Biswas S, Rajan H (2021) Fair preprocessing: towards understanding compositional fairness of data transformers in machine learning pipeline. In: Proceedings of the 29th ACM joint meeting on european software engineering conference and symposium on the foundations of software engineering, pp 981–993 Boi...
Our goal is to understand the characteristics and challenges of deep learning model reengineering. We conducted a mixed-methods case study of this phenomenon, focusing on the context of computer vision. Our results draw from two data sources: defects reported in open-source reeengineering projects,...
AIGC-related technologies and their applications in the Metaverse. AIGC, artificial intelligence generated content. The principle of AIGC can be simply summarized in the following steps: (1) Data collection and preprocessing: AIGC usually requires a large amount of training data to learn and ...
In recent years, the field of artificial intelligence (AI) has witnessed remarkable progress and its applications have extended to the realm of video games. The incorporation of AI in video games enhances visual experiences, optimizes gameplay and fosters more realistic and immersive environments. In...
Perception module:This processes the raw sensor data into meaningful information. It involves tasks like image recognition, speech-to-text conversion, or data preprocessing. The perception module essentially interprets the world for the AI. Cognitive architecture:It encompasses the AI’s knowledge base...
In the area of natural language processing (NLP), the size of models is growing exponentially (Figure 1). Largetransformer-based modelswith hundreds of billions of parameters can solve many NLP tasks such as text summarization, code generation, translation, or PR headline and ad generation. ...
Decoder Models|Prompt Engineering|LangChain|LlamaIndex|RAG|Fine-tuning|LangChain AI Agent|Multimodal Models|RNNs|DCGAN|ProGAN|Text-to-Image Models|DDPM|Document Question Answering|Imagen|T5 (Text-to-Text Transfer Transformer)|Seq2seq Models|WaveNet|Attention Is All You Need (Transformer Architecture)...
Text under copyright poses additional barriers to computational access, where analysis has to be separated from human consumption of the original text. Data preprocessing, in most cases, remains a daunting task for big textual data particularly data veracity is questionable due to age of original ...
deepfake videos may be created using three techniques: lip-sync, face synthesis, and attribute manipulation (Nguyen et al.2019b; Masood et al.2023). The second type of deepfake is text-based deepfake. These textual deepfakes are mostly used on social media for fake comments and reviews on ...
Given significant advances in deep learning, various deep learning techniques have been employed to fulfill software engineering tasks [10]. Although natural language processing (NLP), image and video pro- cessing, and speech processing are the major targets of current deep learning techniques, deep...