New MCUs with the TinyEngine™ NPU join TI’s comprehensive portfolio of AI-enabled hardware, software and tools, allowing engineers to deploy intelligence anywhere

News highlights:

• TI’s integrated TinyEngine NPUcan run AI models with up to90 times lower latency andmore than 120 times lower energy utilizationper inference than similar MCUs without an accelerator.
• New general-purpose and real-time MCUsfrom TI include the TinyEngine NPU to enable more efficient edge AIin any application, from simpleto complex systems.
• With integrated generative AI in TI’s CCStudio™ IDE and more than 60 models and application examples in CCStudio Edge AI Studio, developers can quickly and easily add edge AI to any device.

Texas Instruments (TI) (Nasdaq: TXN) today introducedtwo newmicrocontroller (MCU)families with edge artificial intelligence (AI) capabilities,supporting the company’s commitment to enablingedge AIacross its entire embedded processing portfolio. The MSPM0G5187and AM13ExMCUsintegrate TI’s TinyEngine neural processing unit (NPU), a dedicated hardware accelerator for MCUs that optimizes deep learning inference operations to reduce latency and improve energy efficiency when processing at the edge.

TI’s embedded processing portfolio is supported by a comprehensive development ecosystem,including theCCStudio integrated development environment (IDE).Its generative AI featuresallow engineers to use simple language to accelerate code development, system configuration and debuggingthrough industry-standard agents and modelspaired with TI data.Altogether, TI isaccelerating the adoption of edge AIin anyelectronic device, from real-time monitoring in wearable health monitors and home circuit breakers to physical AI in humanoid robots. These end-to-end innovations are featured in TI’s booth at embedded world 2026, March 10-12, in Nuremberg, Germany.

“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 Processingand DLP® Products at TI. “Now TI isleading the next phaseof innovation byintegratingtheTinyEngine NPU across our entire microcontroller portfolio,including general-purpose andhigh-performance, real-timeMCUs.By enablingAIacross our software, tools, devices and ecosystem,we aremaking edge AI accessible and easy to useforevery 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.”

Advanced intelligence at your fingertips

Consumers are always looking for everydaytechnology to be more intelligent, from fitness wearables to home appliances and electrical systems. However, many engineers believe that AI capabilities are exclusive to higher-end applicationsgiven high costs, power demands and coding requirements. TI’snew MSPM0G5187Arm® Cortex®-M0+ MSPM0MCUrepresents a fundamental shiftfor embedded designers, whocan nowbringedge AItoa wide range of simpler, smaller and more cost-effectiveapplications.

With local computation, theTinyEngineNPU executescomputations required by neural networksin parallel to the primary CPUrunningapplication code. Compared to similar MCUs without an accelerator,this hardware acceleration:

• Minimizes the flash memory footprint.
• Lowers latency by up to 90times per AI inference.
• Reduces energy utilization by more than120times per AI inference.

Such levels of efficiency allow resource-constrained devices– including portable, battery-powered products – toprocess AI workloads. At under US$1in 1,000-unit quantities, the MSPM0G5187 MCUreduces system and operating costs by offering an affordable alternative to other MCU or processor architectures.

To learn more,read the technical article, “How edge AI-accelerated Arm Cortex-M0+ MCUs bring more brain power to electronics.”

Real-time control plus AI acceleration for multimotor systems

Motorcontrolapplicationsin appliances, robotics and industrial systems increasingly call for intelligent features such as adaptive control and predictive maintenance, but implementing these capabilities hashistorically required complex, multi-chip designs.Building on over two decades ofmotor control leadership throughthe C2000™ real-time MCU portfolio, TI’s new AM13ExMCUs are the industry’s first to integrate a high-performance Arm Cortex-M33 core, TinyEngine NPU and advanced real-time control architectureinto a single chip.

This degree of integration enables designers to implement sophisticated motor control and AI features simultaneously without external components, lowering bill-of-materials costs by up to 30%. Key enhancements include:

• The ability to maintain precise real-time control loops for up to four motorswhile the TinyEngineNPUruns adaptive control algorithms for load sensing and energy optimization.
• An integrated trigonometric math accelerator that performs calculations 10 times faster than coordinate rotation digital computer (CORDIC) implementations, deliveringmore precise, responsive motor-control performance.

To learn more,read the application brief, “Achieving edge AI-enabled motor control in industrial automation and home appliance designs.”

Easily train, optimize and deploy AI models

Both MCU families are supported by TI’s CCStudio Edge AI Studio,afree development environment thatsimplifies model selection, training and deployment across TI’sembedded processing portfolio. This edge AI toolchain gives engineers full flexibility to run AI models on TI MCUs through either hardware or software implementations. Today, there aremore than60models and application examples available in the tool to help developers start deployingedge AI in any device, with additional tasks and models planned in the future.

TI at embedded world 2026

At embedded world 2026, in Hall 3A, Booth No. 131, TI will demonstrate how its technologies help engineers develop faster with AI;enhance performance with edge AI; and deploy AI at the edge across factories, buildings and vehicles.Also featured is TI’s partner ecosystem, which provides the complete foundation to bring innovative embedded solutions to market faster. See ti.com/ew for more information.

Package, availability and pricing

• Production quantities of theMSPM0G5187MCU are available for purchase now on TI.com, with theAM13E23019 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.