Company patents
Maxim Integrated Products, Inc.
Maxim Integrated Products, Inc. appears to be significantly shifting its patent strategy, as evidenced by a consistent decline in its largest category, Power Conversion (DC/AC, DC/DC), which has seen a -40.0% YoY drop in 2024 and a -55.6% YoY drop in 2025. While Machine Learning & AI saw a rapid 150.0% YoY growth in 2025, indicating a potential emerging focus, the overall trend across many categories, including Hardware Platform and Electrical Measurement, shows a substantial reduction in patenting activity, with zero patents so far in 2026 for several key areas.
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.
145 US filings (since 2023) · 12 categories · 23 themes
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 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.
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.
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.
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.
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.
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.
Development of devices and methods for non-invasive or minimally invasive collection and analysis of physiological data, often from wearable sensors, to monitor health, activity, or specific conditions.
Devices and methods for accurately measuring or monitoring electrical current draw and power usage in various systems, often for control, optimization, or safety purposes.
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.
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.
Design and application of devices that are inserted into the body or implanted to treat diseases, modulate physiological functions, or repair anatomical structures.
Patents
Showing 1-10 of 10
Physical Layer & Interface Optimization