The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...

In this academy, you’ll explore how data scientists analyze real-world data to uncover meaningful insights. Through hands-on projects, you’ll learn the fundamentals of data analysis and machine ...

Abstract: With the rising adoption of deep neural networks (DNNs) for commercial and high-stakes applications that process sensitive user data and make critical decisions, security concerns are ...

College of Computer Science and Engineering, University of Ha’il, Ha’il, Saudi Arabia Background and motivation: The Michaelis constant Km is one of the key kinetic parameters in the quantification of ...