Nature Physics: work extracted from hidden environmental memory in experiment
burny_tech · x · 2026-10-21
Researchers experimentally demonstrate the extraction of work from environmental memory in Nature Physics (open access). Unlike classic information engines that assume Markovian environments, the team used time-resolved measurements on an optically trapped Brownian particle with a time-delayed double-measurement protocol, harnessing hidden degrees of freedom that retain correlations with the system's history as a thermodynamic resource—opening a new route to information-to-work conversion in non-Markovian settings.
More from Research
- EMNLP paper: diffusion LMs internally encode latent denoising timestep representations — gsarti_ · 2026-10-23
- KU Leuven and VIB open two Group Leader professorships in AI for Biology, start 2027 — jpillowtime · 2026-10-23
- Subspace Tuning curbs LLM catastrophic forgetting by freezing principal singular directions — scottniekum · 2026-10-23
- Perceptic launches PercepticOS, an AI workspace for 'scientific superintelligence' — nathanbenaich · 2026-10-23
- EPFL's Bosselut to talk long context as test-time learning at ELLIS seminar — andre_t_martins · 2026-10-23
- DRATS: Adaptive Task Sampling Boosts Worst-Task Performance in Multi-Task RL — Cohere · 2026-10-23