Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating images. In one aspect, a method includes: receiving an input text prompt including a sequence of text tokens in a natural language; processing the input text prompt using a text encoder neural network to generate a set of contextual embeddings of the input text prompt; and processing the contextual embeddings through a sequence of generative neural networks to generate a final output image that depicts a scene that is described by the input text prompt.

Abstract: Provided herein are modified antibodies, compounds used to make them, and intermediates in their synthesis; compositions; formulations and methods, including methods of treating diseases, disorders or conditions, for example, cancer, in humans.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing inputs using recurrent neural networks. One of the systems includes a main recurrent neural network comprising one or more recurrent neural network layers and a respective hyper recurrent neural network corresponding to each of the one or more recurrent neural network layers, wherein each hyper recurrent neural network is configured to, at each of a plurality of time steps: process the layer input at the time step to the corresponding recurrent neural network layer, the current layer hidden state of the corresponding recurrent neural network layer, and a current hypernetwork hidden state of the hyper recurrent neural network to generate an updated hypernetwork hidden state.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using multi-task neural networks. One of the methods includes receiving a first network input and data identifying a first machine learning task to be performed on the first network input; selecting a path through the plurality of layers in a super neural network that is specific to the first machine learning task, the path specifying, for each of the layers, a proper subset of the modular neural networks in the layer that are designated as active when performing the first machine learning task; and causing the super neural network to process the first network input using (i) for each layer, the modular neural networks in the layer that are designated as active by the selected path and (ii) the set of one or more output layers corresponding to the identified first machine learning task.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using multi-task neural networks. One of the methods includes receiving a first network input and data identifying a first machine learning task to be performed on the first network input; selecting a path through the plurality of layers in a super neural network that is specific to the first machine learning task, the path specifying, for each of the layers, a proper subset of the modular neural networks in the layer that are designated as active when performing the first machine learning task; and causing the super neural network to process the first network input using (i) for each layer, the modular neural networks in the layer that are designated as active by the selected path and (ii) the set of one or more output layers corresponding to the identified first machine learning task.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing inputs using recurrent neural networks. One of the systems includes a main recurrent neural network comprising one or more recurrent neural network layers and a respective hyper recurrent neural network corresponding to each of the one or more recurrent neural network layers, wherein each hyper recurrent neural network is configured to, at each of a plurality of time steps: process the layer input at the time step to the corresponding recurrent neural network layer, the current layer hidden state of the corresponding recurrent neural network layer, and a current hypernetwork hidden state of the hyper recurrent neural network to generate an updated hypernetwork hidden state.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using multi-task neural networks. One of the methods includes receiving a first network input and data identifying a first machine learning task to be performed on the first network input; selecting a path through the plurality of layers in a super neural network that is specific to the first machine learning task, the path specifying, for each of the layers, a proper subset of the modular neural networks in the layer that are designated as active when performing the first machine learning task; and causing the super neural network to process the first network input using (i) for each layer, the modular neural networks in the layer that are designated as active by the selected path and (ii) the set of one or more output layers corresponding to the identified first machine learning task.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using multi-task neural networks. One of the methods includes receiving a first network input and data identifying a first machine learning task to be performed on the first network input; selecting a path through the plurality of layers in a super neural network that is specific to the first machine learning task, the path specifying, for each of the layers, a proper subset of the modular neural networks in the layer that are designated as active when performing the first machine learning task; and causing the super neural network to process the first network input using (i) for each layer, the modular neural networks in the layer that are designated as active by the selected path and (ii) the set of one or more output layers corresponding to the identified first machine learning task.

Abstract: A method, apparatus, article of manufacture, and a memory structure for providing a security infrastructure that permits the programming of limited hardware resources that can accept newly downloaded applications and securely support a very large number of services offered by content providers each have the potential to utilize their own independent CAS/DRM system. The CE device owner can consume content from a variety of sources and enable switching among different and existing CAS/DRM security profiles as required by the content provider applications loaded in CE devices.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using multi-task neural networks. One of the methods includes receiving a first network input and data identifying a first machine learning task to be performed on the first network input; selecting a path through the plurality of layers in a super neural network that is specific to the first machine learning task, the path specifying, for each of the layers, a proper subset of the modular neural networks in the layer that are designated as active when performing the first machine learning task; and causing the super neural network to process the first network input using (i) for each layer, the modular neural networks in the layer that are designated as active by the selected path and (ii) the set of one or more output layers corresponding to the identified first machine learning task.

