As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
Omni NDE cobots, X-ray end effectors and Voxray’s reconstruction approach enables 5-micron inspection of aerospace parts ...
Artificial intelligence is increasingly being explored as a way to bring greater structure, consistency, and objectivity to ...
The medical holography market is projected to grow at a robust CAGR of approximately 29% through 2029. This growth is driven ...
In a critical advance for climate resilience, researchers from The Hong Kong University of Science and Technology (HKUST) have developed an AI model that can predict dangerous convective ...
For the better part of two decades, the objective of digital marketing was straightforward: secure the top spot on Google, ...
For many decades, the method to obtain atomic-level descriptions of chemical compounds and materials—be it a drug, a catalyst ...
Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
AlphaGenome is a leap forward in the ability to study the human blueprint. But the fine workings of our DNA are still largely ...
A player's true worth in any coalition is the average marginal contribution across all possible group combinations” Lloyd S.
A paper published in Biology Methods and Protocols, indicates that a new computational method may help researchers identify ...
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