Texas Instruments Unveils Edge AI-Enabled Microcontrollers for Enhanced Real-Time Control

Texas Instruments Introduces Edge AI-Enabled Microcontrollers

Texas Instruments (TI) has unveiled two new series of real-time microcontrollers (MCUs) designed to enhance intelligent and secure processing in automotive and industrial applications. The announcement, made at electronica 2024 in Munich, Germany, showcases TI's commitment to advancing system efficiency, safety, and sustainability through innovative semiconductor solutions 1

1

2

TMS320F28P55x Series: Industry's First Edge AI-Enabled MCUs

The TMS320F28P55x series of C2000™ MCUs represents a significant leap in microcontroller technology. As the industry's first portfolio of real-time MCUs with an integrated neural processing unit (NPU), these devices enable fault detections with high accuracy and low latency 1

1

Key features of the TMS320F28P55x series include:

• Integrated NPU for offloading neural network model execution
• 5-10 times lower latency compared to software implementations
• Greater than 99% fault detection accuracy
• Ability to learn and adapt to different environments through training

These advancements allow engineers to design systems capable of making accurate, intelligent decisions in real-time, particularly useful for applications such as arc fault detection in solar and energy storage systems and motor-bearing fault detection for predictive maintenance 2

2

F29H85x Series: Advanced Architecture with Enhanced Safety and Security

Built on TI's new 64-bit C29 digital signal processor core, the F29H85x series offers an advanced architecture with integrated safety and security features. This series is designed to meet the growing demand for MCUs with expanded capabilities 1

1

2

Notable features of the F29H85x series include:

• More than double the real-time signal-chain performance of the previous C28 core
• Compliance with ISO 26262 and IEC 61508 safety standards up to ASIL D and SIL 3
• Fully isolated hardware security module for cybersecurity protection
• TI's proprietary safety and security unit for runtime safety without performance penalties

Related Stories

STMicroelectronics Launches STM32N6: A Powerful Edge AI Microcontroller Series

NXP Unveils i.MX 94 Family: Advanced Processors for Industrial and Automotive Edge Computing

Texas Instruments says AI data center demand will stay strong as Q2 revenue jumps 23%

Texas Instruments to Invest Over $60 Billion in US Semiconductor Manufacturing, Boosting AI and Tech Industries

Addressing Industry Challenges

These new MCU series address several key challenges faced by engineers in automotive and industrial sectors:

1. Energy efficiency and faster decision-making
2. Need for scalable processing power and expanded memory
3. On-chip safety and security enablers
4. Shift from discrete to integrated solutions in vehicles

Amichai Ron, senior vice president of TI Embedded Processing, emphasized the importance of these advancements: "Today's introduction of enhanced real-time performance and edge AI in our C2000 portfolio will empower engineers to solve more complex problems and reach higher levels of system efficiency, safety and sustainability" 1

1

TI at electronica 2024

At electronica 2024, TI is showcasing how its analog and embedded processing products are contributing to a more intelligent and sustainable future. Demonstrations include advancements in robotics, industrial communications, edge AI, intelligent systems, energy infrastructure, and software-defined vehicles 2

2

The event features presentations by TI experts on topics such as:

• Reinventing real-time control with advanced CPU architecture
• Enabling cybersecurity for high-performance real-time microcontrollers
• Embedded AI: Bridging the gap from high-level neural network design to low-level embedded execution
• Network redundancy for smart grid performance measurements

These new MCU series from Texas Instruments represent a significant step forward in embedded processing technology, offering enhanced capabilities for edge AI and real-time control that promise to drive innovation across multiple industries.