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

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

XRM microscopy, combined with machine learning, revolutionizes materials research by enhancing imaging techniques for failure ...

Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce ...

Researchers have developed a new formula to allow urban farmers to design their own "light recipe"—a combination of different ...

The system involves two key components. CRISPR RNA is a molecule that guides the system to the specific DNA sequence that ...

Agriculture faces global challenges such as climate change, resource degradation and biodiversity loss, threatening long-term ...

A deep learning project that generates descriptive captions for images using VGG16 for feature extraction and an LSTM-based RNN for sequence generation, with an interactive Streamlit web app for ...

Plant pests and diseases are responsible for major global crop losses, posing serious threats to food security and sustainable agriculture. Traditional ...

Machine learning (ML) algorithms are widely utilized for processing hyperspectral data in tasks such as image classification or segmentation. Despite the rich hyperspectral feature space, ML-based ...