Results 191 to 200 of about 2,955,194 (245)

FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model for Dynamical Simulation

Advanced Theory and Simulations, EarlyView.
FMint is introduced as a multi‐modal foundation model that integrates human‐designed solvers and data‐driven methods for fast, accurate simulation of dynamical systems. FMint leverages in‐context learning within a transformer‐based framework to refine coarse numerical solutions.
Zezheng Song, Jiaxin Yuan, Haizhao Yang
wiley   +1 more source

Cognitive biases and cultural evolution in the emergence of space-time mappings in language

, 2018
Tessa Verhoef, Esther Walker, Tyler Marghetis   +2 more
openalex   +1 more source

LightRoseTTA: High‐Efficient and Accurate Protein Structure Prediction Using a Light‐Weight Deep Graph Model

Advanced Science, EarlyView.
Accurately predicting protein structure is of great significance in biological research. LightRoseTTA, a light‐weight deep graph network, to achieve prediction for proteins is presented. Notably, three highlights are possessed by LightRoseTTA: i) high‐accurate structure prediction for proteins; ii) high‐efficient training and inference; and iii) low ...
Xudong Wang, Tong Zhang, Guangbu Liu, Zhen Cui, Zhiyong Zeng, Cheng Long, Wenming Zheng, Jian Yang   +7 more
wiley   +1 more source

Pathogen stress heightens sensorimotor dimensions in the human collective semantic space. [PDF]

Commun Psychol
Fu Z, Chen H, Liu Z, Sun M, Liu Z, Bi Y.
europepmc   +1 more source

Asymmetric Inter‐Hemisphere Communication Contributes to Speech Acquisition of Toddlers with Cochlear Implants

Advanced Science, EarlyView.
The present study constructs machine‐learning models to resolve developmental relationships among auditory performance, auditory cortical processing, and functional connectivity of the bilateral language network during the first year of restored hearing. The results demonstrate that asymmetric inter‐hemisphere communication contributes significantly to
Xue Zhao, Meiyun Wu, Haotian Liu, Yuyang Wang, Zhikai Zhang, Yuhe Liu, Yu‐Xuan Zhang   +6 more
wiley   +1 more source

Traditional vs. AI-generated meteorological risks for emergency predictions. [PDF]

Front Artif Intell
Sirri N, Guyeux C.
europepmc   +1 more source

Altered Brain‐Behavior Association During Resting State is a Potential Psychosis Risk Marker

Advanced Science, EarlyView.
The study detects a potential multimodal biomarker that can be promising for identifying early markers of psychosis. It shows a consistent brain‐behavior association between a circuit of interconnected regions and executive function in neurotypical controls and individuals at various stages of psychosis.
Leonardo Fazio, Giuseppe Stolfa, Roberta Passiatore, Angelantonio Tavella, Giuseppe Blasi, Madalina O. Buciuman, Aaron L. Goldman, Shalaila S. Haas, Lana Kambeitz‐Ilankovic, Nikolaos Koutsouleris, Monica Nicoli, Teresa Popolizio, Antonio Rampino, Anne Ruef, Fabio Sambataro, Pierluigi Selvaggi, William Ulrich, Daniel R. Weinberger, Apulian Network on Risk for Psychosis, PRONIA Consortium, Alessandro Bertolino, Linda A. Antonucci, Giulio Pergola   +22 more
wiley   +1 more source

Advancing the Identification of Bioactive Molecules and the Construction of a Synergistic Drug Delivery System in Combating Lung Injury

Advanced Science, EarlyView.
Traditional Chinese Medicine (TCM), while holistic and historically esteemed, faces challenges in “miracle cures” due to slow onset, long cycles, and difficulty controlling quality. This study obtains the active ingredients, glabridin (GLA) and puerarin (PUE), from Ge‐Gen Decoction (GGD), developing a safe and effective drug delivery system, GLA‐PUE ...
Jianhong Qi, Yanxia Wang, Huan Chen, Kaitian Wu, Pei Zhou, Yue Dou, Bingqi Xiong, Wei Zhou   +7 more
wiley   +1 more source

Urban sensing in the era of large language models. [PDF]

Innovation (Camb)
Hou C, Zhang F, Li Y, Li H, Mai G, Kang Y, Yao L, Yu W, Yao Y, Gao S, Chen M, Liu Y.   +11 more
europepmc   +1 more source

MaTableGPT: GPT‐Based Table Data Extractor from Materials Science Literature

Advanced Science, EarlyView.
A significant challenge in materials informatics today is the creation of large‐scale experimental databases. This difficulty primarily stems from the complexities involved in consolidating locally distributed datasets from various laboratories into a single cohesive database.
Gyeong Hoon Yi, Jiwoo Choi, Hyeongyun Song, Olivia Miano, Jaewoong Choi, Kihoon Bang, Byungju Lee, Seok Su Sohn, David Buttler, Anna Hiszpanski, Sang Soo Han, Donghun Kim   +11 more
wiley   +1 more source