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Algorithm Lab.

With the recent development of AI, a large amount of research is being actively conducted, and by combining various types of research, ICAITD will explore the manifestation of new electronic intelligence. Deep learning has greatly improved the performance of image recognition, but the basic structure of CNN and pooling has not yet changed. Image generation as a generative AI has achieved remarkable effects using an adversarial learning structure. In natural language processing, epoch-making effects have been achieved through sentence generation. As technology advances, harmful effects such as fake images and fake texts are emerging, and it is necessary to consider engineering countermeasures against these problems. It is important to consider the details of these ideas and technologies regarding AI and proceed with a structural analysis of the current chaotic state of AI.

Phone: [+81-90-3606-8145];     Email: ai.tokyo.seminar@gmail.com

Data Mining, Deep Learning, Transfer Learning, Image Generation, GAN, Natural Language Genaration, Translation Federated learning, Explain of AI behaviour, Library, Operating System, Hardware, GPU, AI for Games, Ethical Consideration, Negative proposal AI for the social sciences, experimental, and applied research. annotation guidelines.