Abstract: Systems and methods for dynamically delivering an asset based on a determined end use are provided. A computing system can receive a user input signal generated at a user device of a user and a video game signal related to an execution of a video game remotely from the user device. The computing system can determine a parameter of an asset of the video game by executing an artificial intelligence (AI) model. For example, the AI model can determine, using the user input signal and video game signal, a context of the execution of the video game. The context can indicate an end use of the asset by the user. The AI model can generate, using the determined context, an output indicating the parameter. The computing system can cause the asset to be rendered based on the parameter and to be transmitted as rendered to the user device.

Abstract: Techniques for described for game development. An example method can include receiving a natural language indication of a video game development task for a video game developer via a user device. The method can further include accessing a video game resource repository comprising a plurality of video game resources for a video game. The method can further include determining, via a machine learning model, a video game resource of the plurality of video game resources to be used for performing the video game development task based on the natural language indication and availability of the video game resource in the video game resource repository. The method can further include generating, via the machine learning model, a summarization of using the video game resource with respect to the video game development task. The method can further include sending the summarization of the video game resource to the user device.

Abstract: Circuits, methods, and code can reduce latency from a cloud server system to a developer by pre-processing and caching a number of possible outcomes. For example, a method performed by a cloud server system executing a gaming application can include determining that a remote client device is executing an integrated development environment in a debugging mode for code associated with the gaming application. In response, the method can include determining a set of available debugging steps for the code in the debugging mode. The method can include generating, for each debugging step in the set of available debugging steps, an output by executing an associated portion of the code. The method can include detecting, from the remote client device, a selected debugging step from the set of available debugging steps. The method can include, responsive to detecting the selected debugging step, providing the associated output to the remote client device.

Abstract: A device and method for predicting a system failure from update data comprising two or more unimodal modules configured to determine feature information regarding an update to a code section. A neural network is trained with a machine learning algorithm to predict a system failure probability for the code update data that modifies the code section. The trained neural network is provided with the feature information from the two or more unimodal modules.

Abstract: A method for automated generation of representative icons from images involves obtaining an image, generating an image vector from the image using an encoder deep neural network, generating an icon based on the image vector using a generative adversarial network (GAN), and outputting the icon.

Abstract: A method for automated generation of representative icons from images involves obtaining an image, generating an image vector from the image using an encoder deep neural network, generating an icon based on the image vector using a generative adversarial network (GAN), and outputting the icon.

Abstract: A carbon nanotube (CNT) resonator includes: a first CNT having a first end and a second end both fixed to a substrate; and a second CNT having a first end fixed to the substrate. The second CNT creates a Van der Waals (VdW) bond with the first CNT where the second CNT overlaps the first CNT. A length of the VdW bond along a distance between the first and the second CNTs oscillates based on a DC voltage applied between the first end of the first CNT and the first end of the second CNT. An electrical current passing through the first and the second CNTs using the VdW bond oscillates based on the oscillation of the length of the VdW bond.

Abstract: A method, a non-transitory computer readable medium, and a system are disclosed for recommending products based on usage of one or more multifunctional printers. The method includes collecting usage data from a multifunctional printer; classifying the usage data from the multifunctional printer into one or more categories; comparing the usage data from the multifunctional printer in each of the one or more categories to usage data from one or more other multifunctional printers; determining one or more usage patterns for the multifunctional printer from the comparison of the usage data between the multifunctional printer in each of the one or more categories to the usage data from one or more other multifunctional printers; identifying one or more products or services based on the one or more usage patterns for the multifunctional printer; and recommending one or more products or services for the multifunctional printer on a graphical user interface (GUI).

Abstract: A carbon nanotube (CNT) resonator includes: a first CNT having a first end and a second end both fixed to a substrate; and a second CNT having a first end fixed to the substrate. The second CNT creates a Van der Waals (VdW) bond with the first CNT where the second CNT overlaps the first CNT. A length of the VdW bond along a distance between the first and the second CNTs oscillates based on a DC voltage applied between the first end of the first CNT and the first end of the second CNT. An electrical current passing through the first and the second CNTs using the VdW bond oscillates based on the oscillation of the length of the VdW bond.

Abstract: A method for manufacturing a three-dimensional printed (3D-printed) object on a base plate. The method includes: depositing at least one block of a first material in a first layer directly onto the base plate; and depositing at least one block of a second material either in the first layer adjacent to the one or more blocks of the first material, or in a second layer directly onto the at least one block of the first material in the first layer. The first material is one of a non-auxetic structure or an auxetic structure, and the second material is the other one of the non-auxetic structure or the auxetic structure.