Deep Learning

Edge AI Server EAIS Empowers AI Capabilities for Terminal Devices Across Industries

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Edge AI Server EAIS Empowers AI Capabilities for Terminal Devices Across Industries

1. EAIS Positioning EAIS (Edge AI Server) is a series of software-defined hardware edge AI computing platform products jointly developed by OPEN AI LAB and industry partners, consisting of three main components: 1) High-performance embedded hardware platform (compatible with various computing power forms from 1-16T); 2) AIoT application development framework Tengine; 3) Business-level algorithmic application … Read more

NVIDIA Jetson Empowers Suanfeng Journey to Create a New Generation of Intelligent Inspection Robots

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NVIDIA Jetson Empowers Suanfeng Journey to Create a New Generation of Intelligent Inspection Robots

Suanfeng Journey is a service robot R&D and manufacturing company with full-stack design capabilities in “AI algorithms + hardware”. To date, it has independently developed multiple systems and products, including the “AI Visual Recognition System”, the Goose Inspection Robot, and the Goose Delivery Robot, providing high-performance customized inspection robots for numerous clients in various fields … Read more

Can Chips Imitate the Brain?

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Can Chips Imitate the Brain?

Published in 1968, “Do Androids Dream of Electric Sheep?” boldly imagined that robots would possess human traits, capable of thinking, sleeping, and dreaming, prompting reflections on the relationship between cold creations and life.[1]Now, that cyberpunk world seems less distant. Chip structures have highly mimicked biological brains, beginning to possess the five senses and increasingly human-like … Read more

Differences Between DPU and GPU

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Differences Between DPU and GPU

(Source: techspot) Today, hardware and software applications for artificial intelligence have evolved into systems designed specifically to optimize AI and neural network operations. This includes Neural Processing Units (NPU), whose capabilities in accelerating AI tasks are often comparable to those of Graphics Processing Units (GPU). NPUs are increasingly common hardware designed to execute cutting-edge AI/machine … Read more

Who Is the Main Character of the AI PC: CPU, GPU, or NPU?

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Who Is the Main Character of the AI PC: CPU, GPU, or NPU?

As we all know, the “AI PC” has become one of the hottest topics in the consumer electronics industry today. For consumers who may not be well-versed in technical details but are intrigued by this concept, they believe that the “AI PC” can assist them in completing tasks they are not skilled at or alleviate … Read more

How NPU Has Developed and Factors Affecting Its Performance

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How NPU Has Developed and Factors Affecting Its Performance

(Comprehensive report by Electronic Enthusiasts Network) NPU is a hardware processor specifically designed to accelerate neural network computations. With the rapid development of artificial intelligence and deep learning technologies, traditional CPUs and GPUs struggle to handle complex neural network computations, which is why NPUs were designed. How NPU Has Developed As early as 2011, Google … Read more

How to Implement Embedded Artificial Intelligence

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How to Implement Embedded Artificial Intelligence

This article is based on the speech by Zhang Xianyi and has not been reviewed by the author. Embedded AI combines hardware, software, and algorithms to provide cost-effective, high-performance, and low-power solutions, applicable in scenarios such as facial recognition, and aims to achieve better interactivity. What is embedded artificial intelligence, or edge intelligence? It does … Read more

TinyMLPy: A Lightweight Deep Learning Model Library in Python

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TinyMLPy: A Lightweight Deep Learning Model Library in Python

TinyMLPy is a Python library focused on the development of lightweight deep learning models, offering efficient model compression and deployment capabilities. In the field of deep learning, lightweight AI has become an important development direction, from model compression and quantization optimization to deployment on micro devices. In practical applications, TinyMLPy can help us: Compress deep … Read more

Efficient Deep Learning Computation: From TinyML to LargeLM

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Efficient Deep Learning Computation: From TinyML to LargeLM

Deep learning dominates various fields and fundamentally changes human society. Efficiency is a key factor in democratizing deep learning and expanding its application scope. This has become increasingly important as Moore’s Law slows down and the pace of model size expansion accelerates. We need efficient algorithms and systems to help bridge this gap. In this … Read more