Results 31 to 40 of about 24,748 (99)

Generalized Effective Reducibility

, 2016
We introduce two notions of effective reducibility for set-theoretical statements, based on computability with Ordinal Turing Machines (OTMs), one of which resembles Turing reducibility while the other is modelled after Weihrauch reducibility.
A Zarach, J Hamkins, P Koepke, RA Shore, T Jech, V Brattka, W Hodges   +6 more
core   +1 more source

Who Gives Feedback Matters: Student Biases Towards Human and AI‐Generated Formative Feedback

Journal of Computer Assisted Learning, Volume 42, Issue 1, February 2026.
ABSTRACT Background Feedback is essential for learning, helping individuals understand and improve their performance. However, providing timely, personalised feedback in higher education is challenging. Generative AI offers a scalable solution, yet little is known about students' biases towards AI‐generated feedback.
Tanya Nazaretsky, Paola Mejia‐Domenzain, Vinitra Swamy, Jibril Frej, Tanja Käser   +4 more
wiley   +1 more source

Is Addiction Research Addicted to Artificial Intelligence? Mapping the Intersection of Artificial Intelligence, Substance Use and Mental Health Through a Bibliometric Analysis

Drug and Alcohol Review, Volume 45, Issue 1, January 2026.
ABSTRACT Issues From extracting insights from large‐scale, multimodal data to prevention and support, there is growing interest in the applications and implications of recent advances in Artificial Intelligence (AI) within the fields of addiction, substance use and mental health, which we refer to as ASUM.
Loïs Vanhée, Simone Scarpa
wiley   +1 more source

A community‐driven vision for a new knowledge resource for AI

AI Magazine, Volume 46, Issue 4, Winter 2025.
Abstract The long‐standing goal of creating a comprehensive, multi‐purpose knowledge resource, reminiscent of the 1984 Cyc project, still persists in AI. Despite the success of knowledge resources like WordNet, ConceptNet, Wolfram|Alpha and other commercial knowledge graphs, verifiable, general‐purpose, widely available sources of knowledge remain a ...
Vinay K Chaudhri, Chaitan Baru, Brandon Bennett, Mehul Bhatt, Darion Cassel, Anthony G Cohn, Rina Dechter, Esra Erdem, Dave Ferrucci, Ken Forbus, Gregory Gelfond, Michael Genesereth, Andrew S. Gordon, Benjamin Grosof, Gopal Gupta, Jim Hendler, Sharat Israni, Tyler R. Josephson, Patrick Kyllonen, Yuliya Lierler, Vladimir Lifschitz, Clifton McFate, Hande Küçük McGinty, Leora Morgenstern, Alessandro Oltramari, Praveen Paritosh, Dan Roth, Blake Shepard, Cogan Shimizu, Denny Vrandečić, Mark Whiting, Michael Witbrock   +31 more
wiley   +1 more source

Biological and Biologically Inspired Functional Nanostructures: Insights into Structural, Optical, Thermal, and Sensing Applications

Advanced Materials, Volume 37, Issue 51, December 23, 2025.
Biological and biologically‐inspired functional nanostructures with structural, thermal, optical, and sensing applications are reviewed. The role of nanoscale features in biological materials on performance is described, and their blueprints are used for bio‐inspired nanomaterials, synthesized using advanced techniques (i.e., photolithography, bio ...
Chao Hsuan (Joseph) Sung, Taige Hao, Herry Fang, Andrew Tran Nguyen, Valentina Perricone, Haitao Yu, Wei Huang, Ezra Sarmiento, Adrian Francisco Duran Ornelas, Derek Lublin, Ric Wehling, Sanaz Farajollahi, Atsushi Arakaki, Dhriti Nepal, Nathan Patrick Lord, David Kisailus   +15 more
wiley   +1 more source

Recent Progress in CO2 Conversion: An Overview of Catalytic Strategies for Sustainable Fuel and Chemical Synthesis

SmartMat, Volume 6, Issue 6, December 2025.
This review systematically outlines recent advances in the catalytic strategies for converting CO₂ into valuable products, including photocatalysis, electrocatalysis, CO2 hydrogenation, photothermal catalysis, non‐thermal plasma, and biocatalytic processes.
An Zhang, Yanming Cai, Liang Guo, Chao Wang, Qingbo Wa, Yanping Xu, Jian Zhou, Hongshuang Fan, Ziyun Li, Xinyue Long, Jiabei Tang, Zijian Li, Li Zhai, Zhenyu Shi, Wei Zhai, Yuhui Tian, Shuai Bi, Hao Wei, Mingliang Hu, Yang Xu, Yiran Zhang, Yu Zhang, Ruiying Ding, Junjun Li, Shuangqun Chen, Jianfeng Huang, Zhanxi Fan, Xingchen Jiao, Guigao Liu, Haiqing Wang, Haifeng Tian, Jingyu Pang, Kuncheng Zhang, Weisong Liu, Huijuan Cui, Lingling Zhang, Xiaofu Sun, Jianling Zhang, Dan Ren, Sheng Zhang, Lu Qiao, Zhe Weng, Hongmei Li, Min Liu, Miao Zhong, Lei Wang, Jun Gu, Hao Bin Wu, Bolong Huang, Weijia Zhou, Chuan Xia, Min‐Rui Gao, Changbin Zhang, Rong Cao, Wei Chen, Yuan‐Biao Huang, Yongye Liang, Ya‐Qian Lan, Guoxiong Wang, Baoyu Xia, Yujie Xiong, Xinbin Ma, Tongbu Lu, Jinhua Ye, Yi Xie, Buxing Han, Jiawei Liu, Zhicheng Zhang, Hua Zhang   +68 more
wiley   +1 more source

The Mode of Computing

, 2019
The Turing Machine is the paradigmatic case of computing machines, but there are others, such as Artificial Neural Networks, Table Computing, Relational-Indeterminate Computing and diverse forms of analogical computing, each of which based on a ...
Pineda, Luis A.
core  

A Generalized New Method for Anomalous Phased Array Radar Echo Image Restoration Based on Generative Adversarial Network

Earth and Space Science, Volume 12, Issue 12, December 2025.
Abstract X‐band Phased array radars are characterized by high spatial and temporal resolution, but suffer from a range of data quality problems, such as echo voids after the filtering of ground clutter, abnormal radials, radial obstructions and irregular missing radar echoes. This paper proposes a radar echo image restoration model (GCD) based on color
Jinyan Xu, Ling Yang, Xiaoqiong Zhen, Yan Fu, Zhendong Yao, Chong Wu, Chao Chen   +6 more
wiley   +1 more source

EDS Analysis for Petrology: A Probabilistic Framework With GPyEDS

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract Microtextural and chemical data from minerals in igneous rocks are critical for unpacking and developing understanding of processes in magmatic systems. Recent advancements leveraging unsupervised machine learning methods offer novel approaches for phase classification without requiring prior knowledge of phases or chemistry.
Norbert Toth, Sarah Shi, John Maclennan, Po‐Yen Tung   +3 more
wiley   +1 more source

From Fluctuations to Function: Unveiling the Role of Stochasticity in Life‐Like Systems

ChemSystemsChem, Volume 7, Issue 6, November 2025.
In this short review, we put forward the idea that randomly fluctuating, or stochastic, molecular events can and do play a role in the emergence of complex biological phenomena at longer length scales. There is a growing body of evidence of this occurring in natural systems, and we survey the computational and experimental attempts of researchers to ...
Aleksa Lakic, Alexander F. Mason
wiley   +1 more source