Company patents
Maxim Integrated Products, Inc.
Maxim Integrated Products, Inc. shows a surprising shift in its patent strategy, with a significant decline in its largest category, Power Conversion (DC/AC, DC/DC), which accounts for 20.9% of its portfolio but has seen a -55.6% YoY drop in 2025 and a further -25.0% so far in 2026. This contrasts with a fluctuating but notable resurgence in Machine Learning & AI, which experienced a +150.0% YoY growth in 2025, suggesting a potential, albeit inconsistent, emerging focus despite zero patents 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.
148 US filings (since 2023) · 12 categories · 25 themes
Methods and circuits for controlling the power electronic converters (inverters, bridges) that supply current and voltage to electric motors, including switching strategies, voltage command generation, and multi-phase configurations.
Design of power driver circuits for electric loads (e.g., LEDs, heating elements) focusing on efficiency, stability, noise reduction, and compensation for component degradation.
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.
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 and circuits for accurately identifying various electrical faults, such as ground faults, overcurrent, short circuits, switch malfunctions, or electrostatic discharge (ESD) events, often utilizing sensors, signal processing, and diagnostic algorithms.
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.
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.
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.
Techniques for designing and manufacturing compact, multi-functional magnetic components, such as inductors, transformers, and coils, often involving embedded structures, multilayer designs, or shared magnetic circuits to achieve higher power density or smaller form factors.
Circuit designs and control techniques focused on maximizing the power conversion efficiency of amplifiers, especially for radio frequency (RF) or audio applications, often involving load modulation, envelope tracking, or specific amplifier classes (e.g., Class-D, Doherty).
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.
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.
Methods and circuits to detect and compensate for various imperfections in amplifier operation, such as DC offset, gain errors, phase errors, duty-cycle errors, or input error components, to improve accuracy and signal integrity.
Amplifier designs that allow for dynamic adjustment of their operating characteristics, such as gain, impedance, or amplification path, based on control signals, input conditions, or desired performance modes.
Systems and methods for dynamically adjusting light output, distribution, color, or intensity based on environmental conditions, user presence, content, or specific application needs.
Utilizing dedicated hardware components, secure enclaves, or trusted execution environments to perform cryptographic operations, enhancing security, performance, or isolation from software vulnerabilities.
Sophisticated software or hardware-implemented control strategies that optimize motor performance, such as precise speed/torque regulation, vibration reduction, or efficiency, often using model-based, predictive, or adaptive techniques.
Devices and methods for accurately measuring or monitoring electrical current draw and power usage in various systems, often for control, optimization, or safety purposes.
Strategies and circuits for optimizing the supply and consumption of electrical power for motors, including current limiting, regenerative energy handling, battery integration, and managing power quality.
Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.
Software, algorithms, and associated hardware for monitoring, controlling, and optimizing battery performance, safety, and lifespan, including charge/discharge cycles, thermal regulation, and system integration.
Specialized circuits and devices designed to protect electrical and electronic systems from transient overvoltages caused by electrostatic discharge (ESD) or power surges, often involving suppressor diodes, gas discharge tubes (GDTs), or voltage clamping mechanisms.
Techniques for determining the rotor position, speed, or other operational parameters of an electric motor without dedicated physical sensors, often relying on back-EMF, current, or voltage measurements.
Systems and devices that utilize controlled magnetic fields, often generated by electromagnets, to produce mechanical motion, precise positioning, or manipulate physical phenomena like plasma distribution.
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.
Patents
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