brain-inspired computing
[/breɪn ɪnˈspaɪrd kəmˈpjuːtɪŋ/]
noun
computação inspirada no cérebro
1. A computational approach that mimics the structure and function of the biological brain to solve complex problems, including neural networks, neuromorphic computing, and spiking neural networks.
Brain-inspired computing is revolutionizing artificial intelligence by replicating how neurons communicate.
A computação inspirada no cérebro está revolucionando a inteligência artificial ao replicar como os neurônios se comunicam.
2. Computing systems designed to emulate biological neural processes for more efficient and adaptive information processing.
Researchers are developing brain-inspired computing architectures that consume significantly less power than traditional computers.
Pesquisadores estão desenvolvendo arquiteturas de computação inspirada no cérebro que consomem significativamente menos energia do que computadores tradicionais.
This term is primarily used in academic, technological, and research contexts in both Brazil and the United States. It reflects the growing interest in neurotechnology and AI development in Silicon Valley and Brazilian tech hubs. The concept bridges neuroscience and computer science, making it particularly relevant in universities and tech companies focused on AI advancement.
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