RAKUTEN MOBILE, INC.

Systems and methods for automatically deploying, configuring, and updating network devices and services, including software updates, client onboarding, and topology management across various network types.

Techniques and systems designed to monitor network health, diagnose issues, optimize traffic flow, and ensure continuous operation and reduced downtime in complex network environments, including cloud and storage area networks.

Methods and systems for monitoring, controlling, and managing Internet of Things (IoT) devices and their communication networks, often involving adaptive or intelligent frameworks for data acquisition, relay, and automation.

Techniques and hardware architectures for optimizing the radio frequency (RF) front-end, antenna systems, and beamforming strategies in wireless networks to improve signal quality, capacity, and interference mitigation.

Systems and methods for collecting, processing, and ensuring the quality and consistency of data used for network monitoring, asset management, and operational decision-making, including conflict detection and reliability scoring.

Techniques and systems for optimizing network traffic flow, distributing loads across multiple paths or resources, and ensuring quality of service based on various criteria like application type, latency, or resource availability. This includes dynamic path selection, congestion control, and resource allocation.

Managing and optimizing network resources and services deployed at the edge of the network or within cloud environments, including distributed domain name resolution, resource exposure analysis, and traffic management specific to distributed architectures.

Methods and systems for protecting network resources and data from unauthorized access, misuse, or attack, encompassing authentication, authorization, encryption, and traffic filtering mechanisms. This includes securing communication channels and validating network access.

Systems and methods for securely and reliably delivering, installing, and managing software or firmware updates to distributed or embedded devices, often considering network conditions, resource constraints, or storage repartitioning.

Techniques and systems for reducing energy consumption in computer networks while maintaining or improving performance, often involving predictive modeling, simulation, and dynamic adjustments to network infrastructure.

Methods and systems for efficiently allocating computing resources, balancing workloads, and managing power states to improve performance, reduce energy consumption, or enhance reliability in computing platforms.

Techniques for distributing computational tasks, data storage, and service logic across cloud data centers, edge devices, and user equipment to improve performance, resilience, or resource utilization. This includes architectures for split rendering, decentralized ledgers, and microservices.

Involves systems designed to automatically detect errors or failures and initiate predefined or intelligent corrective actions, recovery procedures, or notifications to minimize downtime and manual intervention.

Systems and methods for authenticating users, devices, or applications, authorizing their access to resources based on policies, and managing digital identities across various platforms.

Technologies enabling the creation and management of virtual computing environments, including virtual machines and virtual desktops, with an emphasis on secure and efficient remote access, updates, and performance.

Systems and methods for identifying and blocking unauthorized access, malicious activities, or abnormal behavior within a network by analyzing traffic, system logs, or behavioral patterns.

Systems and methods for automating multi-step tasks, business processes, or service interactions, often involving AI agents, programmable interfaces, or formal orchestration languages to streamline operations.

Technologies for transmitting critical alerts and information during emergencies, often involving wireless networks, specialized devices, and protocols to ensure timely and targeted communication to users or emergency services.

Mobile applications and systems leveraging wireless communication and location data (e.g., GPS, RFID, geo-fencing) to provide context-specific services, transactions, or user interactions.

Methods for training machine learning models across multiple decentralized devices or servers while keeping data localized, often involving aggregation of model parameters and secure communication.

Utilizing specialized hardware components such as network processing units (NPUs) or dedicated acceleration circuits to offload and speed up network packet processing, traffic generation, or time-sensitive network operations.

Technologies for deploying, managing, and governing applications and services in cloud environments, particularly focusing on containerization, microservice architectures, API gateways, and distributed data management.

Platforms and methods for aggregating data from diverse sources, generating dynamic content, and delivering it efficiently to users, often involving social media, programmatic advertising, or interactive experiences within cloud environments.

User interface designs and systems that enable multiple users to interact with shared content, provide feedback, or coordinate activities, often across different devices or locations.

Systems and methods for monitoring, controlling, and optimizing the movement of unmanned aerial vehicles (UAVs) and other aircraft, including real-time connectivity, flight planning, and route modification.

Designing user interfaces and interaction methods specifically for mobile or wearable devices, enabling control of external systems, monitoring user states, or facilitating real-world transactions.

Techniques for monitoring system components and behaviors to anticipate failures, performance degradation, or anomalies, often leveraging machine learning for pattern recognition and forecasting.

Systems designed to streamline and automate various commercial transactions, including mobile-enhanced processes, secure online checkouts, customer service interactions, and privilege issuance, often leveraging digital authentication.

Techniques for rendering, interacting with, and managing content within augmented or virtual reality environments, including spatial tracking, gaze interaction, and dynamic multi-application display management.

Techniques and tools for automatically identifying, resolving, building, and packaging software dependencies, including managing versions, branches, and ensuring the integrity and security of the dependency chain.

Methods and systems for integrating, transforming, and managing complex or domain-specific data from disparate sources into a unified structure, often for specific applications like social networks, genomics, or business forms.

Systems and methods for automating the lifecycle of machine learning models, including pipeline deployment, model management, versioning, and configuring for different inference environments.

Systems and methods utilizing artificial intelligence, particularly large language models and neural networks, to extract, summarize, generate, or categorize information from unstructured or semi-structured data sources.

Specialized hardware, architectural designs, and computational methods to improve the speed, efficiency, and security of artificial intelligence and machine learning model execution, particularly for inference and data processing.

Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.

Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.