Abstract: Machine learning methods using aerial imagery (satellite and unmanned-aerial-vehicles-based imagery) have been extensively used for crop classification. Traditionally, per-pixel-based, ...

Abstract: Learning from a limited number of labeled samples (pixels) remains a key challenge in the hyperspectral image (HSI) classification. To address this issue, we propose a deep metric ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

Catalyst is a PyTorch framework for Deep Learning Research and Development. It focuses on reproducibility, rapid experimentation, and codebase reuse so you can create something new rather than write ...

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...

Eight-month live online programme by CEC, IIT Roorkee equips professionals to build applied expertise across Python, machine learning, deep learning, MLOps, LLMs and Generative AI ...

Cut through AI jargon with this practical AI glossary. Learn essential AI terms like LLMs, hallucination, tokens, and more in plain English. Understand AI confidently.

New AI model, BehaVERT, reads mouse behavior like language, revealing patterns that could improve research into human ...

Chinese Scientists Use Digital Twins to Streamline AI Training on Light-Based Systems ...

Katha Room hosts more than 250 stories across five languages and has notched over 10,000 downloads on iOS and Android combined, while being bootstrapped. Katha Room addresses the decline of ...