According to a report by Electronic Enthusiasts (by Li Wanwan), in recent years, various edge devices equipped with AI computing chips have emerged following NVIDIA’s launch of the Jetson series. Due to their box-like appearance and algorithm inference capabilities, the industry often refers to them as edge boxes, AI Boxes, algorithm boxes, etc. With the … Read more
TinyML is a miniature or small-scale artificial intelligence technology that can run on resource-constrained microcontrollers (MCUs) with features such as low latency, low power consumption, and low cost. It can perform inference tasks in AI such as keyword detection, anomaly detection, and object recognition. MCU Manufacturers Merging with AI Companies to Layout TinyML In May … Read more
The functionality of artificial intelligence (AI) has become crucial in various mobile devices. Particularly in 2024, AI PCs are being launched, marking it as the “Edge Device AI Era.” This article reviews the main AI PCs and processors released in the second half of 2024. The semiconductor industry in 2024 is expected to be fully … Read more
1. Product Overview This product is an AI vision box based on the RK3588 platform, featuring a built-in AI accelerator NPU with up to 6 TOPS computing power, running the Android 12.0 operating system, and supporting Linux operating system. It supports multi-channel video and image intelligent analysis, has industrial-grade configuration, is dustproof, shock-resistant, and high-temperature … Read more
Allwinner T527 Chip Detailed Series (1) – Computing Performance – Efficient Architecture, Robust Performance Built-in 8*ARMCortex-A55 Octa-core frequency can run up to 1.8GHz, providing robust processing power Octa-core ARM Cortex-A55 in a DynamIQ big.LITTLE configuration, up to 1.8 GHz 32KB L1 I-cache and 32KB L1 D-cache per A55 core Optional 64KB L2 cache per “LITTLE” … Read more
MYiR Electronics, a partner of Allwinner Technology,has launched a core board and development board equipped with the AllwinnerT527 chip. The development board is based on the Allwinner T527 high-performance optional AI function MPU, featuring an eight-core A55 high-performance processor and a RISC-V co-processor,supporting 2Tops NPU, meeting the needs of edge intelligent AI acceleration applications;The T527 … Read more
1. Product Overview 1.1 Applicable Scope The product adopts a core board plus baseboard configuration, with the core board primarily integrating four main components (main control, memory, storage, and power management). The core board is easily detachable for quick secondary development by customers, mainly applied in industrial control, commercial displays, smart home, automotive electronics, medical … Read more
The smart gateway utilizes a high-performance Rockchip RK3562 ARM architecture processor as its core brain, providing powerful computing capabilities and efficient performance. Equipped with a 1.0 TOPS (trillion operations per second) Neural Processing Unit (NPU), it supports complex machine learning and artificial intelligence applications, further enhancing the intelligence level of the device. In terms of … Read more
RKNN is the model type used by the Rockchip npu platform, with model files ending in .rknn. Rockchip provides a complete model conversion Python tool, making it convenient for users to convert their self-developed algorithm models into RKNN models. Additionally, Rockchip offers C/C++ and Python API interfaces. Use RKNN-Toolkit2 on a computer to complete model … Read more
Understanding Arduino Uno Pins: From Digital I/O to PWM and Analog Input Arduino Uno is a popular open-source electronic prototyping platform that provides developers with convenient hardware interfaces to realize various creative projects. This article will delve into the pin functions of the Arduino Uno, including digital input/output (I/O), pulse-width modulation (PWM), and analog input, … Read more