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The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence [PDF]

Proceedings of the National Academy of Sciences of the United States of America, 2020
Deep learning networks have been trained to recognize speech, caption photographs, and translate text between languages at high levels of performance. Although applications of deep learning networks to real-world problems have become ubiquitous, our understanding of why they are so effective is lacking.
Terrence J. Sejnowski
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Artificial Intelligence and Deep Learning for Brachytherapy

Seminars in Radiation Oncology, 2022
In recent years, Artificial intelligence (AI), specifically deep-learning (DL) based methods, have been employed extensively to solve various problems in brachytherapy. This paper presents a comprehensive literature review on recent developments and applications of AI/DL technologies for different areas in brachytherapy, including image enhancement ...
Xun, Jia, Kevin, Albuquerque
openaire   +2 more sources

A Hybrid Gomoku Deep Learning Artificial Intelligence

Proceedings of the 2018 Artificial Intelligence and Cloud Computing Conference, 2018
Gomoku 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 and Deep Learning with Tensorflow

Proceedings of the West Virginia Academy of Science, 2019
As 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, Parker Anthony, Levi Parrett, Osman Guzide   +3 more
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Artificial Intelligence and Deep Learning for Upper Gastrointestinal Neoplasia

Gastroenterology, 2022
Upper 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, machine learning and deep learning

2017 15th International Conference on ICT and Knowledge Engineering (ICT&KE), 2017
It 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.
openaire   +1 more source

Artificial intelligence and deep learning – Radiology's next frontier?

Clinical Imaging, 2018
Tracing 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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