We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Image courtesy by QUE.com Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

Apple continues to focus on AI-powered image modification, with new studies detailing evaluation frameworks and an AI model ...

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

In contrast to machine learning (ML), machine unlearning is the process of removing certain data or influences from models as ...

The AI Annotation Market is growing rapidly as demand rises for high-quality labeled data across computer vision and NLP use cases, with the U.S. segment expanding from USD 0.66 billion in 2025E to ...

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...

Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, ...