neuromorphic computers

Showing a neuromorphic advantage, both the IBM TrueNorth and Intel Loihi neuromorphic chips observed by Sandia National Laboratories researchers were significantly more energy efficient than conventional computing hardware. The graph shows Loihi can perform about 10 times more calculations per unit of energy than a conventional processor. Energy is the limiting factor — more chips can be inserted to run things in parallel, thus faster, but the same electric bill occurs whether it is one computer doing everything or 10,000 computers doing the work. Image courtesy of Sandia National Laboratories.
Neuromorphic computing can solve more complex problems than those posed by artificial intelligence with less energy use
The first neurotransistor: Silicon wafer + polymer = chip capable of learning
Superconducting switch that learns like a biological system for artificial brains