Abstract: Traffic data contains deep domain-specific knowledge, making labeling challenging, and the lack of labeled data adversely impacts the accuracy of learning-based traffic analysis. The ...
Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...
Reliable predictions of how the Earth's climate will respond as atmospheric carbon dioxide levels increase are based on ...
JPMorgan Asset Management is now the world’s largest issuer of actively managed exchange-traded funds, controlling nearly ...
The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...
As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can ...
Baidu's ERNIE-5.0-0110 ranks #8 globally on LMArena, becoming the only Chinese model in the top 10 while outperforming ...
Abstract: Fractional vegetation cover (FVC) is a crucial parameter in ecological and environmental monitoring. Most existing FVC estimation studies rely on optical remote sensing data, which are ...
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
With the rapid advancement of multi-dimensional detection technologies including hyperspectral imaging and polarization ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
Cambridge, Massachusetts, January 14, 2025 - Insilico Medicine (“Insilico”, HKEX:03696), a clinical-stage biotechnology company driven by generative artificial intelligence (AI), today announced the ...
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