Agentic AI marks a monumental shift, building on Large Language Models with self-reflection and planning. These systems ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

AI’s performance advantages are tightly linked to methodological rigor and technological integration. Data preprocessing ...

Systematic Literature Review: Disease Classification Modeling Using Deep Learning Algorithms Abstract: This research focuses on models and algorithms used in studies of diseases such tuberculosis, ...

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

By combining Raman spectroscopy with deep learning algorithms, scientists can differentiate between synthetic cannabinoids ...

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 ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the long wait times many families face when seeking evaluations for autism and ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

This study proposes robust convolutional neural network (CNN)-based automatic modulation classification (AMC) techniques. Traditional AMCs may be classified into two types: those that rely on ML ...

Hyderabad - KL Deemed to be University has conferred a Doctorate degree on Ms. A. Vinisha, a research scholar from the Department of Electronics and Communication Engineering (ECE) at KLH, Aziznagar ...