Gophen, M. and Peres, M. (2026) Chill Hours Record: A Sensitive Method for Climate Change Indication. Open Journal of Modern ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
The latest iteration of the open-source EverMemOS delivers SOTA accuracy across four major memory benchmarks. By launching its Cloud API and expansive developer initiatives, EverMind is empowering the ...
Earth observation data underpin climate science, disaster response, and environmental policy, yet inconsistent grid ...
Soil erosion is a key hydro-geological hazard and a primary cause of land degradation around the world, and it is increasing due to the combined pressures ...
Abstract: Accurate prediction of human joint moments is essential for enhancing the stability, responsiveness, and control of wearable exoskeletons. Although machine learning approaches from inertial ...
A new study suggests temporal lobe epilepsy may be linked to early aging of certain brain cells. When researchers removed these aging cells in mice, seizures dropped, memory improved, and some animals ...
This computational study examines how neurons in the songbird premotor nucleus HVC might generate the precise, sparse burst sequences that drive adult song. The findings would be useful for ...
Abstract: Temporal modeling plays an important role in the effective adaption of the powerful pretrained text–image foundation model into text–video retrieval. However, existing methods often rely on ...
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