Het nieuws over de in het artikel genoemde ontwikkeling is al enkele weken oud, maar deze ontwikkeling zou mogelijk verstrekkende gevolgen kunnen (gaan) hebben in het kader van dit topic :
Superconducting synapse may be missing piece for 'artificial brains'
Daaruit :
Even better than the real thing, the NIST synapse can fire much faster than the human brain -- 1 billion times per second, compared to a brain cell's 50 times per second -- using just a whiff of energy, about one ten-thousandth as much as a human synapse.
"The NIST synapse has lower energy needs than the human synapse, and we don't know of any other artificial synapse that uses less energy," NIST physicist Mike Schneider said.
The NIST synapse's combination of small size, superfast spiking signals, low energy needs and 3-D stacking capability could provide the means for a far more complex neuromorphic system than has been demonstrated with other technologies
Een andere interessante ontwikkeling in het kader van dit topic wordt vermeld in een artikel van recentere datum :
Quantum algorithm could help AI think faster
Daaruit :
One of the ways that computers think is by analysing relationships within large sets of data. An international team has shown that quantum computers can do one such analysis faster than classical computers for a wider array of data types than was previously expected.
As a rough guide, for a 10,000 square matrix, the classical algorithm would take on the order of a trillion computational steps, the first quantum algorithm tens of thousands of steps and the new quantum algorithm just hundreds of steps.
To show a real quantum advantage over the classical algorithms will need bigger quantum computers. Zhao estimates that "We're maybe looking at three to five years in the future when we can actually use the hardware built by the experimentalists to do meaningful quantum computation with application in artificial intelligence."
