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- Kenji Doya and Yutaka Matsuo.
- Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University.
- Brain Nerve. 2019 Jul 1; 71 (7): 649-655.
AbstractArtificial intelligence and brain science have kept a swinging relationship with opposing views: "Artificial realization of intelligence should be free from biological constraints" and "We should reverse-engineer the best existing implementation of intelligence." In this article, we first review today's achievements of artificial intelligence and its impacts on brain and life sciences. We then discuss how progresses in brain science can contribute to future developments in artificial intelligence.
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