Results 191 to 200 of about 1,088 (256)

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Evidence for early circulation of the M1UK sublineage of Streptococcus pyogenes in Germany, 2015-2023. [PDF]

Emerg Microbes Infect
Rößler S, Boutin S, Berner R, Tomidis Chatzimanouil MK, Belheouane M, Rupp J, Merker M, Dresden GAS Study Group, Töpfner N, Nurjadi D.   +9 more
europepmc   +1 more source

Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction

Advanced Intelligent Discovery, EarlyView.
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong, Lejia Wang, Tianqing Zhu, Keith Butler, Sichao Li   +4 more
wiley   +1 more source

Tracking the Pathways of West Nile Virus: Phylogenetic and Phylogeographic Analysis of a 2024 Isolate from Portugal. [PDF]

Microorganisms
Maroco D, Parreira R, Dos Santos FA, Lopes Â, Simões F, Orge L, Seabra SG, Fagulha T, Brazio E, Henriques AM, Duarte A, Duarte MD, Barros SC.   +12 more
europepmc   +1 more source

Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network

Advanced Intelligent Discovery, EarlyView.
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang, Bing Sun, Zhigang Chen, Chenyu Zhao, Eugene Bakker, Yaojie Lei, Lingfei Zhao, Shijian Wang, Chao Liu, Virginia Xiaojun He, Bahram Shirzadi, Hao Liu, Xin Xi, Ruiliu Liu, Dongqing Wu, Guodong Long, Guoxiu Wang   +16 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Determination of ADP/ATP translocase isoform ratios in malignancy and cellular senescence. [PDF]

Mol Oncol
Liblova Z, Maurencova D, Salovska B, Kratky M, Mracek T, Korandova Z, Pecinova A, Vasicova P, Rysanek D, Andera L, Fabrik I, Kupcik R, Kashmel P, Sultana P, Tambor V, Bartek J, Novak J, Vajrychova M, Hodny Z.   +18 more
europepmc   +1 more source

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

Genomic perspective on the bacillus causing paratyphoid B fever. [PDF]

Nat Commun
Hawkey J, Frézal L, Tran Dien A, Zhukova A, Brown D, Chattaway MA, Simon S, Izumiya H, Fields PI, De Lappe N, Kaftyreva L, Xu X, Isobe J, Clermont D, Njamkepo E, Akeda Y, Issenhuth-Jeanjean S, Makarova M, Wang Y, Hunt M, Jenkins BM, Ravel M, Guibert V, Serre E, Matveeva Z, Fabre L, Cormican M, Yue M, Zhu B, Morita M, Iqbal Z, Silva Nodari C, Pardos de la Gandara M, Weill FX.   +33 more
europepmc   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source