Of artificial intelligence, machine learning, and the human brain. Celebrating Miklos Palkovits' 90th birthday

The effect of such an increase in electricity demand on the “carbon footprint” with the current mix of electric power generation (natural gas: 38%; coal: 22%; nuclear: 19%; renewables: 20%; hydroelectric 6%) can be alarmingly high (Dhar, 2020; Heikkilä, 2023). [...]of the exact energy “consumption” of the human brain per operation, which is rather challenging to determine even with magnetic resonance spectroscopy (MRS) and functional magnetic resonance spectroscopy (fMRS) (Rothman et al., 2011, 2019; Hyder and Rothman, 2012), the notion that the human brain is using less energy when compared to AI is hard to contest (Hughes, 2023). The last decade of neuroscience research utilizing powerful imaging, electrophysiology, and such techniques has greatly expanded our knowledge; however, we are still far from a complete understanding of how the human brain works. Conflict of interest The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.