The capabilities of large AI systems are constantly improving, but they consume a great deal of energy during training and operation. The human brain, by contrast, is extremely energy-efficient: It requires only around 20 watts.
Researchers at Graz University of Technology, in collaboration with international partners, have developed a novel brain-inspired AI model that can plan flexibly and solve complex problems. In doing so, it consumes significantly less energy than multilayer neural networks or large language models. The study is published in the journal Nature Machine Intelligence.
“The brain works in a completely different way from tod...
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