Abstract: A method, apparatus, article of manufacture, and a memory structure for providing a security infrastructure that permits the programming of limited hardware resources that can accept newly downloaded applications and securely support a very large number of services offered by content providers each have the potential to utilize their own independent CAS/DRM system. The CE device owner can consume content from a variety of sources and enable switching among different and existing CAS/DRM security profiles as required by the content provider applications loaded in CE devices.

Abstract: A method, apparatus, article of manufacture, and a memory structure for providing a security infrastructure that permits the programming of limited hardware resources that can accept newly downloaded applications and securely support a very large number of services offered by content providers each have the potential to utilize their own independent CAS/DRM system. The CE device owner can consume content from a variety of sources and enable switching among different and existing CAS/DRM security profiles as required by the content provider applications loaded in CE devices.

Abstract: A thermally conductive grease includes 2 vol % to 15 vol % of a combination of three polyorganosiloxanes and 65 vol % to 98 vol % of a thermally conductive filler. The grease may be used as a thermal interface material for dissipating heat from (opto)electronic devices, in both TIM1 and TIM2 applications.

Abstract: A thermally conductive grease includes 2 vol % to 15 vol % of a combination of three polyorganosiloxanes and 65 vol % to 98 vol % of a thermally conductive filler. The grease may be used as a thermal interface material for dissipating heat from (opto)electronic devices, in both TIM1 and TIM2 applications.

Abstract: A method and apparatus for storing and retrieving program material for subsequent replay is disclosed.

Abstract: A method and apparatus for storing and retrieving program material for subsequent replay is disclosed. The method comprises the steps of receiving a data stream comprising the program material encrypted according to a first encryption key, decrypting the program material; re-encrypting the program material according to a second encryption key; and storing the re-encrypted material in a media storage device. The program material is played back by retrieving the re-encrypted material from the media storage device and decrypting the re-encrypted program material. In one embodiment, the second encryption key is derived from metadata describing replay rights. In a further embodiment, the media storage device also stores the second encryption key which has been further encrypted by a key that is unique to the device used to receive the program material.

Abstract: An apparatus and method for transmission security is presented. A receiver communicatively coupleable to an identifiable conditional access module (CAM) to enable reception of the service uses an authenticator to control the operability of the receiver according to a comparison between the identified conditional access module and a list of conditional access modules.

Abstract: A method, apparatus, and article of manufacture provide the ability to process digital media content. A secret key (Ka) is obtained and encrypted into an authorization key message (AKM) message. One or more entitlement keys (Ke) are then obtained and encrypted using the secret key (Ka) as an encryption key into an entitlement management message (EMM). One or more media content encryption keys (Kc) are obtained and encrypted using one or more of the entitlement keys (Ke) as encryption keys into an entitlement control message (ECM). Digital media data content (Dc) is then obtained and encrypted using the one or more media content encryption keys (Kc). The AKM, EMM, ECM, and encrypted digital media data content are then delivered to a set-top box that is configured to provide digital media services with the content.

Abstract: Silicone resins comprising 5 to 50 mole % of (PhSiO3-x)/2(OH)x) units and 50 to 95 mole % (HSiO(3-x)/2(OH)x), where Ph is a phenyl group, x has a value of 0, 1 or 2 and wherein the cured silicone resin has a critical surface free energy of 30 dynes/cm or higher. These resins are useful as etch stop layers for organic dielectric materials having a critical surface free energy of 40 dynes/cm or higher.

Abstract: Silicone resins comprising 5 to 50 mole % of (PhSiO3−x)/2(OH)x) units and 50 to 95 mole % (HSiO(3−x)/2(OH)x), where Ph is a phenyl group, x has a value of 0, 1 or 2 and wherein the cured silicone resin has a critical surface free energy of 30 dynes/cm or higher. These resins are useful as etch stop layers for organic dielectric materials having a critical surface free energy of 40 dynes/cm or higher.