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FM3 32-bit Arm® Cortex®-M3 microcontroller (MCU) families
- Overview
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FM4 32-bit Arm® Cortex®-M4 microcontroller (MCU) families
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32-bit TriCore™ AURIX™ – TC2x
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32-bit TriCore™ AURIX™ – TC3x
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Welcome to the future of efficient, reliable, and trustworthy Artificial Intelligence – enabled by innovative semiconductors for AI
Discover how Artificial Intelligence works, how it’s transforming life as we know it, and why semiconductors for AI are the unsung heroes behind the AI revolution. Learn about the crucial role of different types of AI chips, including processors, AI sensors, actuators, connectivity solutions, security semiconductors, as well as memory and storage solutions.
Dec 19, 2025
Artificial Intelligence (AI) is the key technology of the digital age and will be pivotal for many devices in the future. AI is already transforming the way we live, work, and communicate, with applications in automated driving, smart home devices, facial recognition, music streaming, voice translation, health treatments and support, navigation, service and industrial robots, and more.
AI is already changing the way we live
AI in daily life:
- Healthcare: "AI-powered diagnostic tools help doctors detect diseases faster and more accurately."
- Smart Homes: "Voice assistants like Alexa and Google help you control your home with a simple command."
- Transportation: "AI enables safer self-driving cars and more efficient traffic management."
- Entertainment: "AI suggests content you love, from your next favorite Netflix show to personalized playlists on Spotify."
Artificial Intelligence in real life
AI opens the doors to a range of applications - from automotive to the industrial and IoT. It is a way for computers to mimic human thinking and decision-making. It uses data and algorithms to learn, solve problems, and perform tasks like recognizing voices, understanding images, or suggesting the best movies to watch. Depending on the task and use case there are different categories of AI.
Edge AI – smarter and greener devices for intuitive real time interaction
In contrast to large AI models that require a vast amount of data processing and storage capacities, Edge AI processes and computes the collected data close to the device – at the edge. This reduces not only responding time (latency) but also saves energy.
a) Smart homes and buildings:
AI transforms buildings into intelligent environments by optimizing crucial central functions like heating, ventilation, air conditioning, lighting, and access control. It enables advanced features such as presence detection, air quality monitoring, predictive maintenance, and many other smart use cases. AI chips such as sensors, microcontrollers, power semiconductors and connectivity solutions enable buildings to collect meaningful data, gain insights and make better decisions to optimize operations according to occupant needs. This supports homes and buildings becoming greener, more efficient and more intuitive.
b) Health, lifestyle and wearables:
AI supports the next generation of health and wellness technologies. AI chips like sensors, computing, security, connectivity and power management solutions form the basis for health monitoring algorithms in lifestyle and healthcare wearables, enabling highly accurate and real-time sensing of altitude, location, vital signs and sounds while consuming the least amount of power. While the current generation of wearables relies mainly on data and algorithms in the cloud, the next generation of wearables will use sophisticated Edge AI on the device itself.
Automotive AI – reliable, safe, and secured systems for real-time critical applications
Alongside electrification, autonomous driving is one of the megatrend topics in the automotive sector and is inconceivable without the use of AI. The vehicle must react flawlessly to many complex scenarios in road traffic. To do this, it must perceive its environment and respond appropriately. This includes, for example, reliable pedestrian detection, the behaviour of other road users, road signs or traffic lights. When driving, a large amount of sensor data is collected, which in turn results in an almost impossible series of possible combinations. AI makes it possible to map this multitude of different and parallel processes and thus supports safe autonomous driving.
Industrial AI – self-learning systems for higher productivity, quality, and efficiency
The productivity of manufacturing processes can be significantly increased by automating them with the help of AI. Process monitoring or predictive maintenance plays a major role here, as it enables more efficient use of machinery and equipment. Semiconductor solutions for sensor-based condition monitoring detect anomalies in heating, ventilation and air conditioning (HVAC) systems as well as in motors, fans, drives, compressors and refrigeration systems. AI thus helps reduce downtime and maintenance costs and extends the service life of technical systems.
