Neuro-Symbolic AI: Integrating Symbolic Reasoning with Deep Learning IEEE Conference Publication
Neuro-symbolic AI emerges as powerful new approach Conceptually, SymbolicAI is a framework that leverages machine learning – specifically LLMs – as its foundation, and composes operations based on task-specific prompting. We adopt a divide-and-conquer approach to break down a complex problem into smaller, more manageable problems. Moreover, our design principles enable us to transition seamlessly […]
7 use cases for RPA in supply chain and logistics
7 real-life blockchain in the supply chain use cases and examples A digital twin can help a company take a deep look at key processes to understand where bottlenecks, time, energy and material waste / inefficiencies are bogging down work, and model the outcome of specific targeted improvement interventions. The identification and elimination of waste, […]
