Microcontroller Tips

Morse Micro has announced two Wi-Fi HaLow USB dongle reference designs, MM8108-RD09 and MM8108-RD17, built on the MM8108 SoC to add native IP connectivity at ranges up to 1 kilometer through a USB interface. The MM8108-RD09 supports AP and STA implementations with OpenWRT support for routers and access points plus Windows, Linux and MacOS support for client devices.

Aetina Corporation has announced the DeviceEdge AIE-VN34/44 and AIE-VO24/34 palm-sized in-vehicle edge AI systems powered by NVIDIA Jetson Orin NX and NVIDIA Jetson Orin Nano modules. The systems deliver up to 100 TOPS or 67 TOPS of AI performance, support up to four GMSL2 cameras, use a 136.3 x 132 x 63 mm fanless chassis and operate from -25°C to +55°C with 9–36V DC input, MIL-STD-810H shock and vibration testing and E-Mark (E24) certification.

Silicon Motion Technology Corporation has introduced the MonTitan™ SSD Reference Design Kit with PerformaShape™ technology for Agentic AI infrastructure, enabling enterprise SSDs to support KV cache offload, persistent memory-layer functions and autonomous AI agent workloads. The platform uses enhanced hardware architecture, Multi-Dimensional Shaping, integrated performance monitoring and NVMe TP4176 as an API to help maintain predictable QoS under dynamic multi-tenant and multi-agent workloads.

Ambiq® has released the Apollo330 Plus and Apollo510 Lite SoC series for battery-powered edge AI devices, including wearables, hearables, AR devices, digital health monitors and industrial sensors. The Arm® Cortex®-M55-based devices include up to 2 MB SRAM and 2 MB embedded NVM, AI acceleration up to 8 MACs per cycle, secureSPOT® 3.0 with Arm TrustZone® technology and package options including BGA and WLCSP.

The mathematics of humanoid robot walking revolves around balancing dynamics using the center of mass (CoM), kinematic modeling, and trajectory planning. It focuses on the linear inverted pendulum model (LIPM) and the zero-moment point (ZMP) criterion to ensure stability. It also involves model predictive control (MPC) to control joint trajectories. Plus, divergent components of motion (DCM) are used to predict future CoM behavior to stabilize the robot.

MRDIMM supports 12800 MT/s data rates August 3, 2026 By Puja Mitra Leave a Comment Innodisk has introduced the DDR5 12800 MT/s MRDIMM for AI, large language model, high-performance computing and robotics workloads.

Embedded power inductors now decide how efficiently an AI server can feed its processors. Modern AI accelerators pull upwards of 1,000 A at sub-1 V, and the magnetic component, far harder to miniaturize than the capacitor, has become the primary integration bottleneck. This technical FAQ examines why power delivery is going vertical, how embedded inductors overcome magnetic saturation, what power density they reach, and where the technology heads next.

Acromag has released the XVME-6800 6U VMEbus single board computer for embedded systems in defense, aerospace, scientific research, industrial manufacturing and transportation applications. The board uses Intel’s 11th Generation Tiger Lake-H Xeon® W processor with 32GB DDR4 ECC memory, NVMe solid-state storage, dual gigabit Ethernet on the front panel and backplane, USB, serial, video, audio, GPIO and storage interfaces.

BrainChip Holdings has announced that its AKD1500 chip, based on the Akida™ neuromorphic processor, is now available as an M.2 2230 module with a B+M key edge connector. The module provides a plug-and-play path for adding fanless, on-device AI acceleration to industrial equipment, commercial devices, tablets and other systems without redesigning the power supply or cooling architecture.

By Guy Rouleau, Consulting Advanced Support Engineer, and Jason Ghidella, Sr. Principal Technologist, MathWorks AI coding agents are becoming part of engineering workflows, including the way teams build, test, and refine models. But their value is not simply faster model creation. An agent may generate models, scripts, and tests that execute successfully, while missing the structure, discipline, and constraints required for real engineering systems.