JAST
The "Journal of Emerging Trends in Artificial Intelligence and Machine Learning (JET-AIML)" is a peer-reviewed, open-access journal that focuses on the latest advancements, research, and innovations in Artificial Intelligence (AI) and Machine Learning (ML). The journal aims to provide a global platform for researchers, academicians, and industry professionals to share insights, methodologies, and breakthrough discoveries in the AI and ML domain.
We welcome high-quality research articles, review papers, and case studies in areas including but not limited to:
✅ Deep Learning & Neural Networks
✅ Natural Language Processing (NLP) & Speech Recognition
✅ Computer Vision & Image Processing
✅ Reinforcement Learning & AI in Robotics
✅ AI Ethics, Bias, and Responsible AI
✅ AI Applications in Healthcare, Finance, and Security
✅ Big Data Analytics & Predictive Modeling
✅ Edge AI & Federated Learning
✔ Rigorous Peer Review – Ensures high-quality and original research
✔ Open Access – Maximizes visibility and impact worldwide
✔ Fast Publication Process – Timely reviews and publication
✔ Global Recognition – Indexed in reputed academic databases