In the rapidly evolving landscape of artificial intelligence, a heated debate has emerged in Australia over the ethical and professional implications of using copyrighted material to train AI models, sparking significant concern among creative professionals. The Australian Association of Voice
Biomedical text mining is becoming an increasingly important field in China, driven by the need to analyze large volumes of medical data. Community challenges play a crucial role in this endeavor, fostering innovation and setting benchmarks for performance. These challenges bring together
Artificial intelligence (AI) is rapidly transforming biomedical text mining, particularly within the dynamic landscape of China. The surge in AI capabilities is driving advancements in extracting, normalizing, and analyzing biomedical information from diverse sources, enhancing both research and
In the fast-evolving field of biomedical text mining, large language models like ChatGPT offer significant promise yet face notable challenges. This article examines the performance of ChatGPT-3.5 and ChatGPT-4 in specialized biomedical tasks, providing a thorough analysis comparing their
The emotion analytics market is on a significant growth trajectory, projected to expand from USD 3.6 billion in 2023 to USD 10.1 billion by 2030. This growth is driven by advancements in artificial intelligence (AI) and machine learning, which enable the analysis of emotions through facial
In the rapidly evolving field of natural language processing (NLP), large-scale pre-trained models like GPT-3 and BERT have revolutionized tasks such as text generation and sentiment analysis. These models are particularly valuable in sensitive sectors like healthcare and finance due to their
