Thermodynamic cost and benefit of memory.

This letter exposes a tight connection between thermodynamic efficiency and predictive inference. A lower bound on dissipation is derived for partially observable information engines. It is shown that efficiency is limited by the retention of irrelevant information. A data representation strategy is derived from minimizing a lower bound on the dissipation of generalized information engines which use temperature differences. Predictive inference emerges as the best strategy.