IBM har tagit oss ett steg närmare artificiell intelligens i.o.m. projektet SYNAPSE, Systems of Neuromorphic Adaptive Plastic Scalable Electronics. De första två prototyperna är klara och testas för närvarande. Några utdrag:
In a sharp departure from traditional von Neumann computing concepts in designing and building computers, IBM’s first neurosynaptic computing chips recreate the phenomena between spiking neurons and synapses in biological systems, such as the brain, through advanced algorithms and silicon circuitry.
IBM is combining principles from nanoscience, neuroscience, and supercomputing as part of a multi-year cognitive computing initiative. IBM’s long-term goal is to build a chip system with ten billion neurons and hundred trillion synapses, while consuming merely one kilowatt of power and occupying less than two liters of volume.
While they contain no biological elements, IBM’s first cognitive computing prototype chips use digital silicon circuits inspired by neurobiology to make up a “neurosynaptic core” with integrated memory (replicated synapses), computation (replicated neurons) and communication (replicated axons).
The IBM team has successfully demonstrated simple applications like navigation, machine vision, pattern recognition, associative memory and classification.