Abstract: A semiconductor device includes a transistor having a source/drain and a gate. The semiconductor device also includes a conductive contact for the transistor. The conductive contact provides electrical connectivity to the source/drain or the gate of the transistor. The conductive contact includes a plurality of barrier layers. The barrier layers have different depths from one another.

Abstract: A semiconductor device structure is provided. The semiconductor device structure includes a dielectric structure over the substrate. The semiconductor device structure includes a contact structure passing through the dielectric structure. The contact structure includes a contact layer, a first barrier layer, and a second barrier layer, the contact layer passes through the first barrier layer, the first barrier layer passes through the second barrier layer, the first barrier layer surrounds the contact layer, the second barrier layer surrounds a first upper portion of a sidewall of the first barrier layer and exposes a first lower portion of the sidewall of the first barrier layer, and the sidewall faces away from the contact layer.

Abstract: Apparatuses, systems, and techniques are presented to generate digital content. In at least one embodiment, one or more neural networks are used to generate video information based at least in part upon voice information and a combination of image features and facial landmarks corresponding to one or more images of a person.

Abstract: Apparatuses, systems, and techniques to generate a video using two or more images comprising objects to be included in the video. In at least one embodiment, objects are identified in two or more images using one or more neural networks, to generate a video to include the objects in the video.

Abstract: Apparatuses, systems, and techniques are presented to synthesize consistent images or video. In at least one embodiment, one or more neural networks are used to generate one or more second images based, at least in part, on one or more point cloud representations of one or more first images.

Abstract: A semiconductor device includes a transistor having a source/drain and a gate. The semiconductor device also includes a conductive contact for the transistor. The conductive contact provides electrical connectivity to the source/drain or the gate of the transistor. The conductive contact includes a plurality of barrier layers. The barrier layers have different depths from one another.

Abstract: A semiconductor device includes a transistor having a source/drain and a gate. The semiconductor device also includes a conductive contact for the transistor. The conductive contact provides electrical connectivity to the source/drain or the gate of the transistor. The conductive contact includes a plurality of barrier layers. The barrier layers have different depths from one another.

Abstract: Apparatuses, systems, and techniques are presented to generate image data. In at least one embodiment, one or more neural networks are used to cause a lighting effect to be applied to one or more objects within one or more images based, at least in part, on synthetically generated images of the one or more objects.

Abstract: A semiconductor device structure is provided. The semiconductor device structure includes a contact layer over a metal silicide layer. The contact layer extends through a first dielectric structure. The semiconductor device structure includes a first metal nitride barrier layer over sidewalls of the contact layer. The first metal nitride barrier layer is directly adjacent to the first dielectric structure. The semiconductor device structure includes a second metal nitride barrier layer partially between the contact layer and the metal silicide layer and partially between the contact layer and the first metal nitride barrier layer. The metal silicide layer is below the first metal nitride barrier layer and the second metal nitride barrier layer.

Abstract: A latent code defined in an input space is processed by the mapping neural network to produce an intermediate latent code defined in an intermediate latent space. The intermediate latent code may be used as appearance vector that is processed by the synthesis neural network to generate an image. The appearance vector is a compressed encoding of data, such as video frames including a person's face, audio, and other data. Captured images may be converted into appearance vectors at a local device and transmitted to a remote device using much less bandwidth compared with transmitting the captured images. A synthesis neural network at the remote device reconstructs the images for display.

Abstract: Apparatuses, systems, and techniques are presented to generate one or more images. In at least one embodiment, one or more neural networks are used to generate one or more images of one or more objects based, at least in part, on a model of the one or more objects and texture information.

Abstract: A semiconductor device structure is provided. The semiconductor device structure includes a dielectric structure over the substrate. The semiconductor device structure includes a contact structure passing through the dielectric structure. The contact structure includes a contact layer, a first barrier layer, and a second barrier layer, the contact layer passes through the first barrier layer, the first barrier layer passes through the second barrier layer, the first barrier layer surrounds the contact layer, the second barrier layer surrounds a first upper portion of a sidewall of the first barrier layer and exposes a first lower portion of the sidewall of the first barrier layer, and the sidewall faces away from the contact layer.

Abstract: Apparatuses, systems, and techniques for texture synthesis from small input textures in images using convolutional neural networks. In at least one embodiment, one or more convolutional layers are used in conjunction with one or more transposed convolution operations to generate a large textured output image from a small input textured image while preserving global features and texture, according to various novel techniques described herein.

Abstract: A semiconductor device structure is provided. The semiconductor device structure includes a dielectric structure over the substrate. The semiconductor device structure includes a contact structure passing through the dielectric structure. The contact structure includes a contact layer, a first barrier layer, and a second barrier layer. The first barrier layer surrounds the contact layer, the second barrier layer surrounds a first upper portion of the first barrier layer, the contact layer passes through the first barrier layer and extends into the dielectric structure, and the first barrier layer passes through the second barrier layer and extends into the dielectric structure.

Abstract: Apparatuses, systems, and techniques are presented to reconstruct one or more images. In at least one embodiment, one or more neural networks are used to generate one or more images of one or more objects based, at least in part, on input indicating motion of the one or more objects.

Abstract: A latent code defined in an input space is processed by the mapping neural network to produce an intermediate latent code defined in an intermediate latent space. The intermediate latent code may be used as appearance vector that is processed by the synthesis neural network to generate an image. The appearance vector is a compressed encoding of data, such as video frames including a person's face, audio, and other data. Captured images may be converted into appearance vectors at a local device and transmitted to a remote device using much less bandwidth compared with transmitting the captured images. A synthesis neural network at the remote device reconstructs the images for display.

Abstract: A latent code defined in an input space is processed by the mapping neural network to produce an intermediate latent code defined in an intermediate latent space. The intermediate latent code may be used as appearance vector that is processed by the synthesis neural network to generate an image. The appearance vector is a compressed encoding of data, such as video frames including a person's face, audio, and other data. Captured images may be converted into appearance vectors at a local device and transmitted to a remote device using much less bandwidth compared with transmitting the captured images. A synthesis neural network at the remote device reconstructs the images for display.

Abstract: A latent code defined in an input space is processed by the mapping neural network to produce an intermediate latent code defined in an intermediate latent space. The intermediate latent code may be used as appearance vector that is processed by the synthesis neural network to generate an image. The appearance vector is a compressed encoding of data, such as video frames including a person's face, audio, and other data. Captured images may be converted into appearance vectors at a local device and transmitted to a remote device using much less bandwidth compared with transmitting the captured images. A synthesis neural network at the remote device reconstructs the images for display.

Abstract: A latent code defined in an input space is processed by the mapping neural network to produce an intermediate latent code defined in an intermediate latent space. The intermediate latent code may be used as appearance vector that is processed by the synthesis neural network to generate an image. The appearance vector is a compressed encoding of data, such as video frames including a person's face, audio, and other data. Captured images may be converted into appearance vectors at a local device and transmitted to a remote device using much less bandwidth compared with transmitting the captured images. A synthesis neural network at the remote device reconstructs the images for display.

Abstract: A method for performing an electrochemical plating (ECP) process includes contacting a surface of a substrate with a plating solution comprising ions of a metal to be deposited, electroplating the metal on the surface of the substrate, in situ monitoring a plating current flowing through the plating solution between an anode and the substrate immersed in the plating solution as the ECP process continues, and adjusting a composition of the plating solution in response to the plating current being below a critical plating current such that voids formed in a subset of conductive lines having a highest line-end density among a plurality of conductive lines for a metallization layer over the substrate are prevented.