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PV Tech Premium spoke with Qiaogiang Gan at KAUST on how the cooling technology helps improve solar cell application in ...
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AZoLifeSciences on MSNscLT-kit Empowers Single-Cell Lineage Tracing with Automated AnalysisResearchers at Tsinghua University have released a novel Python toolkit, scLT-kit, which automates the processing and analysis of single-cell lineage tracing data, delivering clear insights into how ...
ConspectusPhotovoltaics (PVs) are currently the most economical and location-independent source of electricity generation, and their demand is growing rapidly as a sustainable renewable energy source.
for advanced AI analysis. Initially developed to cleanse and standardize data as a precursor to BullFrog’s trial optimization work, the technology proved so effective that it is now its own module.
This training initiative underscored the UNODC and European Union’s commitment in institutionalizing scientific approaches ...
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ManchesterWorld on MSNI'm a Manc entrepreneur and I created an AI-powered smart baby monitor to track babiesLast week Dote, the world’s first in-and-out of home integrated AI-powered smart baby monitor for the pushchair, car and home ...
A new semi-supervised audio analysis model leveraging bi-path feature extraction and attention mechanisms boosts sound event detection accuracy by 12.7% (PSDS1 0.489, PSDS2 0.771), enabling smarter ...
NASENI and NAF strengthen ties to boost Nigeria’s defense innovation with local tech, R&D, and military-industrial ...
Researchers in China used machine learning to create diagnostic and prognostic models to aid in identifying idiopathic ...
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Tech Xplore on MSNReal-time measuring method extends lifespan and enhances safety of batteriesPowerful, safe batteries are a key component in the success of electric mobility. This makes measuring a battery's capacity ...
More than half of US and EU respondents, however, say they will only use models hosted on non-Chinese infrastructure.
Martin Kratz (right) explained the advantages of laser-based manufacturing of optical components to Fraunhofer's Executive Board Member for Research and Transfer, Prof. Constantin Haefner.
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