Brain inspired machines are better at math than expected
2 Articles
2 Articles
Brain inspired machines are better at math than expected
Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The breakthrough could lead to powerful, low-energy supercomputers while revealing new secrets about how our brains process information.
Researchers from the University of Granada Joaquín J. Torres Agudo and Elvira Romera Gutiérrez have published in Quantum Science and Technology the article Dynamic Synaptic Modulation of LMG Qubits Populations in a Bio-Inspired Quantum Brain, a study that presents a theoretical framework for developing a quantum brain model inspired by certain mechanisms of regulation of biological neural networks.
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