The patent describes a technology for generating videos using a series of generative neural networks. The process involves training neural networks to create visual sequences by learning from existing video datasets. These networks are structured in a sequence such that each network contributes specific aspects to the video content, potentially enhancing creativity and realism. By incorporating feedback loops and optimizing network parameters through machine learning techniques, the system aims to produce high-quality video outputs from minimal input data. This technology can be integral for industries requiring fast and innovative video production, such as entertainment, advertising, and virtual reality content creation.

The invention pertains to a head-mounted display (HMD) system aimed at providing an immersive augmented reality (AR) or virtual reality (VR) experience. The system incorporates advanced sensors and display technology to render high-quality visuals that blend digital and real-world environments seamlessly. The design is optimized for user comfort, includes gesture and voice control interfaces, and integrates with existing Apple ecosystems for enhanced functionality.

This patent by Google LLC outlines a technology for improved multimedia content management specifically designed for integration with Large Language Models (LLMs) and other generative models. The invention focuses on a sophisticated system that manages multimedia data in a way that optimizes the processing, storage, retrieval, and use of such data by generative models. Key functionalities include efficient indexing, contextual enrichment, and adaptive learning mechanisms to improve the interaction with and utility of multimedia content within generative applications.

The patent describes a system and method for accessing digital assets in an artificial reality universe via URLs. It enables users to interact with assets like avatars, objects, or environments in both 2D interfaces, such as web pages, and artificial reality interfaces, like virtual or augmented reality setups. The innovation bridges gaps between different interface modalities by standardizing access through URLs, thus making digital assets more accessible and linked between a broader range of devices and platforms.

The patent describes methods to adapt communication protocols and standards from non-terrestrial networks, such as satellite communication systems, to align with terrestrial standards and regulations. The invention provides a system where non-terrestrial networks can interoperate seamlessly with terrestrial networks, ensuring compatibility with existing communication infrastructure and regulatory frameworks. This involves translating non-terrestrial communication protocols to fit terrestrial standards, facilitating smoother integration and communication between different network types.

The patent describes a method for utilizing self-supervised learning to train machine learning models specifically designed for the domain of histopathology image processing. It leverages unlabeled data to improve training efficiency and accuracy in identifying and analyzing tissue samples. The invention aims to reduce the dependency on labeled data, which is often costly and time-consuming to acquire in medical domains. Additionally, the method may involve the use of contrastive learning techniques and focuses on enhancing the ability of models to generalize across various tissue types and histopathological features.

The invention refers to electronic devices featuring folding expandable displays. These devices incorporate flexible screens that can be manipulated to change the size of the display area, extending or reducing it as required. This capability is facilitated by a hinge mechanism that allows the flexible display to fold at a designated crease line without damaging the electronic components or display surface. The device structure ensures seamless transition between folded and expanded states. This technology is targeted at enhancing user experience by offering larger display screens when needed, and compact form factors for portability.

This patent relates to a method and system for generating high-resolution images from low-resolution inputs using machine learning techniques. Specifically, it involves a neural network architecture designed to upscale images with improved detail and accuracy. The system leverages advanced algorithms to interpolate pixel data, thereby maintaining image fidelity while increasing resolution. The method is particularly suited for applications in photography, video processing, and digital media where preserving detail in higher resolution outputs is crucial.

The invention involves a novel approach to speaker diarization using a neural network. It centers around a word-level end-to-end system integrating an auxiliary network (AuxNet) to improve the accuracy and efficiency of speaker diarization. Speaker diarization refers to the process of partitioning an audio stream into distinct audio segments associated with individual speakers. The proposed method improves upon traditional approaches by leveraging deep learning to handle the task at a finer word-level granularity rather than broader segment-level, making it possible to more accurately attribute words to speakers. This is achieved by using a neural network to process audio inputs and predict speaker changes and speaker identities simultaneously, which is enhanced by the auxiliary network that provides additional speaker-specific features to refine the diarization process.

The patent describes a head-mounted display (HMD) technology that integrates sensors, cameras, and other technologies to provide immersive augmented reality (AR) and virtual reality (VR) experiences. The invention focuses on a design that fits comfortably on the user's head while incorporating advanced optics and sensors to track user movements and environmental input. This system also aims to enhance the user's interaction with AR and VR environments by providing real-time feedback, improved display quality, and more intuitive controls.

This patent introduces a head-mounted display (HMD) system designed to enhance the immersive experience for users. The system addresses common issues in current HMDs, such as motion sickness and user discomfort, by integrating advanced display modules with optimized refresh rates, precise eye-tracking, and adaptive optics. It also includes features to allow seamless interaction with augmented reality (AR) and virtual reality (VR) environments. The device is equipped with sensors to monitor the user's physical state and adjust the visual output accordingly, ensuring higher comfort and reducing strain during prolonged use. The invention focuses on delivering high-resolution visuals with minimal latency, making it suitable for both AR and VR applications. The system is designed to be lightweight, ensuring user comfort over extended periods.

The patent presents a system and method for enabling three-dimensional immersive applications within multi-user communication sessions, allowing participants to interact within a 3D environment during virtual meetings or calls. Through the use of advanced rendering and virtual reality technologies, users can manipulate objects, engage collaboratively in a shared space, and experience real-time interactions as if they were physically present together. The system integrates with existing communication platforms to provide enhanced virtual environments, accommodating various applications ranging from business meetings to social interactions.

This patent outlines a system leveraging neural networks for fault detection in autonomous driving applications. By employing machine learning algorithms, specifically neural networks, the system analyzes real-time data from vehicle sensors to identify abnormalities or faults. This allows autonomous vehicles to detect potential failures, enhance safety, and maintain optimal performance by taking corrective measures preemptively.

The patent relates to a head-mounted display system designed to provide users with immersive visual experiences by projecting images directly in front of the user's eyes. This system includes advanced optics and sensors to track the user's head movements to adjust the display correspondingly, optimizing user experience and ensuring low latency. It is designed to integrate seamlessly with computing devices, enabling enhanced virtual and augmented reality experiences.

The patent describes a head-mounted display system which significantly enhances user interaction by integrating advanced AR (Augmented Reality) and VR (Virtual Reality) capabilities. The device is equipped with high-resolution displays and sensors that track user head movements for seamless immersive experience. It introduces novel features like real-time environment mapping, gesture controls, and eye-tracking technology to provide a natural and intuitive user interface. The system also focuses on reducing nausea often associated with prolonged use of AR/VR headsets by optimizing refresh rates and display lag.