The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

In an age where artificial intelligence (AI) is no longer a futuristic concept but a present-day reality, the role of ...

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

This study presents a machine learning-enhanced framework for the detection, decoding, and localization of chipless RFID tags using cost-efficient Ultra-Wideband Impulse Radio (UWB-IR) readers. By ...

Machine learning, a key component of artificial intelligence, has gained increasing attention for its ability to integrate multiomics data and robustly extract critical features. (25) In this study, ...