Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Lin, Milo M."'
Autor:
Arunachalam, Easun, Lin, Milo M.
Molecular systems can convert between different steady-state probability distributions over system states, an operation that can be considered to be a computational step. Rather than converting between equilibrium steady-states at computational timep
Externí odkaz:
http://arxiv.org/abs/2311.15378
Autor:
Lin, Milo M
Living systems efficiently use chemical fuel to do work, process information, and assemble patterns despite thermal noise. Whether high efficiency arises from general principles or specific fine-tuning is unknown. Here, applying a recent mapping from
Externí odkaz:
http://arxiv.org/abs/2210.04380
Autor:
Lin, Milo M.
In living systems, collective molecular behavior is driven by thermodynamic forces in the form of chemical gradients. Leveraging recent advances in the field of nonequilibrium physics, I show that increasing the thermodynamic force alone can induce q
Externí odkaz:
http://arxiv.org/abs/2209.09372
Human reasoning can distill principles from observed patterns and generalize them to explain and solve novel problems. The most powerful artificial intelligence systems lack explainability and symbolic reasoning ability, and have therefore not achiev
Externí odkaz:
http://arxiv.org/abs/2111.08275
Autor:
Blazek, Paul J., Lin, Milo M.
How perception and reasoning arise from neuronal network activity is poorly understood. This is reflected in the fundamental limitations of connectionist artificial intelligence, typified by deep neural networks trained via gradient-based optimizatio
Externí odkaz:
http://arxiv.org/abs/2002.11319
Autor:
Manley, Leigh J., Lin, Milo M.
Publikováno v:
In Biophysical Journal August 2023
Autor:
Espada, Constanza E., Sari, Levent, Cahill, Michael P., Yang, Hua, Phillips, Stacia, Martinez, Nicholas, Kenney, Adam D., Yount, Jacob S., Xiong, Yong, Lin, Milo M., Wu, Li
Publikováno v:
In Journal of Biological Chemistry June 2023
Akademický článek
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Akademický článek
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Autor:
Lin, Milo M.
The Boltzmann distribution predicts the collective behavior of systems at thermodynamic equilibrium as a function of their constituent parts. Yet most systems in nature are not at equilibrium, and a unified theory of their behavior does not currently
Externí odkaz:
http://arxiv.org/abs/1610.02612