Semiconductors are the building blocks of AI systems, enabling machine learning, deep learning, generative AI, and other AI-related tasks. Semiconductors are tiny, powerful chips that act like the brain of AI. They collect and process enormous amounts of data at lightning speed, making it possible for AI to learn, decide, and act. Our focus at Infineon is to consider the entire ecosystem necessary to support AI functionalities. Key semiconductor components include:
- Processors: The "brains" of AI systems, executing instructions, performing calculations, and controlling data flow. Graphics Processing Units (GPUs) and Central Processing Units (CPUs) are specifically designed for AI and machine learning.
- AI sensors: Acting like sensory organs they collect and genere data for AI algorithms, including image sensors, audio sensors, and environmental sensors.
- Actuators: Power semiconductors managing power consumption, controlling motors, and ensuring reliable operation in AI systems.
- Connectivity solutions: Wireless and wired connectivity Integrated Circuits (ICs) enabling communication between AI systems, devices, and the cloud.
- Security semiconductors: Creating trust in AI systems by protecting sensitive data from unauthorized access and providing a secured environment for AI processing.
- Memory and storage: Volatile and non-volatile solutions for reliable data retrieval and storage in AI systems.
Infineon’s mission – to make life easier, safer and greener – is a perfect match for the opportunities that AI brings. However, this also comes with a caveat: AI indeed can make our lives easier, safer and greener; yet, at times AI can be difficult to understand, turn into a safety issue and be energy hungry. Therefore, Infineon strives to develop AI with the following characteristics:
As a global semiconductor manufacturer, we enable customers and partners to create energy-efficient, high-performance, and reliable AI applications. Our innovations in semiconductor technology will fuel the breakthroughs of tomorrow, enabling even faster, more energy-efficient AI. Our products, software, tools, solutions and services support the development of AI-based applications, from data and ML pipelines to high-performance, low-power AI-enabled MCUs.
We power AI – from grid to core: Creating a more sustainable future
The exponential data growth driven by digitalization and artificial intelligence is significantly increasing the energy and technology requirements of data centers.
Our innovative portfolio of power semiconductors includes solutions ranging from the grid entering the data center to its core, the AI processor and leverages the benefits of Silicon (Si), Silicon Carbide (SiC) and Gallium Nitride (GaN) to achieve the highest efficiency, density, and robustness. Examples of such applications include top-of-the-rack switches, power supply units, battery back-up units, DC-DC networking and computing (like 48 V Intermediate Bus Converters, power modules and discrete solutions), and protection. Additionally, with our novel power system reliability modeling solution data centers can maximize power supply reliability and uptime, enabling real-time power supply health monitoring based on dynamic system parameter logging.
We enable and provide AI – for reliable and efficient AI at the edge
We bring intelligence closer to where it’s needed by enabling AI to run directly on edge devices. With optimized models, energy-efficient hardware, and smart software solutions, we deliver reliable, fast, and secure AI processing—without relying on constant cloud connectivity. Our products, software, tools, and services enable customers and partners to create the AI-based applications of today and tomorrow.
We have the right solution for every AI project: Ranging from data, ML pipeline and chips to high-performance, low-power AI-enabled MCUs, modern sensors and easy-to-integrate AI solutions – customers can choose the right option for their design. So, Infineon supports to realize the potential of AI with minimal effort and upfront knowledge to develop AI-based applications of today and tomorrow. Make your applications smarter, more efficient, and privacy-focused with our edge AI solutions.
At Infineon, we power AI – from the grid to the core. Our cutting-edge semiconductor solutions enable efficient, scalable, and sustainable power delivery for hyperscale computing, datacom, and telecom applications. Ready to join the journey? Find more information on your career in Powering AI here.
But that’s not all. Infineon is an exciting home to all AI talents worldwide. Have a look at our latest job opening for Artificial Intelligence, Machine Learning and Data Science and many more in related fields.