Deep Learning

Huawei and USTC Release Generative Recommendation Large Model, Successfully Deployed on Ascend NPU

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Huawei and USTC Release Generative Recommendation Large Model, Successfully Deployed on Ascend NPU

National Key Laboratory of Cognitive Intelligence & Huawei Noah’s Ark SubmissionQuantum Bit | WeChat Official Account QbitAI The generative recommendation large model has been successfully deployed on domestically produced Ascend NPU for the first time! In the era of information explosion, recommendation systems have become an indispensable part of life. Meta was the first to … Read more

A Discussion on Embedded AI Technology | The Role of Feature Space on the Edge

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A Discussion on Embedded AI Technology | The Role of Feature Space on the Edge

Author: Andrew Su Yong As an AI technology expert at a globally renowned semiconductor company, I often receive inquiries from clients about machine learning algorithms when introducing Renesas’s AI hardware and AI tools, such as convolutional neural networks, K-means algorithms, or other algorithms. However, the reality is that during the process of building AI solutions, … Read more

Is Python Overrated?

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Is Python Overrated?

To be honest, I believe Python is not overrated, based on the following judgments: I think Python’s advantages are still very obvious, and there are packages available in various industries. If you are studying deep learning, you will import torch as tf, but you also need to learn Python; if you are doing web scraping, … Read more

How to Use BERT for Chinese Sentiment Analysis in Python

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How to Use BERT for Chinese Sentiment Analysis in Python

In today’s digital age, sentiment analysis is a powerful text analysis tool widely used in market research, public opinion monitoring, customer service, and many other fields. The emergence of the BERT (Bidirectional Encoder Representations from Transformers) model has brought significant breakthroughs to sentiment analysis. Today, let’s delve into how to use BERT for Chinese sentiment … Read more

Practical Guide to Achieving 10x Inference Speed with YOLOv5: Model Deployment Using TensorRT on Jetson NX

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Practical Guide to Achieving 10x Inference Speed with YOLOv5: Model Deployment Using TensorRT on Jetson NX

Follow our public account to discover the beauty of CV technology This article is adapted from the Frontier of Aerial Robotics, authored by Liang Jiachen, an engineer at Westlake University. With the continuous improvement of computing power and the growth of data, deep learning algorithms have made significant advancements. These algorithms are increasingly applied across … Read more

License Plate Recognition Based on MATLAB GUI Convolutional Neural Network (CNN) with Source Code

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License Plate Recognition Based on MATLAB GUI Convolutional Neural Network (CNN) with Source Code

✅ Author Introduction: A MATLAB simulation developer passionate about research, improving both mindset and technology. For MATLAB project collaboration, feel free to contact me. 🏆 How to Obtain Code: QQ:912100926 ⛳️ Motto: A journey of a hundred miles begins with a single step. ## ⛄ 1. Introduction to CNN License Plate Recognition 1 License Plate … Read more

Essential Tips for LoRA Fine-Tuning

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Essential Tips for LoRA Fine-Tuning

As mentioned in previous articles, LoRA fine-tuning primarily targets the weight matrices of linear layers, such as the Q, K, and V projection matrices in the attention mechanism, as well as the weight matrices in the feedforward network (FFN). So, when fine-tuning a model with a Transformer architecture using LoRA, which weight matrices should we … Read more

Academician Gao Wen, Chairman of GCC SAC: Building a National Highway for AI Computing Power to Make It as Convenient as Electricity

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Academician Gao Wen, Chairman of GCC SAC: Building a National Highway for AI Computing Power to Make It as Convenient as Electricity

Gao Wen, a representative of the National People’s Congress, an academician of the Chinese Academy of Engineering, and the director of the Pengcheng National Laboratory, mentioned in an interview that the construction of the computing power network includes three core elements: large-scale core computing power, super optical networks, and computing power scheduling systems. The ideal … Read more

Development of Artificial Intelligence and Intelligent Computing

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Development of Artificial Intelligence and Intelligent Computing

“IT有得聊” is a professional information and service platform under the Machinery Industry Press, dedicated to helping readers master more professional and practical knowledge and skills in the broad field of IT, quickly enhancing workplace competitiveness. Click the blue WeChat name to quickly follow us! On the morning of April 26, after the closing of the … Read more

HBM: Spatial-Temporal Graph Convolutional Networks for Alzheimer’s Diagnosis Using Brain Functional Connectivity

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HBM: Spatial-Temporal Graph Convolutional Networks for Alzheimer's Diagnosis Using Brain Functional Connectivity

Written by︱Dan Xiaocai, Cao Jun, Zhao Yifan Editor︱Wang Sizhen Edited by︱Yang Binwei Alzheimer’s disease (Alzheimer’s disease, AD) is the most common form of dementia, leading to memory loss and cognitive impairment. According to the World Health Organization, over 55 million people are currently diagnosed with some form of dementia[1, 2]. The increasing global aging population … Read more