Results 141 to 150 of about 180,976 (265)
Artificial intelligence assimilation shapes sustainable performance through dynamic capabilities. [PDF]
Zhang M, Dong W.
europepmc +1 more source
Optimizing AI Algorithms for Green AI: A Literature Review
The escalating carbon footprint of artificial intelligence (AI) models presents a significant environmental concern, primarily because of the increasing need for large-scale and computationally intensive systems. Therefore, based on efforts to minimize the carbon footprint of AI models, this paper reviews key strategies within the emerging field of ...
openaire +4 more sources
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling +15 more
wiley +1 more source
Postbuild annealing systematically modifies the phase fractions and morphology of EB‐PBF processed Mo–9Si–8B. Quantitative microstructure–property correlations reveal how controlled phase evolution enhances high‐temperature compressive strength and creep resistance.
Christopher Schmidt +5 more
wiley +1 more source
Data-efficient image transformer for landscape character classification and visual comfort prediction in Chinese hospitals. [PDF]
Li Y, Yue G, Mundher R, Abdulghani AM.
europepmc +1 more source
Geometrical modifications on nitrocellulose membranes can result in observable differences in signal intensity relative to a reference membrane (top and bottom left). Using two reference experiments, we have developed a theoretical model that can reproduce the experimentally observed flow changes and provide information on membrane parameters, e.g ...
Maria Dimaki +2 more
wiley +1 more source
Artificial intelligence-based digital transformation and environmental sustainability. [PDF]
Wu D, Zhang Y, Zhao L.
europepmc +1 more source
Green AI techniques for reducing energy consumption in AI systems
Sunawar Khan +6 more
openaire +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Strategies for mitigating artificial intelligence bias in healthcare: a systematic review. [PDF]
Gadhoumi K +12 more
europepmc +1 more source

