Abstract: A secure multi-factor encrypted authentication method includes creating a Secure Personal Identifier (SPI) to authenticate the identity of a user, storing the SPI in immutable storage using an asymmetric encryption object of the user, and using the SPI to allow secure access to a digital resource. A multi-factor encrypted authentication system includes an access portal including an asymmetric encryption object, an immutable storage communicating with the access portal using the asymmetric encryption object, an identity server communicating with both the access portal and the immutable storage, and a filing system receiving identity information from the identity server and returning a hash (CID).

Abstract: Implementations relate to generating multi-modal response(s) through utilization of large language model(s) (LLM(s)). Processor(s) of a system can: receive natural language (NL) based input, generate a multi-modal response that is responsive to the NL based output, and cause the multi-modal response to be rendered. In some implementations, and in generating the multi-modal response, the processor(s) can process, using a LLM, LLM input (e.g., that includes at least the NL based input) to generate LLM output, and determine, based on the LLM output, textual content for inclusion in the multi-modal response and multimedia content for inclusion in the multi-modal response. In some implementations, the multimedia content can be obtained based on a multimedia content tag that is included in the LLM output and that is indicative of the multimedia content. In various implementations, the multimedia content can be interleaved between segments of the textual content.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating an ensemble of neural networks. In particular, the neural networks in the ensemble are trained using different hyperparameters from one another.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing a machine learning task on a network input to generate a network output. In one aspect, one of the systems includes a neural network configured to perform the machine learning task, the neural network including one or more expert neural network blocks that each include multiple routers and multiple expert neural networks.