Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

Overview AI in soil health analysis enables faster, more accurate assessment of soil conditions using data from sensors, ...

A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.

Impact of AI on productivity is apparent but is still relatively small compared to the considerable investments in the ...

Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

MicroCloud Hologram Inc. , ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This achievement proposes a ...