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4th International Conference on Artificial Intelligence,
Machine Learning and Technology (ICAIMLT-2026) Hybrid Mode

Name: International Conference on Artificial Intelligence, Machine Learning and Technology
Start: 2025-11-02T09:00
End: 2025-11-02T18:00
Location: Daiwa Roynet Hotel Nishi-Shinjuku Premier

Tokyo , Japan

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

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Conference Date

7^th& 8^th Feb,2026

Conference Venue

Tokyo,Japan

Call:(+91)8763630137

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Academic Partners

Japanese Society for Academic Research
and Publication (JSARP)

IRAJ Internatonal

SciencePlus

BigData Research Fourm

ITR Group

13 CPD CREDIT HOURS Your Certificate On Completion

WELCOME TO ICAIMLT-2026 Tokyo, Japan

Welcome to the 4th International Conference on Artificial Intelligence, Machine Learning and Technology (ICAIMLT-2026)Taking place in vibrant Tokyo, Japan on 7th & 8th Feb 2026. ICAIMLT-2026 serves as a global platform where science, education, and technology converge to drive innovation and progress. This premier event brings together leading researchers, scientists, educators, industry experts, and technologists to share insights, discoveries, and solutions at the cutting edge of AI, machine learning, and emerging technologies.

Think of ICAIMLT-2026 as more than just a conference—it's a collaborative space where groundbreaking research meets transformative ideas, leading to the development of innovative tools and applications that shape the future and propel humanity forward. Join us for inspiring keynotes, technical sessions, and dynamic discussions that will redefine what's possible in the world of intelligent technologies.

PURPOSE OF 4th ICAIMLT-2026

The 4th International Conference on Artificial Intelligence, Machine Learning and Technology (ICAIMLT-2026), scheduled for 7th–8th Feb 2026 in Tokyo, Japan, aims to serve as a premier global platform for collaboration among AI and Machine Learning researchers, technologists, and academicians.

The primary purpose of ICAIMLT-2026 is to facilitate the exchange of groundbreaking research, advanced methodologies, and innovative practices within the disciplines of Artificial Intelligence, Machine Learning, and emerging technologies. This conference promotes cross-disciplinary dialogue and collaboration, connecting researchers from academia, industry, and policy-making sectors. 4th ICAIMLT-2026 strives to advance global understanding and application of AI, ML, and related technologies, contributing to technological progress and societal impact.

ICAIMLT 2026 Fostering SDG Synergy

Important Dates

Early bard
Date

15^th Dec 2025

Abstract submission Deadline
Date

11^th Jan 2026

Full paper Submission Deadline
Date

12^th Jan 2026

Registration deadline
Date

15^th Jan 2026

Objective of the 4th ICAIMLT-2026

The primary objective of the 4th International Conference on Artificial Intelligence, Machine Learning and Technology (ICAIMLT-2026), scheduled for 7th–8th Feb 2026 in Tokyo, Japan is to establish a dynamic and collaborative platform for global scholars, researchers, educators, and professionals working across the fields of Computer Science, Artificial Intelligence, and Machine Learning.

In addition, the conference aims to explore contemporary challenges in AI and ML education, research scalability, and responsible deployment. By offering a platform for engaging presentations, technical sessions, and collaborative dialogue, ICAIMLT-2026 empowers participants with practical insights and forward-looking strategies. Ultimately, ICAIMLT-2026 aspires to contribute to the global advancement of AI and ML research and practice, supporting the development of ethical, scalable, and transformative technologies that benefit both industry and society.

Participate in ICAIMLT-2026 & Get Published in Scopus-Indexed Journals

We are proud to offer an exceptional opportunity for authors. Selected high-quality papers presented during the conference will be processed for publication in Scopus-indexed journals. This ensures that your research receives global visibility and academic recognition through one of the most respected indexing platforms.

Proof of Scopus Indexing

Our partner journals have been officially indexed in Scopus. Below are some of the Scopus journals where we have recently published selected papers with Title from our past conferences :

Journal Name: Journal of Infrastructure, Policy and Development

Paper Title: Beyond ethics: How perceived organizational support amplifies the impact of ethical HRM on employee commitment and performance

Journal Name: journal of Environmental Assessment Policy and Management

Paper Title: Nexus Between Strategic Green Finance and Green Competitive Advantage: Study at Indonesia Corporate

Journal Name: International Journal of Energy Economics and Policy,

Paper Title:Interlinkages of Fiscal Decentralization, Financial Development, and Carbon Emissions: The Underlying Significance of Natural Resources

Journal Name: International Journal of Construction Supply Chain Management IJCSCM

Paper Title: Impact of Supply Chain Complexity on Supply Chain Performance: Moderating Role of Information Technology Infrastructure

Journal Name: Corporate and Business Strategy Review

Paper Title:The structure of the illegal economy and its relationship to money laundering

Join us at ICAIMLT-2026 and seize this opportunity to have your work published in prestigious Scopus-indexed journals!

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

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Proceedings & Publications

Note : ICAIMLT-2026 proceedings series will be submitted to the Web of Science Book Citation Index (BkCI) and to SCOPUS for evaluation and indexing (T&C)*.