2021 BRN Discussion, page-116

But read this one first
  October 2019 within 4 months his thinking had changed


Deep learning is “not actually learning,” said Mike Davies, head of Intel’s neuromorphic computing unit at this year’s International Solid State Circuits Conference. His words revived the neuromorphic debate through the AI community at a time when data bandwidth constraints and computational requirements escalate.
2024 is expected to be the start of the neuromorphic revolution, according to a recently published report by Yole Développement (Lyon, France).
In an interview with EE Times Europe, Pierre Cambou, Principal Analyst for Imaging at Yole, explained that neuromorphic sensing and computing could solve most of AI’s current issues while opening new application perspectives in the next decades. “Neuromorphic engineering is the next step towards biomimicry and drives the progress towards AI.” With its research and innovation ecosystem, Europe is well-positioned to foster its scientific culture and embrace the technological opportunity.