Results 91 to 100 of about 68,591 (289)

Aging as a Loss of Goal‐Directedness: An Evolutionary Simulation and Analysis Unifying Regeneration with Anatomical Rejuvenation

Advanced Science, EarlyView.
The paper proposes that the root cause of aging is the loss of anatomical goal‐directedness after development. Using evolutionary neural cellular automata simulations, the authors show that after the organism has reached its developmental homeostatic setpoint (the adult morphology), the absence of target state to pursue leads to a drifting anatomical ...
Léo Pio‐Lopez, Benedikt Hartl, Michael Levin   +2 more
wiley   +1 more source

Learning to Navigate in Chemical Fields Without A Map at Low Reynolds Numbers

Advanced Science, EarlyView.
Deep reinforcement learning enables a reconfigurable artificial microswimmer to exhibit run‐and‐tumble strategy to navigate toward a chemical source. This mapless microswimmer can robustly navigate in diverse chemical fields without relying on a pre‐existing map.
Yangzhe Liu, On Shun Pak, Alan C. H. Tsang   +2 more
wiley   +1 more source

Polymorphism Crystal Structure Prediction with Adaptive Space Group Diversity Control

Advanced Science, EarlyView.
Polymorphic materials exhibit diverse properties despite identical compositions, but predicting their crystal structures remains challenging. This study introduces ParetoCSP2, a multi‐objective genetic algorithm incorporating genotypic age, energy, and space group diversity.
Sadman Sadeed Omee, Lai Wei, Sourin Dey, Jianjun Hu   +3 more
wiley   +1 more source

Neural Information Processing and Time‐Series Prediction with Only Two Dynamical Memristors

Advanced Electronic Materials, EarlyView.
The present study demonstrates how simple circuits with only two memristive devices are utilized to perform high complexity temporal information processing tasks, like neural spike detection in noisy environment, or time‐series prediction. This circuit simplicity is enabled by the dynamical complexity of the memristive devices, i.e.
Dániel Molnár, Tímea Nóra Török, János Volk, Roland Kövecs, László Pósa, Péter Balázs, György Molnár, Nadia Jimenez Olalla, Zoltán Balogh, János Volk, Juerg Leuthold, Miklós Csontos, András Halbritter   +12 more
wiley   +1 more source

Exploring consumption profiles, consumer experience and quality claims of Canary Islands' cider (Spain): A multidimensional analysis

Agribusiness, EarlyView.
Abstract The exponential expansion of the global cider market positions it as a viable alternative to traditional choices such as wine and beer. Nevertheless, there exists a paucity of research examining the various factors influencing consumer interest in cider.
Eva Parga Dans, Pablo Alonso González, Raimundo Otero Enríquez, María‐Pilar Sáenz Navajas   +3 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

ChatMolData: A Multimodal Agent for Automatic Molecular Data Processing

Advanced Intelligent Systems, EarlyView.
While large language models (LLMs) struggle with molecular data due to single‐modality limitations, ChatMolData—a multimodal agent for processing databases, images, structure files, and documents—is presented. It combines LLMs with tools for retrieval, structuring, prediction, visualization, and search, achieving > 90% accuracy across 128 tasks.
Yi Yu, Huien Wang, Libin Zong, Bo Chen, Yaqin Li, Xiaohui Yu   +5 more
wiley   +1 more source

Episodic Memory in Animals

Philosophy Compass
ABSTRACTDo animals have episodic memory—the kind of memory which gives us rich details about particular past events—or is this uniquely human? This might look like an empirical question, but is attracting increasing philosophical attention. We review relevant behavioural evidence, as well as drawing attention to neuroscientific and computational ...
Boyle, Alexandria, Brown, Simon
openaire   +2 more sources

Novelty rejection in episodic memory

Psychological Review, 2019
Episodic memory theories have postulated that in recognition, a probe is accepted or rejected on the basis of its global similarity to studied items. Mewhort and Johns (2000) directly tested global similarity predictions by manipulating the feature compositions of probes -- novelty rejection was facilitated when probes contained novel features even ...
Adam F. Osth, Aspen Zhou, Simon D. Lilburn, Daniel R. Little   +3 more
openaire   +4 more sources