Summary
From smart devices to data centers, future artificial intelligence (AI) will need stronger capabilities for reasoning, logical thinking, and multi-step problem solving in dynamic real-world environments. Neuro-symbolic AI, which combines the strengths of neural networks and symbolic reasoning, is a promising direction for giving AI systems these capabilities. Yet such workloads remain difficult to run efficiently on today’s computing platforms because they place stringent demands on hardware performance, energy efficiency, programmability, and scalability. This project addresses that gap by de
