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A Hybrid Gomoku Deep Learning Artificial Intelligence
Proceedings of the 2018 Artificial Intelligence and Cloud Computing Conference, 2018Gomoku is an ancient board game. The traditional approach to solving the Gomoku is to apply tree search on a Gomoku game tree. Although the rules of Gomoku are straightforward, the game tree complexity is enormous. Unlike other board games such as chess and Shogun, the Gomoku board state is more intuitive.
Peizhi Yan, Yi Feng
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Artificial intelligence, machine learning and deep learning
2021The aim of this chapter is to introduce the reader to the concepts of artificial intelligence (AI), a branch of computer science attempting to build machines capable of intelligent behaviour, as well as its subdisciplines, machine learning (ML) and deep learning (DL).
Rosso M. P. D. +7 more
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Artificial Intelligence and Deep Learning for Upper Gastrointestinal Neoplasia
Gastroenterology, 2022Upper gastrointestinal (GI) neoplasia account for 35% of GI cancers and 1.5 million cancer-related deaths every year. Despite its efficacy in preventing cancer mortality, diagnostic upper GI endoscopy is affected by a substantial miss rate of neoplastic lesions due to failure to recognize a visible lesion or imperfect navigation.
Prateek Sharma, Cesare Hassan
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Artificial Intelligence and Deep Learning with Tensorflow
Proceedings of the West Virginia Academy of Science, 2019As the computational problems become more and more complex, researchers and developers turn to artificial intelligence and machine learning for feasible and accessible solutions. In this poster, we present our research with a look at the traditional artificial intelligence and more recent deep learning.
Weidong Liao +3 more
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Artificial intelligence, machine learning and deep learning
2017 15th International Conference on ICT and Knowledge Engineering (ICT&KE), 2017It is increasingly recognized that artificial intelligence has been touted as a new mobile. Because of the high volume of data that being generated by devices, sensors and social media users, the machine can learn to distinguish the pattern and makes a reasonably good prediction.
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Artificial intelligence and deep learning – Radiology's next frontier?
Clinical Imaging, 2018Tracing the use of computers in the radiology department from administrative functions through image acquisition, storage, and reporting, to early attempts at improved diagnosis, we begin to imagine possible new frontiers for their use in exam interpretation.
Ray Cody, Mayo, Jessica, Leung
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Artificial intelligence and deep learning for biomedical applications
Multimedia Tools and Applications, 2022openaire +1 more source
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Medical Image Analysis, 2022Bas H M van der Velden +2 more
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