Results 61 to 70 of about 55,072 (308)

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Are We There Yet? Notes Towards Benchmarking an Experimental AI-Assisted Workflow for Humanities Data Cleaning and Reconciliation

Journal of Open Humanities Data
This paper introduces a novel AI-assisted pipeline developed to prepare data for the European Research Council-funded project “STEMMA: Systems of Transmitting Early Modern Manuscript Verse, 1475–1700.” Now approaching its midpoint, STEMMA develops and ...
Erin A. McCarthy
doaj   +1 more source

Agentic AutoSurvey: Let LLMs Survey LLMs

CoRR
29 pages, 7 ...
Yixin Liu 0002, Yonghui Wu 0001, Denghui Zhang, Lichao Sun 0001   +3 more
openaire   +2 more sources

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

CBF-LLM: Safe Control for LLM Alignment

CoRR
This paper proposes a control-based framework for aligning large language models (LLMs) by leveraging a control barrier function (CBF) to ensure user-desirable text generation. The presented framework applies the safety filter, designed based on the CBF, to the output generation of the baseline LLM, i.e., the sequence of the token, with the aim of ...
Yuya Miyaoka, Masaki Inoue
openaire   +2 more sources

A High‐Throughput Live Imaging Platform to Investigate Circuit‐Dependent Regulation of Circadian Rhythms in Brain Tissue

Advanced Science, EarlyView.
Biological rhythms coordinate physiology, from genes to behavior. Study of circadian rhythms in brain tissue is constrained by limited throughput and spatial and temporal information quality. A new platform for high‐throughput, long‐term multiplexed fluorescent live imaging of circadian rhythms in brain slices is introduced.
Marco Ferrari, Natalie Ness, Julieta Acosta, Marco Brancaccio   +3 more
wiley   +1 more source

Benchmarking LLMs via Uncertainty Quantification [PDF]

The proliferation of open-source Large Language Models (LLMs) from various institutions has highlighted the urgent need for comprehensive evaluation methods.
Pang, Jianhui, Wang, Longyue, Wong, Derek F., Shi, Shuming, Tu, Zhaopeng, Yang, Mingming, Ye, Fanghua, Yilmaz, Emine   +7 more
core   +1 more source

A multi-dimensional concept for evaluating NLP-based robots in healthcare scenarios

Current Directions in Biomedical Engineering
Background: In the past decades, robots have transformed the healthcare sector by supporting clinical staff in various tasks. Applications of range from robot-supported surgical interventions and imaging, via healthcare logistics to cleaning and social ...
Wittenberg Thomas, Kamin Stefan, Lang-Richter Nadine, Simon Martina, Assadi Galia, Niessen Cornelia, André Elisabeth, Manzeschke Arne   +7 more
doaj   +1 more source

Artificial Intelligence in Software Testing and Beyond: A Review of Current Practices and Emerging Challenges

Acta Informatica Pragensia
Background: Artificial intelligence (AI) is increasingly used both to test software (T1) and to assure AI-based systems (T2), with adjacent software-engineering work that shapes testing practice (T3).
Codrina-Victoria Lisaru, Claudiu-Vasile Kifor   +1 more
doaj   +1 more source

Electrohydraulic Folding Ring Actuators for Radially Contracting Applications

Advanced Science, EarlyView.
This work presents an Electrohydraulic Folding Ring Actuator that combines high‐performance electrohydraulic actuation with origami‐inspired folding geometry to achieve constricting radial actuation. This integration yields significant inner lumen constriction, alongside a gripping force capable of holding objects exceeding four times the actuator's ...
Gavril Yong En Tan, Quan Xiong, Jonathan William Ambrose, Zeynep Altundal, Raye Chen‐Hua Yeow   +4 more
wiley   +1 more source