress.

Abstract: Provided herein are methods of culturing a mammalian cell in a liquid medium including poloxamer-188 at a concentration of 1.8 g/L or at a greater concentration than 1.8 g/L more or a liquid medium that includes a poloxamer-188 concentration that is selected based on one or more factors selected from the group of: pore size, pore type, gas flow rate, viable cell density in the medium, and markers related to cell stress.

Abstract: Biomass feedstocks (e.g., plant biomass, animal biomass, and municipal waste biomass) are processed to produce useful products, such as fuels. For example, systems are described that can convert feedstock materials to a sugar solution, which can then be fermented to produce a product such as a biofuel.

Abstract: Biomass feedstocks (e.g., plant biomass, animal biomass, and municipal waste biomass) are processed to produce useful products, such as fuels. For example, systems are described that can convert feedstock materials to a sugar solution, which can then be fermented to produce a product such as a biofuel.

Abstract: Provided herein are methods of culturing a mammalian cell in a liquid medium including poloxamer-188 at a concentration of 1.8 g/L or at a greater concentration than 1.8 g/L more or a liquid medium that includes a poloxamer-188 concentration that is selected based on one or more factors selected from the group of: pore size, pore type, gas flow rate, viable cell density in the medium, and markers related to cell stress.

Abstract: Biomass (e.g., plant biomass, animal biomass, and municipal waste biomass) is processed to produce useful intermediates and products, such as energy, fuels, foods or materials. For example, methods are described that can use feedstock materials, such as cellulosic and/or lignocellulosic materials, to produce an intermediate or product, e.g., by fermentation.

Abstract: Biomass feedstocks (e.g., plant biomass, animal biomass, and municipal waste biomass) are processed to produce useful products, such as fuels. For example, systems are described that can convert feedstock materials to a sugar solution, which can then be fermented to produce a product such as a biofuel.

Abstract: Biomass (e.g., plant biomass, animal biomass, and municipal waste biomass) is processed to produce useful intermediates and products, such as energy, fuels, foods or materials. For example, compositions and methods are described that can use feedstock materials, such as cellulosic and/or lignocellulosic materials, a cellulase and a second enzyme system including an amylase to produce an intermediate or product, e.g., by fermentation.

Abstract: Biomass (e.g., plant biomass, animal biomass, and municipal waste biomass) is processed to produce useful intermediates and products, such as energy, fuels, foods or materials. For example, methods are described that can use feedstock materials, such as cellulosic and/or lignocellulosic materials, to produce an intermediate or product, e.g., by fermentation.

Abstract: Biomass (e.g., plant biomass, animal biomass, and municipal waste biomass) is processed to produce useful intermediates and products, such as energy, fuels, foods or materials. For example, methods are described that can use feedstock materials, such as cellulosic and/or lignocellulosic materials, to produce an intermediate or product, e.g., by fermentation.

Abstract: Biomass feedstocks (e.g., plant biomass, animal biomass, and municipal waste biomass) are processed to produce useful products, such as fuels. For example, systems are described that can convert feedstock materials to a sugar solution, which can then be fermented to produce a product such as a biofuel.

Abstract: Biomass (e.g., plant biomass, animal biomass, and municipal waste biomass) is processed to produce useful intermediates and products, such as energy, fuels, foods or materials. For example, methods are described that can use feedstock materials, such as cellulosic and/or lignocellulosic materials, to produce an intermediate or product, e.g., by fermentation.