AI holds significant promise for the IoT, but running these models on IoT semiconductors is challenging. These devices’ limited hardware makes running intelligent software locally difficult. Recent breakthroughs in neuromorphic computing (NC) could change that.
Even outside the IoT, AI faces a scalability problem. Running larger, more complex algorithms with conventional computing consumes a lot of energy. The strain on power management semiconductors aside, this energy usage leads to sustainability and cost complications. For AI to sustain its current growth, tech companies must rethink their approach to computing itself.