Samsung Electronics Company, Ltd.

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.

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.

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 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.

Appliances and containers designed for specific cooking methods (e.g., air frying, sous vide), automated food preparation, or temperature-controlled storage and transport to maintain food quality.

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.

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 apparatus for improving the visual fidelity, resolution, or compression efficiency of video signals, often through advanced processing, up-scaling, or neural network-based filters.

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.

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.

Integration of communication and sensing functionalities within a single wireless system, often by designing waveforms or utilizing reference signals that serve both data transmission and environmental sensing (e.g., ranging, velocity detection) purposes.

Systems that combine data from multiple camera sensors or capture multiple images from different perspectives or qualities, often involving image processing techniques like synthesis to create enhanced or comprehensive views.

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.

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.

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.

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.

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.

Blenders, mixers, and cooking appliances featuring intelligent controls, load sensing, or specialized agitation mechanisms to optimize food processing, achieve desired consistency, and enhance performance.