Author: Chen Zhiyan This article is about 3000 words long and is recommended to be read in 7 minutes. The future of intelligent agents is full of infinite possibilities. Introduction In this age of information explosion, have you ever imagined having smooth conversations with machines, or letting AI help you create stunning articles? All of … Read more
Building an intelligent agent typically involves several steps, from problem definition, model selection, training, to deployment. This process applies to various types of agents, including those used in reinforcement learning, planning, and robotic control. Here are the general steps for building an agent: 1. Define the Problem and Task Before constructing an agent, it is … Read more
AI (Artificial Intelligence) and agents are two related but distinct concepts. AI refers to the technology that enables machines to perform tasks that typically require human intelligence, including abilities such as learning, reasoning, problem-solving, understanding natural language, visual recognition, and decision-making. AI is a broader field that encompasses various technologies and algorithms, such as machine … Read more
01 Educational Dilemmas and Changes in the AI Era 1. The Dilemmas and Oddities of Education No matter whether it is preschool education, primary, middle, or high school, or even university, our current education and learning face some oddities and dilemmas. Not to mention issues such as the pressure of tutoring, rote learning for exams, … Read more
History of AI: The Evolution of AI Waves It is widely believed that AI has experienced two waves and is now undergoing a third wave. Below, we will review the history of AI and understand what AI really is. （ Image Source: Internet） What Exactly is AI—General AI vs. Narrow AI No technology currently exists … Read more
Originally published by Algorithm Advancement This article studies how data collection, processing, and analysis contribute to Explainable Artificial Intelligence (XAI) from a data-centric perspective. Existing work is categorized into three types, serving to explain deep models, reveal training data insights, and provide domain knowledge insights. It distills data mining operations and DNN behavior descriptors for … Read more
Generative AI is a type of artificial intelligence technology that utilizes machine learning models and deep learning techniques to generate new content by studying patterns in historical data. This content can be text, images, audio, or video. Unlike traditional systems that generate output based on given rules or data, generative AI autonomously creates entirely new … Read more
The development of artificial intelligence has gone through three stages: ANI, AGI, and ASI. We are currently in a transitional phase from ANI to AGI. The ‘N’ in ANI stands for narrow, meaning limited. Therefore, ANI is often translated as narrow AI or weak AI. The ‘G’ in AGI stands for general, which translates to … Read more
Artificial Intelligence AI is a technology that simulates human intelligence, aiming to enable machines to perform tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, understanding natural language, and perceiving the environment. In recent years, AI technology has developed rapidly and has had a profound impact in various fields. (Image captured from … Read more
AI digital humans are virtual characters that use artificial intelligence technology to simulate the appearance, voice, movements, and expressions of real people. AI digital humans can interact with humans in various scenarios, providing services or entertainment. The technological development and application prospects of AI digital humans have attracted increasing attention and discussion. The following sections … Read more