Demonstrating significant energy savings using neuromorphic hardware

https://techxplore.com/news/2022-05-significant-energy-neuromorphic-hardware.html

"Up to sixteen times more energy-efficient than non-neuromorphic hardware... four to sixteen times more energy-efficient than AI models on conventional hardware... further efficiency gains... migrated to the next generation Loihi hardware, improves performance chip-to-chip communication... neuromorphic technology can improve the energy efficiency of today's deep learning workloads by re-thinking their implementation from the perspective of biology"