Company patents
Rambus Inc.
Rambus Inc's patent strategy reveals a strong, albeit recently decelerating, focus on core semiconductor and computing technologies, with Memory & Storage (Static) and Computer Hardware Architecture together accounting for over 91% of its portfolio. While Input/Output & User Interfaces saw rapid growth of +84.1% in 2024, indicating an emerging focus, the significant year-over-year declines across nearly all categories in 2025 and so far in 2026 suggest a potential shift in R&D investment or a more selective patenting approach, with Coding & Decoding and Semiconductor Packaging & Encapsulation showing complete cessation of patenting activity so far in 2026.
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.
867 US filings (since 2023) · 12 categories · 28 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.
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.
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.
Combining different types of functional chiplets (e.g., compute, memory, I/O, optical, power, biological) into a single package or system, often to optimize performance, power, or cost by leveraging specialized components.
Techniques for stacking multiple semiconductor dies or active layers vertically to achieve higher density and shorter interconnections, often utilizing through-silicon vias (TSVs) or other vertical conductive paths like through-hole electrodes.
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.
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.
Methods and architectures for processing digital signals to enhance quality, remove noise, manage group delay, and facilitate symbol decision, often involving digital filters and equalization techniques.
Techniques for efficiently supplying power to electronic devices, managing battery charge/discharge cycles, optimizing power consumption, and converting power between different voltage levels or AC/DC for improved energy efficiency and longevity.
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.
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.
Novel hardware designs and processing pipelines tailored for specific computational tasks, such as graphics rendering, neural network operations, or matrix transformations, often involving custom circuits, memory arrays, or data flow mechanisms.
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.
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.
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 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.
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 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.
Focuses on the architectural and circuit-level innovations for Analog-to-Digital Converters (ADCs) and Digital-to-Analog Converters (DACs) to improve speed, accuracy, linearity, and power efficiency. Includes specific types like SAR and Delta-Sigma, and their constituent components.
Techniques and circuits designed to identify, compensate for, or correct non-linearities, offsets, and other imperfections in signal processing paths, particularly within analog-to-digital, digital-to-analog, or digital-to-time converters.
Novel electrical connection methods within or between package components, including through-glass vias (TGVs), backside contacts, and optimized redistribution layers for improved signal and power integrity.
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.
Packaging technologies where bare dies are embedded within a mold compound or substrate cavity, and then interconnected using redistribution layers (RDLs) for fan-out or compact integration, often avoiding through-silicon vias in the chips themselves.
Digital logic and control circuits for managing power delivery, driving various loads (e.g., inductive, display elements), converting power, and protecting against over-voltage or electrostatic discharge. Includes gate drivers for power FETs and voltage level shifters.
Specialized digital and mixed-signal circuits for controlling and reading out quantum bits (qubits), including generating precise modulated RF signals and integrating with photonic components for quantum operations.
Digital logic circuits designed to interface with analog sensors or signals, including comparators, input buffers, differential input stages, and logic for processing sensor outputs (e.g., capacitance, optical, touch) for detection or measurement.
Patents
Showing 1-10 of 908
Memory System Performance & Reliability