MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

In 2023, the website then known as Twitter partially open sourced its algorithm for the first time. In those days, Tesla ...

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

TensorFlow is an open-source machine learning framework built by Google, and this 100-second video explains how it works from the ground up. You’ll learn how TensorFlow handles tensors, builds ...

Abstract: Feature representation is a key factor in machine learning-based malware detection, affecting the information expressed and used for detection, the choice of the classifier, and ...

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...

In modern drug discovery, generative molecular design models have greatly expanded the chemical space available to researchers, enabling rapid exploration of new compounds. Yet, a major challenge ...

ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...

Introduction: Adolescent suicide is a critical public health concern worldwide, necessitating effective methods for early detection of high suicidal ideation. Traditional detection methods, such as ...