Texas Instruments (TI) just launched two new microcontroller families packed with edge AI capabilities, reinforcing their push to bring AI to every corner of their embedded processing lineup. The MSPM0G5187 and AM13Ex Edge AI MCUs feature TI’s TinyEngine NPU, a dedicated hardware accelerator that slashes latency and power use for deep learning inference right at the edge.
TI backs this with a robust ecosystem, including the CCStudio IDE, now supercharged with generative AI that lets engineers use plain language for faster coding, configuration, and debugging. You’ll see these innovations live at TI’s booth during embedded world 2026 in Nuremberg (March 10-12).
Smarter Tech for Everyday Devices
Consumers want intelligence in fitness trackers, home appliances, and even circuit breakers, but many engineers think AI is too pricey or power-hungry for simpler devices. Enter the MSPM0G5187, an Arm Cortex-M0+ MCU that flips the script.
Priced under $1 (1ku), it handles AI workloads locally via the TinyEngine NPU, which crunches neural networks in parallel with your main app code.
Up to 90x lower latency per inference, 120x less energy, and a smaller flash footprint. Battery-powered gadgets can now run AI without breaking the bank.
Real-Time Motors + AI in One Chip
For appliances, robotics, and industrial gear, motor control increasingly needs smarts like adaptive algorithms and predictive maintenance. TI’s AM13Ex MCUs deliver a high-performance Arm Cortex-M33 core, TinyEngine NPU, and advanced real-time control all on a single chip.
This cuts BOM costs by up to 30% (no external parts needed) and handles four motor control loops while the NPU optimizes load sensing and energy use. Bonus is a trig math accelerator that’s 10x faster than CORDIC for precise control.
Train, Optimize, Deploy – Made Simple
Both families work seamlessly with CCStudio Edge AI Studio (free tool) for model training, optimization, and deployment. Pick from 60+ models and examples to get edge AI running fast, with hardware or software options and more coming.
Package, availability and pricing
- Production quantities of the MSPM0G5187 MCU are available for purchase now on TI.com, with the AM13E23019 MCU available in preproduction quantities. Additional package and memory variants will be released by the end of 2026.
- Multiple payment and shipping options are available.
Leadership Comments
“TI invented the digital signal processor almost 50 years ago, laying the groundwork for today’s edge AI processing,” said Amichai Ron, senior vice president, Embedded Processing and DLP® Products at TI. “Now TI is leading the next phase of innovation by integrating the TinyEngine NPU across our entire microcontroller portfolio, including general-purpose and high-performance, real-time MCUs. By enabling AI across our software, tools, devices and ecosystem, we are making edge AI accessible and easy to use for every customer and every application.”
“While much of the world has been focused on AI acceleration and NPUs in bigger SoCs, it turns out some of the more interesting and far-reaching applications of AI can be enabled inside smaller chips like microcontrollers,” said Bob O’Donnell, President and Chief Analyst at TECHnalysis Research. “Edge-based applications of AI acceleration can make consumer devices more intelligent and industrial devices more efficient. Plus, if you can combine these chips with software development tools that themselves leverage AI to help build AI features, you bring the power of AI acceleration to a significantly wider audience of engineers and device designers.”
