The Shift to Liquid Neural Networks: Why On-Device Edge Intelligence is Finally Going Mainstream
Introduction In the last decade, the AI community has witnessed a relentless push toward larger, more powerful models—think GPT‑4, PaLM, and other massive language models that dominate cloud compute. Yet, parallel to this “big‑model” trend, a quieter revolution has been brewing at the edge of the network: on‑device intelligence. Edge devices—smartphones, wearables, drones, industrial sensors, and even tiny micro‑controllers—are now expected to understand speech, recognize objects, predict anomalies, and adapt to user behavior without sending raw data to the cloud. The benefits are clear: ...