Deep spiking neural networks are a term used in the fields of artificial intelligence, industry and Factory 4.0 as well as automation. They refer to a new type of technology that enables machines to learn to process information like the human brain in a particularly fast and energy-efficient way.
In contrast to conventional artificial neural networks, which work with continuous signals, deep spiking neural networks use individual "impulses" (spikes), similar to nerve cells in the brain. This makes them particularly efficient and enables them to complete complex tasks with less energy and much faster.
An illustrative example: In a factory, this technology enables robots to better perceive their surroundings and react to changes at lightning speed, for example when a new product appears on the assembly line. Thanks to spiking neural networks, they immediately "understand" what is happening and adapt their behaviour - almost like a human colleague.
As a result, deep spiking neural networks are setting new standards for machines capable of learning and creating the basis for intelligent, self-learning systems in industry.
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