From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

Agentic AI marks a monumental shift, building on Large Language Models with self-reflection and planning. These systems understand, learn, and proactively execute tasks, blurring the line between tool ...

IoT-based sensors, when deployed within biofloc tanks, can continuously track critical parameters such as dissolved oxygen ...

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.

AI search tools are on the rise, but SEO fundamentals remain critical. Learn how the two intersect and what it means for your ...

Innovative gas sensors paired with machine learning analyze microbial VOCs, providing a cost-effective solution for rapid ...

This article explains what compute-in-memory (CIM) technology is and how it works. We will examine how current ...

Since the 1940s, the meaning of the term 'artificial intelligence' has evolved significantly, as its applications have ...

IGIS Tech Notes describe workflows and techniques for using geospatial science and technologies in research and extension. They are works in progress, and we welcome feedback and comments below.

In this modern era, Vamsi Praveen Karanam, a researcher in the field of distributed systems and cloud-native computing, presents a thoughtful exploration into t ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...