Results 91 to 100 of about 1,237,294 (306)
Objective Patient‐reported outcome measures (PROMs) are central to assessing symptom burden and treatment response in Osteoarthritis (OA) but are often embedded in unstructured clinical notes. We evaluated whether prompt‐engineered large language models (LLMs) could accurately extract or infer pain scores on a 0‐10 scale from routine OA clinical ...
Jainesh Doshi +7 more
wiley +1 more source
INTELLIGENT AUTOMATION IN SUPPLY CHAIN OPTIMIZATION
Intelligent automation (IA) is transforming supply chain management by integrating advanced technologies such as artificial intelligence (AI), machine learning (ML), robotics, and the Internet of Things (IoT).
Albert Gomes +2 more
semanticscholar +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Research progress of automation and digitalization in brewing process of Baijiu [PDF]
Baijiu is a unique distilled spirit in China. Its complex and distinctive brewing process has given rise to different style characteristics. Against the backdrop of industrial intelligence, traditional Baijiu brewing is also confronted with both ...
YU Zihan, LI Qingliang, LU Yanxiang, LI Jianxun, ZHANG Jing, ZHOU Die, REN Xintong, FEI Wangwang, CHEN Peng
doaj +1 more source
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad +8 more
wiley +1 more source
Governing Automated Strategic Intelligence
Military and economic strategic competitiveness between nation-states will increasingly be defined by the capability and cost of their frontier artificial intelligence models. Among the first areas of geopolitical advantage granted by such systems will be in automating military intelligence.
Nicholas Kruus +26 more
openaire +2 more sources
Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand +13 more
wiley +1 more source
Bio‐Inspired Artificial Ionic Mechanoreceptor
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari +4 more
wiley +1 more source
This work presents a closed‐loop optimization workflow integrating CatBot, an automated synthesis and testing system, to discover NiMo hydrogen‐evolution catalysts. CatBot synthesised and evaluated 228 unique samples, identifying the best performing catalysts for transfer to nickel‐foam electrodes. The best candidate is highly active, reaching 1 Acm−2${
Paolo Vincenzo Freiesleben de Blasio +7 more
wiley +1 more source
Key Technical Fields and Future Outlooks of Space Manipulators: A Survey
With the increasing complexity and diversity of space missions, space manipulators have become essential tools for critical space operations such as transportation, assembly, and maintenance in orbit.
Gang Chen +12 more
doaj +1 more source

