MCU/ Driver IC-EE Awards-EE Times

Product：NuMicro^® M2354 Series – IoT Security MCU with Chip-Level Physical Security, Ultra-low Power Performance, and Complies with International Mainstream IoT Security Standards

Recommended reasons： 1. Secure Boot with DICE: Secure Boot with DICE implemented in Mask ROM establishes a hardware Root of Trust using ECC P-521, ensuring that the entire boot process is cryptographically verified and protected from unauthorized modification. 2. NuSMP 2.0 Integration: With NuSMP 2.0 integrated, the platform delivers a comprehensive security framework that is fully compliant with PSA Level 3 and SESIP Level 3 certifications, aligns with the EU Cyber Resilience Act (CRA), and enables robust protection against both physical and logical attacks throughout the system lifecycle. 3. Ultra-Low Power Consumption: Consumes only 89.3 μA/MHz in LDO mode and 39.6 μA/MHz in DC-DC mode. The Standby Power-Down mode consumes less than 2 μA while Deep Power-Down mode consumes just 0.5 μA with VBAT and can drop as low as 0.1 μA without VBAT. These optimizations significantly extend battery life and meet the demands of long-term IoT operation. 4. Compact Footprint: Offers WLCSP49 small package option, providing cost-effective Root of Trust (RoT) with compact footprint. Ideal for space-constrained applications. 5. Comprehensive crypto accelerators: Supports standard cryptographic functions including FIPS PUB 197/180/180-2/180-4 and NIST SP 800-38A, ensuring secure and efficient hardware acceleration.

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NXP Semiconductors

Product：NXP i.MXRT700 Crossover MCU

Recommended reasons： NXP i.MX RT700 features up to five computing cores designed to power smart AI-enabled edge devices such as wearables, consumer medical, smart home and HMI devices. Its Compute Subsystem includes a primary Arm^® Cortex^®-M33 running at 325 MHz and Cadence^® Tensilica^® HiFi 4 DSP for more DSP and audio processing. An ultra-low power Sense Subsystem includes a second Arm Cortex-M33 and Cadence Tensilica HiFi 1 DSP. This removes the need for an external sensor hub reducing system design complexity, footprint and BOM costs. i.MX RT700 includes NXP's eIQ^® Neutron NPU accelerating AI workloads by up to 172x and integrates up to 7.5 MB of onboard SRAM.

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Texas Instruments

Product：MSPM0C1104 small-size 24MHz Arm^® Cortex^®-M0+ MCU

Recommended reasons： The MSPM0C1104 MCU leverages the advantages of WCSP packaging technology, along with intentional feature selection and TI's cost optimization efforts. The size of the eight-ball WCSP is 1.38mm2, making it 38% smaller than competing devices. The MCU features 16KB of memory; a 12-bit analog-to-digital converter with three channels; six general-purpose input/output pins; and compatibility with standard communication interfaces such as Universal Asynchronous Receiver Transmitter (UART), Serial Peripheral Interface (SPI) and Inter-Integrated Circuit (I2C). Integrating accurate, high-speed analog components into the world's smallest MCU gives engineers the flexibility to maintain the computing performance of their embedded systems without increasing board size. The new MSPM0C1104 joins TI's MSPM0 MCU portfolio, which offers scalability, cost optimization and ease of use to accelerate time to market. TI's MSPM0 MCUs feature pin-to-pin compatible package options and feature sets to match memory, analog and computing requirements in personal electronics, industrial and automotive applications.

