Advances in Artificial Intelligence and Data Sciences
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 20 March 2026 | Viewed by 2
Special Issue Editor
Special Issue Information
Dear Colleagues,
Artificial Intelligence and Data Science are evolving rapidly, driving breakthroughs in automation, decision-making, and scientific discovery. Deep learning has significantly advanced natural language processing, computer vision, and generative AI, enabling machines to create realistic images, music, and text. Reinforcement learning is optimizing autonomous systems, while explainable AI is improving trust and transparency in critical applications like healthcare and finance.
The rise of Edge AI allows models to operate efficiently on decentralized devices, reducing latency and enhancing privacy. Federated learning further strengthens security by training AI without exposing sensitive data. AI is also augmenting human creativity, assisting in fields such as software development, art, and design through digital twins and generative tools. Looking ahead, researchers seek to develop Artificial General Intelligence (AGI), with hybrid approaches like neurosymbolic AI combining deep learning and logical reasoning. Quantum AI is expected to revolutionize complex problem-solving in areas like drug discovery and cryptography, while neuromorphic computing aims to develop low-power, brain-inspired AI systems. In healthcare, AI is transforming diagnostics, personalized medicine, and wearable health monitoring, fostering more efficient human–AI collaboration. Ethical considerations are becoming increasingly important, with regulations ensuring fairness, transparency, and accountability in AI systems.
The future of AI and Data Science lies in responsible and human-centric development, where AI augments human expertise to address societal challenges, optimize industries, and unlock new creative and scientific possibilities. As AI continues to advance, fostering collaboration between humans and intelligent systems will be key to ensuring a future where technology serves humanity’s best interests.
Prof. Dr. Mohamed Quafafou
Guest Editor
Manuscript Submission Information
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Keywords
- data science
- machine learning
- generative AI
- scientific Discovery
- explainable AI
- neurosymbolic AI
- quantum AI
- health
- human–AI
- mathematics and algorithms
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