2025 5th International Conference on Algorithms, High Performance Computing and Artificial Intelligence (AHPCAI 2025). The 2025 5th International Conference on Algorithms, High Performance Computing, and Artifi
IJSCAI 2013 : International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)aircccfpoveisiKouroshNaderipigcatsrinivasavijayaa
Brain-inspired computing hardware aims to emulate the structure and working principles of the brain and could be used to address current limitations in artificial intelligence technologies. However, brain-inspired silicon chips are still limited in their
Brain-inspired computing hardware aims to emulate the structure and working principles of the brain and could be used to address current limitations in artificial intelligence technologies. However, brain-inspired silicon chips are still limited in their ability to fully mimic brain function as most ex...
New developing area of NeuroAI at the intersection of neuroscience and artificial intelligence has many open challenges, one of which is training the new generation of experts. In this Comment, the authors provide resources and outline training needs and recommendations for junior researchers working ...
Wu, J. Zhao, An Overview of the Action Space for Deep Reinforcement Learning, in: Proceedings of the 4th International Conference on Algorithms, Computing and Artificial Intelligence, 2021, pp. 1–10. Google Scholar [49] Sutton R.S., McAllester D., Singh S., Mansour Y. Policy gradient ...
Unlocking the Potential of Zebrafish Research with Artificial Intelligence: Advancements in Tracking, Processing, and Visualization Yi-Ling Fan, Fang-Rong Hsu, Yuhling Wang & Lun-De Liao Review Article | Published: 09 August 2023 | Pages: 2797 - 2814 ...
Deep learning (DL) (also known as hierarchical learning or deep structured learning) is one of the great inventions for modern-era of Artificial Intelligence (AI) [11]. Until the decade ’90s, classical machine learning techniques were largely used for making inferences on data and prediction. ...
Information Technology Department, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt Ahmed A. Mawgoud, Mohamed Hamed N. Taha & Amira Kotb Mechatronics Department, Faculty of Engineering, German University in Cairo, Cairo, Egypt Amr Abu-Talleb Contributions All authors con...
Data-intensive computing operations, such as training neural networks, are essential for applications in artificial intelligence but are energy intensive. One solution is to develop specialized hardware onto which neural networks can be directly mapped, and arrays of memristive devices can, for example,...