A machine-learning framework for accelerating spin-lattice relaxation simulations by Valerio Briganti, Alessandro Lunghi

“…Ab initio simulations have played a fundamental role in shaping our understanding of this process but further progress is hindered by their high computational cost. …”
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Bio-inspired event-based looming object detection for automotive collision avoidance by F Schubert, J C Knight, A Philippides, T Nowotny

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An extensible open-source solution for research digitalisation in materials science by Victor Dudarev, Lars Banko, Alfred Ludwig

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Generative Models as a Complex Systems Science: How Can We Make Sense of Large Language Model Behavior? by Ari Holtzman, Peter West, Luke Zettlemoyer

“…Coaxing out desired behavior from pretrained models, while avoiding undesirable ones, has redefined Natural Language Processing (NLP) and is reshaping how we interact with computers. …”
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Quantifying two-dimensional filamentous and invasive growth spatial patterns in yeast colonies. by Benjamin J Binder, Joanna F Sundstrom, Jennifer M Gardner, Vladimir Jiranek, Stephen G Oliver

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Innovative application of particle swarm algorithm in the improvement of digital enterprise management efficiency by Shengnan Zhang

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Excitatory local interneurons enhance tuning of sensory information. by Collins Assisi, Mark Stopfer, Maxim Bazhenov

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Neural network approaches, including use of topological data analysis, enhance classification of human induced pluripotent stem cell colonies by treatment condition. by Alexander Ruys de Perez, Paul E Anderson, Elena S Dimitrova, Melissa L Kemp

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Chapter 2: Data-driven view of disease biology. by Casey S Greene, Olga G Troyanskaya

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Distributed caching system with strong consistency model by Viktor Repin, Anatoly Sidorov

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Investigating methods for forensic analysis of social media data to support criminal investigations by Muhammad Arshad, Ashfaq Ahmad, Choo Wou Onn, Emmanuel Arko Sam, Emmanuel Arko Sam

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Application of preoperative registration and automatic tracking technique for image-guided maxillofacial surgery by Wenbin Zhang, Xudong Wang, Jianfei Zhang, Guofang Shen

“…The accuracy of registration process was determined, and the deviation between planning model and postoperative computed tomography (CT) model was detected.Results: In each case, the preoperative registration was successful for navigational surgery. …”
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Edge neuro-statistical learning for event-based visual motion detection and tracking in roadside safety systems by Cristian Axenie, Ertan Halilov, Julian Main, David Weiss

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Changes in Postural Syntax Characterize Sensory Modulation and Natural Variation of C. elegans Locomotion. by Roland F Schwarz, Robyn Branicky, Laura J Grundy, William R Schafer, André E X Brown

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Regulation of replication timing in Saccharomyces cerevisiae. by Rosie Berners-Lee, Eamonn Gilmore, Francisco Berkemeier, Michael A Boemo

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Variance in C. elegans gut bacterial load suggests complex host-microbe dynamics. by Satya Spandana Boddu, K Michael Martini, Ilya Nemenman, Nic M Vega

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Molecular evolution of peptide ligands with custom-tailored characteristics for targeting of glycostructures. by Niels Röckendorf, Markus Borschbach, Andreas Frey

“…As an advanced approach to identify suitable targeting molecules required for various diagnostic and therapeutic interventions, we developed a procedure to devise peptides with customizable features by an iterative computer-assisted optimization strategy. An evolutionary algorithm was utilized to breed peptides in silico and the "fitness" of peptides was determined in an appropriate laboratory in vitro assay. …”
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Adapting to time: Why nature may have evolved a diverse set of neurons. by Karim G Habashy, Benjamin D Evans, Dan F M Goodman, Jeffrey S Bowers

“…Brains have evolved diverse neurons with varying morphologies and dynamics that impact temporal information processing. In contrast, most neural network models use homogeneous units that vary only in spatial parameters (weights and biases). …”
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M-band wavelet-based multi-view clustering of cells. by Tong Liu, Zihuan Liu, Wenke Sun, Adeethyia Shankar, Yongzhong Zhao, Xiaodi Wang

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Learning as filtering: Implications for spike-based plasticity. by Jannes Jegminat, Simone Carlo Surace, Jean-Pascal Pfister

“…Most normative models in computational neuroscience describe the task of learning as the optimisation of a cost function with respect to a set of parameters. …”
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