Brain chips, particularly those using organoid intelligence (OI), introduce a novel form of biological computing that may be faster, more efficient, and more powerful than silicon-based computing and AI, requiring only a fraction of the energy[3]. Hybrid platforms with live human neurons are capable of adapting, learning, and responding to external inputs in real time[2]. The advantages of biological computing over machine learning are multiplicative; potentially, the total energy spent to learn a new task might be significantly lower[3].
Specifically, organoid intelligence (OI)-based biocomputing systems may allow faster decision-making and continuous learning, and greater energy and data efficiency[3]. If biologically-based intelligence could be leveraged, it may offer a thermodynamically sustainable system, accessible at a personal level, that would act in a simple, efficient and adaptive manner[1]. The development of 'intelligence-in-a-dish' could help elucidate the pathophysiology of devastating developmental and degenerative diseases, potentially aiding the identification of novel therapeutic approaches to address major global unmet needs[3].
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