The following resources guide is suggested for the students of the DCNM course.<\/p>\n
1. How is AI affecting the creative media industry? [1<\/a>]<\/strong><\/span><\/p>\n This YouTube video shows how Artificial intelligence (AI) is influencing the creative sector, and artists perceive it as a danger. Prof. Laura Lie Pepe, an Associate Professor of animation at Emily\u00a0Carr University, says students are anxious that their work will be replaced and commodified\u00a0beyond their control. AI can produce art, such as animation, graphic design, and music. Pepe\u00a0stated that there is a possibility that artists would lose their jobs as a result, as well as a lack of\u00a0clarity about the distinction between a human and an AI. The Netflix anime short ‘The Dog and\u00a0The Boy’ is an example of AI-generated art, with AI creating the backdrop art.\u00a0Pepe criticized the usage of AI due to the lack of credit for human collaboration. Pepe also\u00a0mentioned the usage of AI in text-to-image creation, which relies on data collection with a 2. Transforming the future of media with artificial intelligence [2<\/a>] :<\/span><\/strong><\/p>\n This article shows that Researchers at Nanyang Technological University (NTU) have developed artificial intelligence (AI) applications, demonstrating AI’s transformational potential in a variety\u00a0of areas. Prof Erik Cambria’s SenticNet tackles the difficulty of AI perceiving human emotions\u00a0in the text by combining human learning modes with traditional machine learning, resulting in a\u00a0transparent and highly successful sentiment analysis model. Assoc Prof Sun Aixin’s idea allows\u00a0for effective keyword-based searches in videos by treating them as text passages, which\u00a0addresses the inefficiencies of existing computer vision approaches when dealing with large\u00a0amounts of video footage.<\/p>\n Furthermore, Assistant Prof Liu Ziwei’s Seq-DeepFake algorithm is an effective weapon against\u00a0the rising menace of altered photos. By recognizing digital fingerprints left by face alteration, the\u00a0program not only detects doctored photographs in seconds, but it can also retrieve the original image from the changed one. This breakthrough offers great potential for combatting\u00a0disinformation and assuring the accuracy of visual information in the digital era.<\/p>\n These breakthroughs demonstrate the broad uses of AI in sentiment analysis, video content\u00a0accessibility, and combatting false visual media, showcasing NTU’s dedication to pushing the\u00a0frontiers of AI technology for practical effect.<\/p>\n
\nsubstantial bias toward North American and Caucasian tastes for attractiveness, ethnicity, and\u00a0race. It will be recommended to watch the video to get an overview of AI in the media industry.<\/p>\n