This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...
Amid all the change, there remains a constant: the quality of an AI model’s outputs is only ever as good as the data that feeds it. Data management technologies and practices have also been advancing, ...
The CSE (Computer Science Engineering) and ECE (Electronics and Communication Engineering) are two popular engineering ...
The open-source AI model improves transparency in predicting how proteins interact with other molecules, which could speed up drug discovery.
The developers of OpenFold3 have released an early version of the tool, which they hope will one day perform on par with DeepMind’s protein-structure model.
Abstract: This abstract introduces a data-driven approach to managing carbon footprints in global supply chains through the integration of artificial intelligence (AI) algorithms. With the pressing ...
Abstract: In the field of international trade, due to its wide range and complex interest relations, it is necessary to synthesize various information for analysis and decision-making. However, ...
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