Recently, ChatGPT, along with DALL-E-2 and Codex ,has been gaining significant attention from society. As a result, many individuals have become interested in related resources and are seeking to uncover the background and secrets behind its impressive pe... read more of A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach, language modeling has... read more of A Survey of Large Language Models

Learning to quantify refers to the process of utilizing supervised learning methods to estimate or measure certain attributes or quantities within data. It involves developing models and algorithms that can accurately predict or assign numerical values to... read more of Learning to Quantify

Search-Based Procedural Content Generation (SBPCG) refers to a computational approach that leverages search algorithms to create and optimize content in video games or other interactive systems. SBPCG involves generating content, such as levels, maps, puz... read more of Search-Based Procedural Content Generation: A Taxonomy and Survey

Computational representation of everyday emotional states is a challenging task and, arguably, one of the most fundamental for affective computing. Standard practice in emotion annotation is to ask people to assign a value of intensity or a class value to... read more of The Ordinal Nature of Affect: An Emerging Approach

Procedural content generation (PCG) is an increasingly important area of technology within modern human-computer interaction (HCI) design. Personalization of user experience via affective and cognitive modeling, coupled with real-time adjustment of the co... read more of Experience Driven Content Generation

Artificial Intelligence (AI) has revolutionized the field of games, transforming the way we play, design, and experience them. AI in games encompasses a wide range of applications, from character behaviors and decision-making to procedural content generat... read more of Game AI Textbook

Machine listening for music and sound analysis is an interdisciplinary field that combines elements of computer science, signal processing, and music theory to develop algorithms and techniques for understanding and extracting meaningful information from ... read more of Machine Listening for Music and Sound Analysis

Stereotypes in language refer to the biases and generalizations embedded in linguistic expressions, which can perpetuate societal prejudices based on factors like gender, race, ethnicity, or social status. Computational language models, such as OpenAI's G... read more of Stereotypes in Language & Computational Language Models

The AI community has been focusing on developing fixes for harmful bias and discrimination, through so-called ‘debiasing algorithms’ that either try to fix data for known or expected biases, or constrain the outcomes of a given predictive model to produce... read more of Understanding and mitigating bias in AI automated systems