With the rapid development and deployment of powerful Generative AI models, the environmental issues they bring are increasingly attracting attention, including a sharp rise in electricity demand and high water consumption. The Resource Intensity and Environmental Cost of Generative AI Generative AI has attracted widespread attention due to its potential immense advantages, from enhancing work … Read more
The concept that most people are familiar with is Generative AI, such as large language models (LLMs) like ChatGPT, Doubao, and Kimi, which can answer questions, generate text, and assist in completing other tasks. However, this operation is passive, meaning that Generative AI can only respond to received inputs based on learned patterns. LLMs cannot … Read more
Author Introduction Liang Yucheng, Professor and PhD Supervisor at the School of Sociology and Anthropology, Sun Yat-sen University, Distinguished Professor of the Changjiang Scholars Program. Ma Yukun (Corresponding Author), PhD student at the School of Sociology and Anthropology, Sun Yat-sen University, Email: [email protected] 1. Differentiation of Social Concepts in the Digital Age: “Multicentralization” The emergence … Read more
Left Hand Workplace, Right Hand AI With Stories, Methods, and Tools January 20, 2025 Article 19 of 2025, Original Article 785 Full text 2682 words, reading time about 8 minutes Since OpenAI launched ChatGPT on November 30, 2022—a technology known as Generative AI (AIGC, Artificial Intelligence Generated Content), the application of AIGC has started to … Read more
Background of Deep Learning: In March of this year, Google’s AlphaGo emerged and defeated South Korean player Lee Sedol, causing a frenzy in the fields of deep learning and machine learning, not only in academia but also among the general public. Artificial intelligence has had its ups and downs, but currently, the hottest topic is … Read more
Meng Lei School of Electrical Engineering, Shaanxi University of Technology /Abstract:/ To timely grasp the changes in power load, accurate forecasting is essential. Therefore, a combined model of CNN and LSTM is explored to predict short-term fluctuations in power load from one day to one week. The CNN model is responsible for feature extraction from … Read more
In the previous article: Implementing the Classic CNN VGGNet (Theoretical Part) We detailed the network structure of VGGNet. Today, we will use PyTorch to reproduce the VGGNet network and apply the VGGNet model to solve a classic Kaggle image recognition competition problem. Let’s get started! 1. Dataset Preparation In the paper, the authors of AlexNet … Read more
This article mainly summarizes the notes from the CS231n course, adding knowledge from the Deep Learning Book and practical TensorFlow, as well as the Caffe framework. 1. Convolutional Neural Networks 1.1 Convolutional Neural Networks vs. Conventional Neural Networks 1.1.1 Similarities Convolutional networks are a type of neural network specifically designed to process data with a … Read more
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Hello everyone, I am Red Stone! The first typical CNN is the LeNet5 network, while the first CNN to shine brightly was AlexNet. In 2012, AlexNet emerged in the globally renowned image recognition competition ILSVRC, directly reducing the error rate by nearly 10 percentage points, which was something all previous machine learning models could not … Read more