Neuromorphic Computing: The Next Big Shift in Edge AI?

🚀 When we talk about the “future of AI,” the spotlight often falls on quantum computing. But while quantum still wrestles with cost, error correction, and scale, another brain-inspired approach may be closer to reshaping how we deploy AI at the edge: neuromorphic computing.
Neuromorphic systems mimic the way neurons and synapses process information—event-driven, low-power, and highly adaptive. That makes them a natural fit for future healthcare tech, industrial control systems, aerospace navigation, logistics, and even cybersecurity operations centers where speed and efficiency matter.
In my latest article for CIO, I explore:

✅ Why neuromorphic may be a more practical disruptor than quantum (for now)
✅ How it tackles edge challenges like latency, power, and bandwidth
✅ Use cases across healthcare, logistics, defense, and cybersecurity
✅ Does this herald the coming of the Terminator?

🔗 Read the full article here: CIO Article
💡 I’d love to hear your thoughts:
Where do you think neuromorphic computing will find its killer app first—healthcare, industrial IoT, or security?
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