Manuscript Topics

Algebraic topology has seen significant developments in recent years. These advancements have profound implications not only within pure mathematics but also in various applied fields such as data science, neuroscience, drug discovery, viral analysis, computer science, and machine learning. For example, topological deep learning has become an emerging paradigm in artificial intelligence (AI). We invite the submission of high-quality papers that contain original research results providing insight into algebraic topology and applications. Potential topics include, but are not limited to:  
• Homotopy theory and applications  
• Cohomology theories and applications  
• Topological properties of manifolds and applications  
• Sheaf theory and applications  
• Knot theory and applications  
• Algebraic, topological, and computational K-theory  
• Topological data analysis (TDA)  
• Topological deep learning  
• Topology-enabled AI and AI-enabled topology  
• Topological methods in biology, medicine, and neuroscience  
• Application-inspired algebraic topology  
• Interdisciplinary applications of algebraic topology

Instruction for Authors
http://www.aimspress.com/math/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/