Results 111 to 120 of about 1,669,943 (280)

Closing the Empirical Loop: Autonomous AI Agents Conduct End‐to‐end Research With Human Participants

Advanced Science, EarlyView.
A multi‐agent AI system autonomously executes the complete scientific workflow, from hypothesis to manuscript, across three psychological studies involving 288 participants. The system designs experiments, collects real world data, develops analysis pipelines, and writes manuscripts with theoretical rigor comparable to experienced researchers.
Gabrielle Wehr, Reuben Rideaux, Amaya J. Fox, David R. Lightfoot, Jason Tangen, Jason B. Mattingley, Shane E. Ehrhardt   +6 more
wiley   +1 more source

Bayes and pseudo-Bayes estimates of conditional probabilities and their reliability [PDF]

, 1993
Various ways of estimating probabilities, mainly within the Bayesian framework, are discussed. Their relevance and application to machine learning is given, and their relative performance empirically evaluated. A method of accounting for noisy data is given and also applied.
openaire   +3 more sources

Efficient Current‐Driven Perpendicular Magnetization Switching Through the Synergy of the Orbital and Spin Hall Effects

Advanced Science, EarlyView.
NiNb alloys enable efficient charge‐to‐spin conversion by combining the spin Hall effect of nickel with the orbital Hall effect of niobium. Composition tuning yields spin‐torque efficiencies of −1.4 to −1.7 and a non‐monotonic efficiency‐resistivity relationship, revealing orbital‐spin synergy beyond conventional spin Hall materials and offering a ...
Chuangwen Wu, Jing Zhou, Yibo Fan, Jiali Chen, Rongce Sun, Zonghao Deng, Zengxin Wei, Chuantong Ren, Xingen Zheng, Zhaowei Zhang, Jing Zhang, Jingfeng Li, Jinkui Zhao, Wei Jiang, Haibo Ke, Hao Wu, Weihua Wang   +16 more
wiley   +1 more source

An Improvement to Interval Estimation for Small Samples

Journal of Harbin University of Science and Technology, 2017
Because it is difficult and complex to determine the probability distribution of small samples，it is improper to use traditional probability theory to process parameter estimation for small samples.
SUN Hui-Ling, HUWei-wen, LIU Hai-tao
doaj   +1 more source

Artificial Intelligence‐Guided Phenotypic Drug Repurposing Against Streptococcus pneumoniae

Advanced Science, EarlyView.
Integrated artificial intelligence (AI) ensembles identify highly potent repurposed drugs against Streptococcus pneumoniae. Prospective virtual screening of 6747 drugs uncovers nine active candidates, including thiostrepton. This drug exhibits low picomolar potency and bypasses established resistance in multidrug‐resistant strains, demonstrating an ...
Joshua S. Fitch, Muhammad D. Ariadi, Min Jung Kwun, Leonie Howells, Saiveth Hernandez‐Hernandez, Nicholas J. Croucher, Pedro J. Ballester   +6 more
wiley   +1 more source

Bayes linear covariance matrix adjustment [PDF]

, 1995
In this thesis, a Bayes linear methodology for the adjustment of covariance matrices is presented and discussed. A geometric framework for quantifying uncertainties about covariance matrices is set up, and an inner-product for spaces of random matrices ...
Wilkinson, Darren James
core  

A comparison between Bayes estimation and the estimation of the minimal unbiased quadratic Standard of the bi-division variance analysis model in the presence of interaction

Tikrit Journal of Pure Science, 2020
In this study, the variance compounds parameters of the mixed bi-division variance analysis sample are estimated. This estimation is obtained, by Bayes quadratic unbiased estimator. The second way to estimate variance compounds parameters of a suggested
Shaymaa Riyadh Thanoon
doaj   +2 more sources

Stochastic Optimal Control for Uncertain Structural Systems Under Random Excitations Based on Bayes Optimal Estimation

Buildings
Stochastic vibration control of uncertain structures under random loading is an important problem and its minimax optimal control strategy remains to be developed.
Hua Lei, Zhao-Zhong Ying, Zu-Guang Ying
doaj   +1 more source

TSTScope Unifies Single‐Cell Multi‐Omics to Identify Functional T Cell States Predictive of Immunotherapy Response

Advanced Science, EarlyView.
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao, Jinyu Cheng, Feng‐ao Wang, Chenxin Yi, Jiajun Chen, Keyue Wang, Lulu Liu, Junwei Liu, Yixue Li   +8 more
wiley   +1 more source

Deciphering the Crystallinity‐Dependent Sensitivity of Charge Injection in n‐Channel Organic Transistors: Reliable Characterization and Optimized Performance

Advanced Science, EarlyView.
Precise characterization of n‐type organic semiconductors necessitates decoupling interfacial constraints from intrinsic charge transport. This work reveals that disordered polymers are particularly vulnerable to contact‐limited bottlenecks compared to their crystalline counterparts.
Walid Boukhili, Chan Zhang, Jianeng Ma, Changwoo Yu, Chee Leong Tan, Huabin Sun, Zhihao Yu, Guangan Yang, Xiang Wan, Li Zhu, Yong Xu, Liyang Yu, Ruipeng Li, Seung‐Hoon Lee, Zhuping Fei, Dongyoon Khim   +15 more
wiley   +1 more source