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WIZnet H.K. Limited

Product：W55MH32

Recommended reasons： The WIZnet W55MH32 is a high-performance Internet MCU that uniquely integrates WIZnet’s proven hardwired TCP/IP technology, delivering a stable and dependable networking experience essential for today’s connected applications. Unlike software-based stacks that consume host CPU resources, the W55MH32 features a TCP/IP offload engine (TOE) implemented directly in hardware, which handles networking protocols autonomously. This hardware-based design not only improves communication reliability but also frees up valuable MCU processing power, allowing developers to optimize application logic with fewer complications. This chip is powered by a high-speed ARM Cortex-M3 core (up to 216 MHz), along with 1 MB Flash and 96 KB SRAM, the W55MH32 provides strong computing capabilities for edge-level applications. Its extensive peripheral options—including USB, CAN, SDIO, ADC/DAC, and multiple UART/SPI/I2C interfaces—offer versatile integration for embedded designs. With support for up to 8 simultaneous hardware socket connections, the W55MH32 efficiently manages multiple communication streams in real time. It also includes 32 KB of dedicated Ethernet buffer memory and a built-in 10/100 Mbps MAC+PHY, enabling high-speed and consistent data transmission across a wide range of applications, from smart energy systems to industrial automation and security terminals. Security is a foundational element. The W55MH32 is equipped with a true random number generator and a comprehensive hardware algorithm suite, supporting standards like DES, AES, SHA, and China’s SM1–SM7. These features enable secure and tamper-resistant communication, protecting both transmitted data and the device itself from external threats. By handling cryptography in hardware, the device significantly reduces attack surfaces compared to software-based solutions.The built-in Memory Protection Unit (MPU) prevents third parties from accessing or tampering with source code, further enhancing system security. In summary, the W55MH32 combines hardware-accelerated networking, embedded encryption, and true random number generation to provide a highly reliable, secure, and efficient platform for next-generation connected systems.

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Silicon Labs

Product：PG28 32-bit MCU

Recommended reasons： PG28 32-bit microcontroller (MCU) family is a software compatible MCU-only version of the EFR32xG28 wireless SoC platform (ZG28, FG28 and SG28). PG28 32-bit MCUs are ideal for enabling a wide range of low power and high-performance embedded IoT applications. The highly efficient PG28 offers an 80 MHz ARM^® Cortex^®-M33, LCD controller, rich analog and communication peripherals, and more GPIOs to address complex systems. The PG28 is also the first EFM32 device with a hardware AI/ML accelerator allowing for faster inferencing at the edge with lower power consumption.

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Nuvoton Technology Corporation

Product：NuMicro^® M55M1

Recommended reasons： The NuMicro^® M55M1 microcontroller series uniquely integrates a high-performance Arm^® Cortex^®-M55 core with an Arm^® Ethos™-U55 Neural Processing Unit (NPU), enabling real-time AI inference and digital signal processing directly on edge devices. Equipped with DSP extensions, vector processing, an FPU, and an NN accelerator, it supports comprehensive security features, including Secure Boot, TrustZone, encryption accelerators, and tamper detection. Additionally, the M55M1 provides extensive high-speed communication interfaces and precise analog control units, ideal for audio processing, machine learning, and industrial control applications, delivering a robust, secure embedded solution.

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Renesas Electronics

Product：1-GHz RA8P1 MCU with AI Acceleration

Recommended reasons： Unprecedented 7300+ CoreMarks with Dual Arm CPU cores TSMC 22ULL Process Delivers High Performance and Low Power Consumption Embedded MRAM with Faster Write Speeds and Higher Endurance and Retention Dedicated Peripherals Optimized for Vision and Voice AI plus Real-Time Analytics New AI Software Framework Eases Development and Enables Easy Migration with MPUs Leading-Edge Security Features Ensure Data Privacy

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GigaDevice Semiconductor Inc.

Product：GigaDevice GD32G5 series high-performance MCUs

Recommended reasons： The GD32G5 series MCUs are powered by the high-performance Arm^® Cortex^®-M33 core, with a clock frequency of up to 216 MHz. These MCUs feature an advanced DSP hardware accelerator and a single-precision floating-point unit (FPU). They also integrate a hardware trigonometric function accelerator (TMU), along with various other hardware acceleration units, including filter algorithms (FAC) and Fast Fourier Transform (FFT), which significantly enhance processing efficiency. The GD32G5 series MCUs are equipped with 256KB to 512KB of embedded Flash memory, supporting the dual-bank Flash feature, and 128KB of SRAM, which includes 32KB Tightly Coupled Memory RAM (TCMRAM) for zero-wait execution of critical instructions and data. Additionally, they feature high-speed cache memory, with up to 2KB I-Cache and 512B D-Cache, further boosting core processing performance. The GD32G5 series MCUs integrate a comprehensive range of peripheral resources. They support four 12-bit ADCs with a sampling rate of up to 5.3 MSPS and up to 42 channels, as well as four 12-bit DACs, two of which offer sampling rates as high as 15 MSPS. Additionally, the series includes eight high-speed comparators (COMPs) and a suite of high-precision analog peripherals. The GD32G5 series also features a 16-channel high-precision timer (HRTimer) with accuracy reaching 145 ps, along with three advanced 8-channel timers, two 32-bit general-purpose timers, five 16-bit general-purpose timers, two 16-bit basic timers, and one low-power timer. In terms of communication interfaces, the GD32G5 series offers five U(S)ARTs, four I2Cs, three SPIs, and one QSPI supporting up to 200 MHz DDR/SDR interfaces.

