Artificial intelligence may not need networks at all

The advancement of edge computing, along with increasingly powerful chips, may make it possible for artificial intelligence (AI) to operate without wide-area networks (WAN).

Researchers working on a project at the University of Waterloo say they can make AI adapt as computational power and memory are removed. And indeed if they can do that, it would allow the neural networks to function free of the internet and cloud — the advantages being better privacy, lower data-send costs, portability and the utilization of AI applications in geographically remote areas.

The scientists say they can teach AI to learn it doesn’t need lots of resources.

The group claims to be doing it by copying nature and placing the neural network in a virtual environment. They “then progressively and repeatedly deprive it of resources.” The AI subsequently evolves and adapts, the team members say in a news article on the school’s website.

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