artificial intelligence

Differences Between Artificial Intelligence, Machine Learning, and Deep Learning

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Differences Between Artificial Intelligence, Machine Learning, and Deep Learning

Source | Zhihu: Deep Blue Academy Artificial intelligence is becoming increasingly popular today, with many terms constantly surrounding us: artificial intelligence, machine learning, deep learning, etc. Many people have a vague understanding of the meanings of these high-frequency terms and their relationships. To help everyone better understand artificial intelligence, this article explains these terms in … Read more

Understanding Machine Learning in Simple Terms

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Understanding Machine Learning in Simple Terms

When it comes to artificial intelligence, the most commonly heard concept by the public is “Machine Learning” (ML). However, articles from a technical perspective can be a bit obscure, making it difficult for product managers (or novice users) to understand. Today, let’s discuss “What is Machine Learning” using the simplest language possible. 1. Three Very … Read more

Meta-Learning: The Future of Machine Learning

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Meta-Learning: The Future of Machine Learning

1 Introduction to Algorithms Meta-learning, also known as “learning how to learn,” is an exciting and highly promising research direction in the field of machine learning. Traditional machine learning algorithms typically require a large amount of data to train models, and when the data distribution changes or a new task is encountered, the model often … Read more

What Is Machine Learning?

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What Is Machine Learning?

Machine Learning Definition: The process by which computers acquire knowledge through automatic analysis and synthesis of data, facts, or their own experiences. Discipline: Computer Science Technology _ Artificial Intelligence _ Machine Learning Related Terms: Artificial Intelligence, Big Data, Pattern Recognition, Deep Learning Image Source: Visual China [Further Reading] Machine learning is a branch of artificial … Read more

Recommended Read: Machine Learning

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Recommended Read: Machine Learning

We often see many powerful artificial intelligences: In science fiction movies, it is the terminator from the future. In the real world, it is AlphaGo, which easily defeated a nine-dan Go player. We can’t help but ask, where does the immense intelligence potential of computers come from? How does it become increasingly “smart”? The answer … Read more

What Is Machine Learning?

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What Is Machine Learning?

　　Machine Learning is the study of how computers can simulate or mimic human learning behavior to acquire new knowledge or skills, reorganizing existing knowledge structures to continuously improve their performance. It is the core of artificial intelligence and the fundamental way to make computers intelligent, with applications across various fields of artificial intelligence, primarily using … Read more

Understanding the Nobel Prize (Part 1) | Discussing Machine Learning

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Understanding the Nobel Prize (Part 1) | Discussing Machine Learning

01 Two Nobel Prize Winners John J. Hopfield (left), born in 1933 in Chicago, Illinois, received his PhD from Cornell University in 1958, and is currently a professor at Princeton University. Geoffrey E. Hinton (right), born in 1947 in London, England, received his PhD from the University of Edinburgh in 1978, and is currently a … Read more

Understanding Artificial Intelligence, Machine Learning, and Deep Learning

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Understanding Artificial Intelligence, Machine Learning, and Deep Learning

When it comes to the popular terms of recent years, “Artificial Intelligence” must be on the list. Following the explosive popularity of ChatGPT last year, “AI (Artificial Intelligence)” has repeatedly topped the trending search lists and has been named the Word of the Year 2023 by Collins, a British dictionary publisher. In addition to “Artificial … Read more

Human-Machine Collaboration in Interpretation

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Human-Machine Collaboration in Interpretation

In the past century, information and communication technology has empowered interpretation to achieve continuous breakthroughs. In the 1920s, the advent of wired voice transmission technology enabled simultaneous interpretation systems where interpreters could listen and translate in real-time, revolutionizing traditional interpretation working models. In the 1960s and 70s, the emergence of computers and the internet reshaped … Read more

Machine Translation: Human Replacement May Never Happen

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Machine Translation: Human Replacement May Never Happen

This article is adapted from: Language Service Think Tank Author: Li Changshuan (Vice Dean and Professor at the School of Advanced Translation, Beijing Foreign Studies University) The development of artificial intelligence is very rapid, and the accuracy of translation is increasing, leading to concerns about whether translators will lose their jobs. Some parents even worry … Read more