Neuro-Symbolic Frameworks | Neuro-Symbolic Wednesdays | Centaur AI Institute скачать в хорошем качестве

Neuro-Symbolic Frameworks | Neuro-Symbolic Wednesdays | Centaur AI Institute

💬 Discord:   / discord   💻 GitHub: https://github.com/centaurinstitute 🤝 LinkedIn:   / centaur-ai-institute   📢 New Initiative: Neuro-Symbolic Agentic Protocol ⭐ Star us on GitHub https://github.com/centaurinstitute/n... — ​​📘 This week: Neurosymbolic (NeSy) frameworks combine neural representations and learning with symbolic representations and reasoning. Combining the reasoning capacities, explainability, and interpretability of symbolic processing with the flexibility and power of neural computing allows us to solve complex problems with more reliability while being data-efficient. However, this recently growing topic poses a challenge to developers with its learning curve, lack of user-friendly tools, libraries, and unifying frameworks. In this paper, we characterize the technical facets of existing NeSy frameworks, such as the symbolic representation language, integration with neural models, and the underlying algorithms. A majority of the NeSy research focuses on algorithms instead of providing generic frameworks for declarative problem specification to leverage problem solving. To highlight the key aspects of Neurosymbolic modeling, we showcase some of the recent existing frameworks. We identify the challenges within each facet that lay the foundation for identifying the expressivity of each framework in solving a variety of problems. I encourage the community to rethink this problem in novel and transformative ways. ​🪪 Bio. Parisa Kordjamshidi is an Associate Professor of Computer Science and Engineering at Michigan State University. Her research focuses on Spatial Language Understanding , multimodal reasoning across vision and language, and neuro-symbolic learning. She received her Ph.D. from KU Leuven and conducted postdoctoral research at the University of Illinois Urbana-Champaign. She is a recipient of the NSF CAREER, Amazon Faculty Research, and Fulbright Scholar Awards, and her research team received the NAACL-2025 Outstanding Research Paper Award and EMNLP-2025 SAC highlights. Dr. Kordjamshidi serves as Associate Editor of JAIR, Co-editor in chief of ARR (2026), Action Editor for TACL and has held roles in organization committee of major conferences including ACL, NAACL, EACL, EMNLP, ECML-PKDD, and AAAI. Currently, she is a visiting Associate Professor at UCLA and will be a visiting faculty at Bloomberg for her sabbatical. ​📝 Papers: https://arxiv.org/pdf/2509.07122 https://arxiv.org/abs/1906.07809 — ​Join us for an interactive session exploring Neuro-Symbolic AI, the emerging paradigm that blends the strengths of neural networks with symbolic reasoning. We will discuss how hybrid approaches can enhance generalization, interpretability, and reasoning, and how these methods are shaping the future of intelligent systems. Whether you’re a researcher, engineer, or simply curious about the cutting edge of AI, you’ll find an engaging space to learn, connect, and exchange ideas. Event Format: 🔍 Reading Group 🎙️ Panel Discussion 🧩 Tutorials/Workshop Series 💬 Research Roundtable 🛠️ Open-Source Project Review 📄 Paper Pitch 🤝 Collaboration Hour 🍵 Networking Mixer #AI #NeuroSymbolic #FutureOfAI