Shlomo Mark
Papers
1
Total Citations
15
H-Index
1
About
Shlomo Mark is a forward-thinking researcher whose work sits at the intersection of artificial intelligence, machine learning, and deep learning, with a strong emphasis on practical, real-world applications. His most cited paper, "Artificial Intelligence, Machine Learning and Deep Learning (Literature: Review and Metrics)" (2022), has already garnered 15 citations, reflecting the timely and foundational nature of his contributions. In this work, Mark provides a comprehensive review of AI’s exponential growth across disciplines, highlighting how business corporates are racing to develop AI-driven products and services—from humanoid robots like Sophia to supply chain logistics drones. His research not only synthesizes the state of the art but also establishes key metrics for evaluating AI performance, making it a valuable resource for both academics and industry practitioners. Mark’s ability to bridge theoretical advances with tangible innovations underscores his impact in shaping how AI is understood and deployed. For students and researchers exploring the frontiers of intelligent systems, his work offers a clear roadmap of where the field has been and where it is headed.
Research Focus
Key Achievements
Top Papers
- 1