Cisco Technology, 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.

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.

Design and configuration of adaptable frame structures, resource block groupings, and subcarrier spacings to optimize data transmission across diverse wireless environments and services, including considerations for fronthaul interfaces.

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.

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.

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.

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.

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.

Enhancements to the physical and data link layers of network communication, focusing on hardware components, signal integrity, power efficiency, and efficient data transfer mechanisms for specific interfaces and buses.

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.

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

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 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.

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.

Tools and processes for assessing, monitoring, and improving the security configuration and external accessibility of resources deployed within cloud computing environments.

Technologies for establishing and maintaining secure communication channels between devices or networks, often employing encryption, secure protocols, or virtual private networks (VPNs).

Systems and methods for encrypting data at a fine-grained level (e.g., per data unit or based on sensitivity) and controlling access to it, often involving delegated authorization, contextual policies, or secure data sharing.

Applying artificial intelligence and machine learning techniques to enhance cryptographic systems, such as generating encryption models, improving zero-trust architectures, or enabling privacy-preserving computations like federated learning.

Mechanisms to facilitate the secure exchange of data between different entities or systems while enforcing usage policies, managing digital content rights, and ensuring data consistency during replication or transfer.

The design and manufacturing of integrated circuits that combine optical and electronic components, particularly for high-speed data communication between processors and memory.

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

Techniques enabling simultaneous transmission and reception of signals on the same or adjacent frequency bands, including methods for managing and mitigating self-interference and configuring network resources for such operation.

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.

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 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.

Techniques for generating human-like text or other content using large pre-trained models, often involving prompt engineering, speculative decoding, or multi-modal inputs for content creation.

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.

Methods and systems for generating, distributing, updating, rotating, and securely destroying cryptographic keys to maintain data confidentiality and integrity over time, including quantum key distribution.

Utilizing dedicated hardware components, secure enclaves, or trusted execution environments to perform cryptographic operations, enhancing security, performance, or isolation from software vulnerabilities.

Systems and methods that utilize optical fibers as sensing elements or for transmitting sensing signals, often for distributed monitoring of environmental conditions, phase changes, or integrating sensing with communication.

Systems that process data to provide personalized recommendations, predict events, or automate decision-making processes based on learned patterns, user behavior, or environmental factors.

Methods for designing, transmitting, and utilizing specific reference signals (e.g., DMRS, SRS, PT-RS) to enable accurate channel estimation, interference measurement, synchronization, or sensing in wireless communication systems.

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

Techniques for protecting data at rest or in backup, ensuring its integrity, confidentiality, and verifiable origin, often involving encryption, unique identifiers, or secure repositories.

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.

Techniques and circuits designed to detect, estimate, and mitigate various physical layer signal impairments such as frequency spurs, phase noise, or non-linear distortions, thereby improving overall signal quality and system performance.

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.

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.

Techniques for encoding digital data onto analog carrier signals using complex constellation diagrams, multi-level signaling, or layered approaches, often combined with error correction codes, to achieve higher data rates, improved spectral efficiency, or extended range.

Systems and methods designed to ensure adherence to regulatory rules, corporate policies, or contractual agreements, often involving automated validation of electronic transactions, smart contract enforcement, or API governance.

Specialized cybersecurity solutions designed to protect industrial control systems (ICS), SCADA networks, and other operational technology environments from cyber threats and unauthorized access.

Methods for acquiring and utilizing accurate channel state information (CSI), including channel estimation and reciprocity transforms, to enable advanced spatial processing techniques like beamforming for improved signal quality and spectral efficiency.

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.

Focuses on using distributed ledger technology (DLT) like blockchain to secure financial transactions, manage digital identities, or ensure data integrity and traceability across various applications.

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.

Techniques for combining and analyzing information from multiple distinct data modalities (e.g., text, image, video, audio, sensor data) to derive richer insights or improve system performance and decision-making.

Engineering of artificial subwavelength structures (meta-atoms) to create metasurfaces that manipulate light properties (phase, polarization, wavelength) for multi-functional optical devices.

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

Development of sophisticated optical lens assemblies and computational methods to achieve high-resolution, precise, or specialized imaging, often for medical or scientific applications.

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.

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.

Systems enabling wireless communication between vehicles (V2V), vehicles and infrastructure (V2I), or vehicles and other entities (V2X) to share information for traffic management, safety, and navigation.