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PANJIT International Inc.

Product：High-Efficiency BLDC Motor Driver IC: PM30003V-0405B

Recommended reasons： The PM30003V-0405B is the industry’s first high-performance BLDC motor driver IC with an integrated 40V / 5A SGT MOSFET. It features a newly designed TSSOP-25P package with an innovative independent thermal dissipation and leadframe island structure, achieving an ultra-low thermal resistance of just 4 K/W, only one-twentieth that of comparable packages. This enables rapid and efficient heat transfer and reduces heat generation by 50% at equivalent power levels. The IC is built around a 32-bit ARM Cortex-M0 core running at up to 48 MHz, and includes a Field-Oriented Control (FOC) accelerator, LIN bus interface for automotive communication, a high-bandwidth, high-gain operational amplifier, and a 12-bit instrumentation-grade differential-input ADC. By integrating essential motor-driving peripherals, the surrounding component count can be reduced by up to 80%. In a streamlined 35W BLDC motor application, only five passive components are required to enable high-speed current sampling and control, with a sampling rate reaching up to 35 kHz, delivering highly precise and efficient motor control. The PM30003V-0405B is widely used in brushless motor applications under 50W, such as electric water pumps, ventilation systems, drone flight controllers, household appliances, toys, and gimbal control systems. It is especially well-suited for robotic arm joint modules, offering excellent system integration and cost advantages, making it an ideal IC for compact and efficient designs. Features: • ARM^® Cortex^®-M0 core, 48 MHz • Operating voltage: 7 V to 24 V • Configure built-in pass-through prevention function • Integrated PN architecture three-phase brushless gate driver and MOSFET array • 16 KB Flash, 4 KB SRAM • 2 x UART, 1 x I2C, 1 x SPI • 2 x 16-bit general-purpose timers (HTU) • 1 x 12-bit, 1 MSPS ADC, supporting differential pair inputs • Configure the built-in 500 ns time of dead-zone • Configure the built-in LDO with 5 V/ 50 mA • P+N MOSFET, RDS(on) < 70mΩ • MCU Voltage：2.4 V to 5.5 V • 10 x GPIO, all of which can be used as external terminal inputs • 1 x 16-bit advanced PWM timer (ATU) • 2 x low-offset OPA • Operating temperature: -40°C to +105°C

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Alif Semiconductor

Product：Ensemble New Generation EdgeAI MCU with Crtex-M55 and Ethos-U85

Recommended reasons： The new E4, E6 and E8 Ensemble MCUs and fusion processors integrate the latest neural processing unit (NPU) from Arm^®, the Ethos ™ -U85, with Alif's unique high bandwidth memory and intelligent power management architecture to support NPU operators required by transformer networks to efficiently execute generative AI workloads. Transformer networks enrich endpoint use cases by focusing on the most relevant parts of older portions of an acquired input sequence while rapidly processing in parallel the current acquired sequence to enable deeper contextualization. For localized use this results in an instant, accurate, and more satisfying experience when using multimodal AI in endpoint products focused on vision, voice, text, and sensor fusion without relying on the cloud. The new family introduces a set of improvements to give even higher AI/ML performance at lower power consumption, and to provide more integrated support for embedded vision and audio applications. New features integrates a wider internal memory bus topology bringing abundant localized data bandwidth for NPU consumption, dual MIPI-CSI camera interfaces, a fast hardware image signal processor operating up to 200 frames per second, and a pair of faster interfaces to external memory each capable of 800MBytes/s. And finally, new broader options for SRAM data retention gives designers more flexibility to wake from sleep faster.

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