Abstract: Atmospheric pollutants, such as haze, severely affect the quality of remote sensing images, leading to blurred details and impairing their effectiveness in applications like environmental ...

Ouroboros is an unified framework that seamlessly integrates representation learning with molecular generation and therefore allows efficient chemical space exploration through pre-trained molecular ...

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

Abstract: This paper focuses on the fault-tolerant consensus problem of multi-agent systems under an encoding-decoding framework with Markovian switching topologies. Due to the influence of complex ...

ABSTRACT: Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of ...

But they say a lack of empirical data and other flaws in the NEPTUNE model raise concerns that "temper our enthusiasm for the model and our confidence that it can provide a comprehensive explanation ...