Agentic AI

Advancements in Computer Vision Applications in Anesthesiology

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Advancements in Computer Vision Applications in Anesthesiology

Li Haopeng, Wang Yu, Yao Shanglong Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022 International Journal of Anesthesiology and Resuscitation, 2023, 45(03): 313-316. DOI: 10.3760/cma.j.cn321761-20230914-01001 REVIEW ARTICLES [Review] Computer Vision (CV) technology has been widely applied in various fields of medical diagnosis and treatment. In recent years, … Read more

Steam Engines Replacing Manual Labor and Generative AI Replacing Mental Labor

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Steam Engines Replacing Manual Labor and Generative AI Replacing Mental Labor

New technologies will replace manual labor, causing traditional industries to feel panic, tension, and resistance; this is history. In 1705, Newcomen invented the steam engine for pumping water from mines. In 1765, Watt made significant improvements to the steam engine based on repairing Newcomen’s machine, modernizing it and greatly enhancing its efficiency. In 1776, a … Read more

Summary of UFS 4.0 Main Control Chips Driving AI Device Storage Engines

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Summary of UFS 4.0 Main Control Chips Driving AI Device Storage Engines

Introduction The rapid development of artificial intelligence technology has made generative AI the core direction of current development. Introducing generative AI into smart devices, especially portable smart terminals, is seen as an inevitable trend in future technological development. Smartphones, as one of the most important terminals, are becoming the pioneering platform for generative AI applications. … Read more

Tesla Executive Reveals Autonomous Driving Technology: 48 Neural Networks in Action, Detecting Up to 1000 Objects

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Tesla Executive Reveals Autonomous Driving Technology: 48 Neural Networks in Action, Detecting Up to 1000 Objects

How Does Tesla Achieve City Autonomous Driving with Cameras? Written by | James Recently, Tesla updated its autonomous driving software to version 2020.12, which includes the automatic recognition of traffic lights and stop signs. If Tesla is equipped with the FSD full self-driving capability package, it can experience the autonomous driving feature of stopping at … Read more

An Overview of Graph Convolutional Networks

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An Overview of Graph Convolutional Networks

Technical Column Author: Liu Zhongyu Edited by Luobotu Today, I want to share with you about Graph Convolutional Networks. With the development of artificial intelligence, many people have heard of concepts like machine learning, deep learning, and convolutional neural networks. However, Graph Convolutional Networks are not often mentioned. So, what are Graph Convolutional Networks? Simply … Read more

A Survey of Graph Neural Networks (GNN)

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A Survey of Graph Neural Networks (GNN)

Graph neural networks (GNNs) have gained widespread attention and are applied in scenarios such as recommendation systems, knowledge graphs, and traffic analysis due to their advantages in handling non-Euclidean space data and complex features. The irregularity of large-scale graph structures, the complexity of node features, and the dependency of training samples put immense pressure on … Read more

Essential Resources for Graph Neural Networks

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Essential Resources for Graph Neural Networks

Resource Sharing Edited by: Rabbit Unknowingly, 2019 is about to pass Time flies, and you have accompanied us for another year This year We have compiled 33 papers and 165 news updates Prepared 46 paper interpretations Shared 38 pieces of technical content Held 6 sessions of AI Talking And organized 1 offline salon called “Graph … Read more

Deep Painterly Harmonization: Merging Art with AI

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Deep Painterly Harmonization: Merging Art with AI

Li Zi from A Fei Si Quantum Bit | WeChat Official Account QbitAI ”Master, can you help me Photoshop my face onto the model in the street photo? Oh right, not just that, it has to look like the model…” Extracting an element from one photo and seamlessly blending it into another seems like a … Read more

Methods for Neural Network Compression and Acceleration

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Methods for Neural Network Compression and Acceleration

Abstract: This issue discusses the technological innovations in neural network compression and acceleration at different levels, mainly involving three aspects: (1) neural network compression and its hardware-software co-design methods; (2) neural network compression software frameworks and compilation optimization techniques; (3) automation of neural network compression and support for new architectures. It aims to help readers … Read more

Attention Mechanism Bug: Softmax as the Culprit Affecting All Transformers

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Attention Mechanism Bug: Softmax as the Culprit Affecting All Transformers

“I found a bug in the attention formula, and no one has noticed it for eight years. All Transformer models, including GPT and LLaMA, are affected.” Recently, a statistical engineer named Evan Miller has stirred up a storm in the AI field with his statement. We know that the attention formula in machine learning is … Read more