However, when engineers scale these chips toward cortex-level complexity, projected power climbs into the kilowatt-megawatt bracket, whereas the human brain performs comparable computation on roughly 20 watts (Mehonic and Kenyon, 2022). Biocomputing has been proposed as one route to address energy limitations in silicon-based systems by using brain organoids grown on multielectrode arrays.
All our experiments were conducted using FinalSpark's NeuroPlatform (Jordan et al., 2024), providing access to organoids over a cloud-based system, as shown in Figure 1. In this setup, forebrain organoids are cultured to approximately 500 μm in diameter (Govindan et al., 2021) and contain mature neurons, astrocytes, and oligodendrocytes displaying robust network activity. Maintained under continuous perfusion, they can remain electrophysiologically active for up to approximately 100 days under favorable conditions
This is absolutely fucked. The original argument for these human brain organoids were they're only 10k neurons. Now five minutes later they're talking about energy savings in scaling to cortex-level human brain cloud API.
All our experiments were conducted using FinalSpark's NeuroPlatform (Jordan et al., 2024), providing access to organoids over a cloud-based system, as shown in Figure 1. In this setup, forebrain organoids are cultured to approximately 500 μm in diameter (Govindan et al., 2021) and contain mature neurons, astrocytes, and oligodendrocytes displaying robust network activity. Maintained under continuous perfusion, they can remain electrophysiologically active for up to approximately 100 days under favorable conditions
This is absolutely fucked. The original argument for these human brain organoids were they're only 10k neurons. Now five minutes later they're talking about energy savings in scaling to cortex-level human brain cloud API.