The tiny Hierarchical Reasoning Model mimics the brain's structure to solve complex tasks in a single pass — no ...

Students are increasingly turning to ChatGPT and other generative AI tools for help with homework and other learning ...

We spoke with endocrinologists to explore the potential of artificial intelligence in the management of chronic disease, including diabetes, obesity, and PCOS.

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

From refining model architectures to streamlining data pipelines and upgrading hardware, practical strategies can boost AI ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

This article explores the use of Support Vector Machines (SVM) for diagnosing diabetes based on fourteen medical and behavioral variables. Following a theoretical overview of diabetes and SVM, a ...

To address this issue, this study proposes a machine-learning (ML)-based intrusion detection framework tailored specifically for SDN. In particular, the framework utilizes a hybrid model that combines ...

Abstract This article explores the use of Support Vector Machines (SVM) for diagnosing diabetes based on fourteen medical and behavioral variables. Following a theoretical overview of diabetes and SVM ...

Rural hospital leaders are questioning whether they can continue to afford to do business with Medicare Advantage (MA) companies, and some say the only way to maintain services and protect ...