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Artificial intelligence (AI) is a broad term used to describe applications that perform complex tasks that used to require human input. It includes subfields such as machine learning and deep learning. Machine learning focuses on building systems that can learn or improve performance based on the data they use. The goal of artificial intelligence is to create a self-learning system that can solve problems like humans. Artificial intelligence could be applied to various fields, such as online communication with customers, chess, image recognition, and so on. It also streamlines business processes, improves the customer experience, and speeds up innovation. The development of artificial intelligence had gone through many stages, from general-purpose computing devices to logical reasoning expert systems, to deep learning computing systems and large model computing systems. The current level of artificial intelligence is called narrow artificial intelligence (ANI). It performs well on specific tasks, but it cannot learn new skills or understand the world in depth. Super Artificial Intelligence (ASI) was a postulated future state with intelligence surpassing human intelligence. At present, artificial intelligence surpassed humans in some tasks, but still lagged behind in other tasks. The industry played a leading role in the cutting-edge research of artificial intelligence, and the cost of training cutting-edge models was getting higher and higher. In the future, the development of artificial intelligence might bring more breakthroughs and applications.

Cold tears and hot tears had different expressions. Cold tears usually had a sour, sad, sad, and other emotional tones. They could be tears shed in sadness, pain, or disappointment. Hot tears were more related to positive emotions such as excitement, happiness, and reverence. They might be tears that flowed when they were touched, happy, or with someone they liked. Therefore, cold tears and hot tears expressed different emotions.

The following are some papers on artificial intelligence: - **wide_deep model paper **: It helps to understand the relationship between deep and shallow layers in fully connected networks. The wide model is a shallow model, which can highly fit training samples but has poor generalization ability. The deep model is a deep model, which has good generalization but poor fitting ability. The two shared the loss value of back-transmission through joint training methods to train the comprehensive advantages. Link to thesis: <strong></strong></strong> arxiv.org/pdf/1606.07792.pdf - **Adam related paper **:"Adam: A Method for Stochastic-optimization", which helps to understand the widely used principle of Adam. Paper link: <anno data-annotation-id ="33333f04 - 4c66 - 4c60 - 9999 - 9c111999999"></anno></anno> arxiv.org/pdf/1412.6980v8.pdf - ** Target Drop Out Model Thesis **: This model no longer randomly drops nodes in proportion like ordinary dropouts. Instead, it drops nodes according to the importance of the weight of the neurons. The effect is better. Link to thesis: <strong></strong></strong> openreview.net/pdf? id=HkghWScuoQ - **Xception model thesis **: Xception: Deep Learning with Depthwise Separable Consequences. Its technology has become part of the AI development knowledge system and is of great significance in the field of image classification. The thesis website is at: <anno data-annotation-id ="333333f-b7f6 - 4110 - 4220 - 925b6f5128"></anno>arxiv.org/abs/1610.02357 - ** Residue structure thesis **:"Deep ResidualLearning for Image Recognition". The residual structure had a far-reaching impact on AI technology. It could make the network reach hundreds of layers deep and was used by many models. Author's thesis: <strong></strong> arxiv.org/abs/1512.03385 - ** Hole Consecutive Thesis **:"Multi-scale context aggravation by diluted convolutions". You can view the exponential relationship between the perceptual field and the number of layers of the hollow convolutions. Author's thesis: <strong></strong> arxiv.org/abs/1511.07122v3 - **DenseNet thesis **:"Densely Coupled Chaotic Network". The DenseNet model has a unique effect. Link to thesis: <strong></strong></strong> arxiv.org/abs/1608.06993 - **GloVe(2014) paper **:"Glove: Global Vectors for Word Representative." This is a word embedding model based on reducing the dimensions of the word co-occurrence matrix. It can be extended to large-scale text corpuses using the implicit representation method, which helps to understand the basic knowledge of word embedding and its importance. Link to thesis: <strong></strong> www.aclweb.org/anthology/D14 - **Adaboost(1997) paper **: The Adaboost algorithm proposed by Freund and Schapire is a meta-inspired learning algorithm that can apply a "weak" model to a "strong" classification, but it is easy to overfit. Link to the thesis: """"""""& "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!

" Artificial intelligence " in English was " artificial intelligence ", which could be simply referred to as " AI ". If it was referring to " artificial intelligence generated content," it would be " Artificial Intelligence Generated Content," or " AIGC " for short. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!

The following are some golden sentences about artificial intelligence: - Stephen Hawking: "Full-fledged artificial intelligence could mean the end of humanity... The machine could start on its own and automatically re-design itself. The speed would also become faster and faster. Due to the limitations of the long process of biological evolution, humans are unable to compete with them and will eventually be replaced." - Claude Shannon: "I imagine that in the future, we might be the robot's pet dogs. I will support the robot then." - Larry Page: "Artificial intelligence will be the final version of Google. It would become the ultimate search engine, able to understand all information on the Internet. It will understand exactly what you want and give you what you need. We are still far from achieving that. However, we can gradually get closer, and we are currently working hard to achieve this." - Elon Musk: "Artificial intelligence (and I'm not talking about narrow AI) is developing at an unbelievable speed. Unless you have direct contact with a project like DeepMind, you don't know how fast it's developing--it's developing at a near-exponential rate. In the next five years, it was very likely that major dangerous events would occur. The longest is within 10 years." - Nick Bilton: "The changes brought about by artificial intelligence will expand rapidly. It will become more and more terrifying and even bring catastrophic results. Imagine a medical robot that was originally designed to treat cancer coming to the conclusion that the best way to eliminate cancer is to eliminate humans who are genetically susceptible to cancer." - James Barrat: "I don't want to scare you, but I've talked to a lot of people. They all have a high status in the field of artificial intelligence, but they have prepared some emergency plans. If there is an uncontrollable accident, they can use these methods to withdraw." - Elon Musk: "I'm more and more inclined to think that there should be regulation at the national and international level to make sure that we don't do something very stupid. I mean, the research on artificial intelligence is like summoning a demon." - Klaus Schwab: "We must work together and independently to solve the ethical issues brought about by cutting-edge research in artificial intelligence and biotechnology. This will significantly extend human lifespan, enhance memory, and have a beneficial impact on newborns." - Gini Romenti: "Some people call this technology 'artificial intelligence', but the reality is that this technology will enhance our human abilities. Therefore, I believe that we will enhance human intelligence, not 'artificial' intelligence." - JAMA WHILEN: "I'm more worried about artificial intelligence than I'm interested in it--in fact, the two attitudes are almost the same. Things will become clear in your mind, you will be deceived, you will believe things that you would not normally believe. A world run by robots was no longer an unrealistic fantasy. It's a bit chilling." - Gray Scott: "I don't think artificial intelligence systems with superhuman intelligence will become violent. I don't think this will destroy human culture." - Peter Demandis: "If a government controls drones, stem cells, or artificial intelligence technology and forbids their use, it means that the research and development and production will be transferred to other countries." - Jeff Hawkins: "The key problem with artificial intelligence is its form." "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!