Neuromorphic computing


It isn't new - researchers have been working on the technique since the 1980s. But the energy requirements of the AI revolution are increasing the pressure to get the nascent technology into the real world. Current systems and platforms exist primarily as research tools, but proponents say they could provide huge gains in energy efficiency, Amongst those with commercial ambitions include hardware giants like Intel and IBM. 

It is a significant development says Tony Kenyon, a professor of nanoelectronic and nanophotonic materials at University College London who works in the field. “While there still isn’t a killer app… there are lots of areas where neuromorphic computing will provide significant gains in energy efficiency and performance, and I’m sure we’ll start to see wide adoption of the technology as it matures,” he says.

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