Binary Neural Networks

Mathematical Foundations of Neural Networks (ANN) in NPU Neural Processing Units

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Mathematical Foundations of Neural Networks (ANN) in NPU Neural Processing Units

1. Prerequisite Knowledge: 1) Python, check online resources (https://www.runoob.com/python/python-tutorial.html or https://colab.research.google.com/). 2) Basic knowledge of mathematics (algebra, probability, calculus), this article introduces basic concepts. For in-depth analysis, continue searching for corresponding online resources. For matters related to AI chips, it is essential to understand the mathematical concepts of the above three subjects. 2. Related Basic … Read more

Nordic Acquires Edge AI Startup: A Collaborative Attempt in Embedded AI

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Nordic Acquires Edge AI Startup: A Collaborative Attempt in Embedded AI

Produced by Zhineng Zhixin Nordic Semiconductor has announced the acquisition of the core technology and intellectual property of edge AI startup Neuton.AI. This move aims to integrate its product line in low-power wireless communication with Neuton.AI’s lightweight neural network framework, providing local intelligent computing capabilities for resource-constrained devices. From an industry perspective, this acquisition reflects … Read more

Exploring Python Programming for AI Chips

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Exploring Python Programming for AI Chips

Exploring Python Programming for AI Chips In today’s technological era, artificial intelligence (AI) has become a hot topic. With the advancement of hardware technology, chips specifically designed for AI tasks are gradually coming into our view. These chips typically feature high performance and low power consumption, making them well-suited for applications such as deep learning … Read more

Multi-Grade Deep Learning | Ji Bo Lecture Series Issue 77

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Multi-Grade Deep Learning | Ji Bo Lecture Series Issue 77

✦ Lecture Information ✦ Lecture Content Summary The remarkable success of deep learning is widely recognized, yet its training process remains a black box. Standard deep learning relies on a single-grade approach, where a deep neural network (DNN) is trained end-to-end by solving a large, nonconvex optimization problem. As the depth of the network increases, … Read more

High-Fidelity Audio Compression with Improved RVQGAN

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High-Fidelity Audio Compression with Improved RVQGAN

Abstract Language models have been successfully used to model natural signals such as images, speech, and music. A key component of these models is high-quality neural compression models that can compress high-dimensional natural signals into lower-dimensional discrete tokens. To this end, we propose a high-fidelity universal neural audio compression algorithm that can compress 44.1 KHz … Read more

Design and Implementation of an Autonomous Racing Robot Based on Arduino, Raspberry Pi, and Pi Camera: Including Labeling Steps and Technical Details

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Design and Implementation of an Autonomous Racing Robot Based on Arduino, Raspberry Pi, and Pi Camera: Including Labeling Steps and Technical Details

In an exciting racing competition held in Toulouse, Antonin Raffin and his friends successfully designed and programmed an autonomous racing robot. This robot is powered by Raspberry Pi, Arduino Uno, and Pi camera, utilizing Python, C++, and neural network technology to achieve real-time image processing with an astonishing operating speed of 60 frames per second. … Read more

Fundamentals of Artificial Intelligence in C Language: Neural Networks and Machine Learning

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Fundamentals of Artificial Intelligence in C Language: Neural Networks and Machine Learning

In today’s technological era, Artificial Intelligence (AI) has become a hot topic. While many modern machine learning frameworks are written in high-level languages like Python, we can still implement some basic AI algorithms using C, especially neural networks. This article will introduce how to build a simple neural network in C and provide example code … Read more

Multi-Task Learning: What You May Not Know

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Multi-Task Learning: What You May Not Know

Author | Sanhe Factory Girl Source | See “Read the Original” at the end Concept When optimizing more than one objective function in a single task, it is referred to as multi-task learning. Some Exceptions “Multi-task of a single objective function”: In many tasks, the losses are combined and backpropagated, effectively optimizing a single objective … Read more

Embedded AI Biweekly Newsletter – Issue 14

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Embedded AI Biweekly Newsletter - Issue 14

Click at the end of the article to read the original text and jump to our biweekly newsletter homepage, where you can read the version with item hyperlinks. Industry News AAAI 2018 | Alibaba Proposes Extremely Low-Bit Neural Networks for Deep Model Compression and Acceleration | Machine Heart Review: The internationally renowned artificial intelligence academic … Read more

Who Will Become the Brain of Future Cars: GPU, FPGA, or ASIC?

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Who Will Become the Brain of Future Cars: GPU, FPGA, or ASIC?

Autonomous driving systems are extremely complex, integrating numerous cutting-edge technologies, including perception and decision-making capabilities. Only carefully designed hardware can support these resource-intensive tasks. Moreover, autonomous driving is one of the first embedded applications that heavily rely on machine learning algorithms. Given this, a significant amount of research resources has been invested in the development … Read more