Friday, August 5, 2016

IBM's imitative neurons learn without human intervention - Accelerating cognitive computing applications


 IBM scientists have created randomly spiking neurons using phase-change materials to store and process data. This demonstration marks a significant step forward in the development of energy-efficient, ultra-dense integrated neuromorphic technologies for applications in cognitive computing.
Inspired by the way the biological brain functions, scientists have theorized for decades that it should be possible to imitate the versatile computational capabilities of large populations of neurons.

Once they learn to program themselves then ......