An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...
AI and ML are the driving forces behind various industries across the globe. The Professional Certificate course of Purdue ...
Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...
Abstract: The Space-Air-Ground Integrated Network (SAGIN) offers a promising solution for seamless connectivity, high data rates, and wide-area coverage. However, its multi-segment architecture poses ...
Highlights Network engineers are increasingly adopting Python libraries to automate device management, configuration, and monitoring.Tools like Nornir, Netmiko, ...
Abstract: Deep learning has significantly propelled the development of photometric stereo by handling the challenges posed by unknown reflectance and global illumination effects. However, how ...
Artificial intelligence and machine learning are reshaping how investors build and maintain portfolios. These tools bring ...
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