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cond-mat.stat-mech2025
Thermodynamic cost of inference and learning in physical neural networks
Alexei V. Tkachenko
How much of the energy consumed by artificial neural networks is set by physics rather than by implementation? For irreversible digital hardware the reference is Landauer's princip…
cond-mat.stat-mech2025
Evolutionary chemical learning in dimerization networks
Alexei V. Tkachenko, Bortolo Matteo Mognetti, Sergei Maslov
We present a framework for chemical learning based on Competitive Dimerization Networks (CDNs) - systems in which multiple molecular species, e.g., proteins, DNA oligomers, or RNA…