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3rd International Conference on Artificial Intelligence,
Machine Learning and Technology (ICAIMLT-2025) Hybrid Mode

Name: International Conference on Artificial Intelligence, Machine Learning and Technology
Start: 2024-11-02T09:00
End: 2024-11-02T18:00
Location: Daiwa Roynet Hotel Nishi-Shinjuku Premier

Tokyo , Japan

Organized by : SciencePlus Global Research Forum
In collaboration with: Japanese Society for Academic Research and Publication(JSARP)

Paper Submission Paper Submission

Listener Registration Listener Registration

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Conference Date

7^th& 8^th July,2025

Conference Venue

Tokyo,Japan

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Academic Partners

Japanese Society for Academic Research
and Publication (JSARP)

IRAJ Internatonal

SciencePlus

BigData Research Fourm

ITR Group

WELCOME TO ICAIMLT-2025 Tokyo,Japan

Welcome to the 3rd International Conference on Artificial Intelligence, Machine Learning and Technology (ICAIMLT-2025)Taking place in vibrant Tokyo, Japan on 7th & 8th July 2025, it’s a place where Science, Education, and Technology combine for global progress! You can think of it as a place where groundbreaking scientific discoveries spark transformative ideas, leading to innovative technologies that propel humanity forward.

PURPOSE OF ICAIMLT-2025

The primary purpose of the 3rd International Conference on Artificial Intelligence, Machine Learning and Technology(ICAIMLT-2025) scheduled on 7th & 8th July 2025 in Tokyo,Japan is to provide a collaborative platform for global AI and Machine Learning Researchers . This conference aims to facilitate the exchange of innovative research, methodologies, and practices across various Artificial Intelligence, Machine Learning disciplines. ICAIMLT-2025 seeks to encourage dialogue, foster interdisciplinary connections, address contemporary educational challenges, explore emerging trends,and showcase effective strategies, ultimately aiming to advance Artificial Intelligence, Machine Learning and Technology disciplines.

ICAIMLT 2025 Fostering SDG Synergy

Important Dates

Abstract submission Deadline
Date

19^th June 2025

Full paper Submission Deadline
Date

22^nd June 2025

Registration deadline
Date

24^th June 2025

Objective of the ICAIMLT-2025

The primary objective of the ICAIMLT-2025 on 7th & 8th July2025 at Tokyo,Japan is to create a vibrant platform for global scholars, researchers, and educators. The conference aims to facilitate the exchange of cutting-edge research across various Computer Science,Artificial Intelligence and Machine Learning dicipline. ICAIMLT-2025 seeks to encourage collaboration, foster interdisciplinary discussions, and showcase innovative methodologies, ultimately aiming to AI and ML practices worldwide.

In addition to fostering research exchange and interdisciplinary collaboration, ICAIMLT-2025 aims to address contemporary challenges in AI and Machine learning education. The conference endeavours to explore emerging trends and innovative approaches that can effectively tackle these challenges. By providing a space for insightful discussions and presentations, ICAIMLT-2025 seeks to empower attendees with practical insights and solutions, encouraging the implementation of impactful strategies in educational settings globally. Through this, the conference aspires to contribute to the continuous improvement and evolution of AI and ML research and practices.

Venue

Daiwa Roynet Hotel Nishi-Shinjuku Premier
Address: 6 Chome-12-39 Nishishinjuku, Shinjuku City, Tokyo 160-0023, Japan

Our Speakers

Ms. Priyanka Majumdar

Assistant Professor, Department of Law, Gauhati University, India

Dr Suresh Palarimath

Assistant Professor University of Technology and Applied Sciences Salalah, Dhofar Governorate, Oman

Dr. Suma Parahakaran

INTI International University (Malaysia), Visiting Professor (AUSN, USA)

Dr. Madan Mohan Tito Ayyalasomayajula

Senior Technology Architect, Doctorate in Computer Science, Aspen University, USA

Proceedings & Publications

Note : ICAIMLT-2025 proceedings series will be submitted to the Web of Science Book Citation Index (BkCI) and to SCOPUS for evaluation and indexing (T&C)*.