Company patents
Silicon Motion, Inc.
Silicon Motion, Inc. demonstrates a strong, albeit recently decelerating, focus on core computing technologies, with Input/Output & User Interfaces representing 56.5% of its portfolio and Computer Hardware Architecture at 35.1%. While most categories show a significant decline in patenting activity in 2025 and so far in 2026, the rapid growth in Coding & Decoding (YoY +66.7% in 2024) and Pulse / Digital Logic Circuits (YoY +50.0% in 2024) suggests an emerging, albeit small, emphasis on communication and semiconductor circuit innovation before the overall slowdown.
Patent Trend by Technology Area
Yearly patent publications since 2023
Product themes
Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.
547 US filings (since 2023) · 12 categories · 18 themes
Hardware and control techniques for optimizing memory access latency, ensuring data integrity, and managing storage resources efficiently. This includes error correction, read/write voltage control, and intelligent data placement or in-memory computation.
Methods and circuits for detecting and mitigating defects, ensuring data integrity, and enabling self-testing and repair mechanisms within memory devices and subsystems.
Development of encoding and decoding algorithms and apparatuses for robust data transmission and storage, focusing on techniques like LDPC, polar codes, and iterative decoding methods to minimize bit errors and improve communication reliability.
Circuits and techniques for generating, synchronizing, interpolating, and recovering high-frequency clock signals and high-speed data streams, often involving reduced propagation delay, multi-level signaling, and robust sampling mechanisms.
Technologies for establishing and managing high-bandwidth, low-latency communication pathways between computing components, peripherals, or systems, focusing on signal integrity, synchronization, and interface standards.
Focuses on the physical design, materials, and manufacturing processes for individual memory cells, including transistor structures, interconnects, and multi-layered (3D) architectures to enhance density and performance.
Design and operation of analog and mixed-signal circuits within the memory array, such as page buffers, sense amplifiers, and data latches, responsible for reading and writing data from/to memory cells.
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.
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.
Utilizing dedicated hardware components, secure enclaves, or trusted execution environments to perform cryptographic operations, enhancing security, performance, or isolation from software vulnerabilities.
Methods and systems for efficiently reducing the size of digital data, often employing adaptive techniques, neural networks, or temporal modeling, to achieve high compression ratios while preserving data quality. Includes entropy coding.
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.
Encompasses strategies and technologies to ensure the availability, integrity, and recoverability of data and systems, including robust backup, replication, error correction, and efficient data restoration.
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.
Techniques for protecting data at rest or in backup, ensuring its integrity, confidentiality, and verifiable origin, often involving encryption, unique identifiers, or secure repositories.
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.
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.
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.
Patents
Showing 1-10 of 25
Granular Data Encryption & Access Control