Why do powerful AI systems slow down at the worst moments?
This episode dives into recent research on parallel execution in mobile and edge AI, uncovering a hidden bottleneck that has nothing to do with model size or hardware limits.

By rethinking how AI workloads are scheduled, especially when systems fall back to the CPU, this research shows how smarter coordination, not bigger models, can unlock faster, more responsive, and more human-like intelligence on everyday devices.