About USJAI
UpSkill Scholarly Journal of Applied Intelligence – Advancing the frontiers of artificial intelligence research.
UpSkill Scholarly Journal of Applied Intelligence – Advancing the frontiers of artificial intelligence research.
The UpSkill Scholarly of Applied Intelligence (USJAI) is dedicated to advancing research in artificial intelligence, machine learning, predictive analytics, and intelligent systems through rigorous peer-reviewed publications. We serve as a premier platform for researchers, practitioners, and academics to share cutting-edge research, innovative methodologies, and practical applications that drive the field forward.
Our distinguished editorial board ensures the highest standards of academic excellence
Affiliation
Stanford University, Department of Computer Science
Expertise
Machine Learning, Deep Learning, Neural Networks
Affiliation
MIT, Computer Science and Artificial Intelligence Laboratory
Expertise
Natural Language Processing, Computational Linguistics
Affiliation
Carnegie Mellon University, Machine Learning Department
Expertise
Computer Vision, Robotics, Autonomous Systems
Affiliation
Google Research, AI Ethics Team
Expertise
AI Ethics, Fairness in Machine Learning
Affiliation
University of California Berkeley, EECS Department
Expertise
Predictive Analytics, Data Mining, Statistical Learning
Affiliation
Microsoft Research, Applied AI Lab
Expertise
Applied AI, Intelligent Systems, Industry Applications
Ethical Commitment: USJAI adheres to the highest standards of publication ethics as outlined by the Committee on Publication Ethics (COPE). We are committed to maintaining the integrity of the scholarly record and providing a fair, transparent publication process.
Copyright © 2021 - 2025 UpSkill Journal.