RZ/V2MA Vision AI Microprocessor Datasheet

RZ/V2MA microprocessor with DRP-AI accelerator: low-power, real-time vision AI and OpenCV preprocessing on-chip, with CPU, DDR, PCIe, USB3, GigE and high-speed I/Os.

High-Flexibility, High-Precision Bionic Robotic Hand

Technical overview of a modular, safety-focused bionic robotic hand integrating ROS, cable-driven mechanics, multi-modal sensing and AI-based control for adaptive manipulation.

What Is an AI Agent

Technical overview of AI agents: how they use machine learning and multimodal data to perform tasks, make decisions, and enable applications in healthcare and autonomy.

VLM Lets RDK X5 Follow 'Walk' and Avoid Obstacles

Hierarchical reinforcement learning framework where a vision-language model outputs intermediate instructions and low-level RL maps them to morphology-specific robot actions.

Passive Component Challenges and Solutions in AI

Overview of passive components for AI systems: material, architectural and process innovations for high-current power inductors and low-ESR polymer tantalum capacitors.

MAX78000 Low-Power CNN AI Microcontroller

MAX78000 AI microcontroller with low-power CNN accelerator, Arm Cortex?M4 with FPU, 442 KB weight SRAM and 512 KB flash, optimized for edge inference.

Embodied AI Simulation Generation System

LLM-driven system automates embodied intelligence skill generation for robotic arms, converting natural-language tasks into MuJoCo scenes, actions, and reward code.

12 Practical GPU Optimization Tips for AI Training

12 strategies to improve GPU utilization and compute efficiency in AI/ML workloads, covering mixed precision, data pipelines, profiling and distributed training.

RDK X3 Chess Robot Development Diary

Autonomous chess robot integrating board recognition, manipulator control, voice interaction, and navigation on RDK X3 with TROS-based node architecture.

Building a Sustainable AI Ecosystem with Smaller LLMs

Analysis of LLM model scale, hardware and cost trade-offs, showing how smaller models and cloud-native CPUs improve inference efficiency and sustainability.