Siemens Aktiengesellschaft

Systems and methods enabling the monitoring, configuration, and operation of industrial equipment and processes from a distance, often utilizing wireless communication protocols and networked platforms for enhanced flexibility and access.

Applying machine learning and artificial intelligence models to analyze industrial data, predict system behavior, and optimize control strategies for improved efficiency, quality, or environmental compliance in manufacturing and operations.

Devices and systems designed to protect electrical circuits from overcurrents, short circuits, and other faults, often involving rapid response, high voltage/current handling, and sophisticated interruption mechanisms.

Systems and methods for real-time sensing, modeling, and closed-loop control of additive manufacturing parameters to ensure part quality, consistency, and process efficiency. This includes thermal management, atmospheric regulation, and precise material deposition.

Methods and systems for identifying anomalies, failures, or impending issues within electric motors or their associated drive and power management circuits, often by monitoring electrical or operational parameters.

Methods and structures employed within switches and circuit breakers to safely and efficiently quench electrical arcs generated during contact separation, preventing damage and ensuring reliable interruption.

Focuses on novel circuit configurations for DC-DC, DC-AC, or AC-DC conversion, often involving resonant operation, multi-level structures, or switched capacitors to improve efficiency, power density, or voltage conversion ratios.

Utilizing sensor data, historical performance, and analytical models to anticipate equipment failures, diagnose faults, and estimate remaining useful life, thereby enabling proactive maintenance and reducing downtime.

Integration of power converters with energy storage devices (batteries, supercapacitors) or grid interfaces, often involving AC/DC conversion, power flow management, and fault handling for hybrid power systems or specific applications like EVs or PV.

Control systems designed to monitor, optimize, and manage energy generation, storage, distribution, and consumption within industrial facilities or interconnected power networks to improve efficiency and meet regulatory requirements.

Technologies for efficiently delivering power to electric vehicles, encompassing fast charging, wireless charging, and smart grid integration, alongside vehicle-side control and management of the charging process.

Creating virtual representations (digital twins) of physical industrial assets or processes for simulation and analysis, often combined with blockchain technology for secure data traceability and distributed control.

Techniques and circuits designed to regulate output, manage input variations, mitigate resonance, or ensure stable operation of power converters under diverse load and source conditions. This includes adaptive, predictive, or fault-tolerant control schemes.

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

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.

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.

Integrated solutions for dissipating heat generated by high-density semiconductor devices within the package, including embedded cooling structures, cold plates, and optimized fluidic channels.

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.

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

Design and control of power supply architectures that combine multiple power sources (e.g., AC grid, DC battery, generators) or modular battery units, often featuring switching, conversion, and redundancy for enhanced reliability and flexibility.

Software, algorithms, and associated hardware for monitoring, controlling, and optimizing battery performance, safety, and lifespan, including charge/discharge cycles, thermal regulation, and system integration.

Mechanical, electromagnetic, or hydraulic systems used to physically operate the contacts of a switch or circuit breaker, focusing on the linkages, motors, coils, or fluid dynamics involved.

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.

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.

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

Techniques and apparatus for electrically testing semiconductor devices, integrated circuits, or wafers during manufacturing or post-assembly, including built-in self-test (BIST) and contact reliability assessment.

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.

Switches designed for specific applications within larger systems (e.g., automotive, IoT, industrial control), often incorporating sensors, control logic, wireless communication, or specialized mechanical interfaces.

Systems that use user data, preferences, and machine learning to generate tailored advice, product recommendations, goal-setting plans, or contextual information for individuals across different domains.

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

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

Techniques utilizing deep learning models like Generative Adversarial Networks (GANs) or diffusion models to create new images, modify existing ones, or generate synthetic data based on various inputs or conditions.

Systems and methods for transferring electrical energy without physical contact, often utilizing inductive or resonant coupling, including antenna design, resonance tracking, and control mechanisms for efficient power delivery.

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

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.

Techniques and systems for precisely measuring electrical or electromagnetic properties of materials or components, often involving specialized resonators, waveguides, or multi-range measurement systems to ensure accuracy.

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.

Automated systems using image processing and artificial intelligence to identify, classify, and assess the extent of damage to structures or objects, supporting maintenance or insurance claims.

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

Technologies for securing, managing, and transacting with virtual currencies, non-fungible tokens (NFTs), and other blockchain-based digital assets, including hardware wallets and tokenization schemes for various purposes.

Methods and systems for improving the quality of video streams, generating intermediate frames, or continuously locating and following objects within a sequence of images, even under occlusion.

Systems that incorporate solar panels as a primary or auxiliary power source for various applications, including visual displays, remote devices, and portable battery charging, often emphasizing efficiency and adaptability.

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

Methods and apparatus for measuring magnetic fields or utilizing magnetic resonance principles for medical diagnostics, material analysis, or precise localization, including gradient field measurement in MRI.

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.

Processes for creating or manipulating three-dimensional digital representations of objects or environments, including mesh generation, surface fitting, and depth estimation from multiple views.

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

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.

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.

Design and manufacturing of key switches and keycaps that incorporate lighting elements for backlighting, indication, or aesthetic purposes, often involving translucent materials and light-shielding layers.