International Conference on Artificial Intelligence and Machine Learning

1] Conference Introduction

In an era where data, algorithms and intelligent systems are reshaping industries and societies, the International Conference on Artificial Intelligence and Machine Learning offers a premier forum for researchers, practitioners and industry experts to engage with cutting-edge developments in AI and ML. Scheduled for 5 September 2026 in hybrid format (both in-person and online), this event organised by Mastering Up will bring together academics, engineers, data scientists, innovators and policy‐makers to explore advances in machine learning models, AI applications, ethical & societal implications, deployment in smart systems, and the future of intelligent technologies. Whether your work involves deep learning, reinforcement learning, AI for sustainability, or real‐world system integration, this conference provides a global stage to share, collaborate and ignite innovation.

2] Conference Objective

The objectives of the conference are:

• To convene a global community of AI/ML researchers, engineers, data scientists, industry professionals and policy-makers to exchange ideas and push the frontier of intelligence technologies.

• To highlight recent theoretical advances as well as practical applications of AI and ML across domains such as healthcare, manufacturing, smart systems, robotics, big data, Internet of Things, natural language processing and beyond.

• To encourage interdisciplinary collaboration between computer science, engineering, mathematics, statistics, domain sciences and application fields to accelerate next-generation AI solutions.

• To provide a platform for early-career researchers and students to present their work, receive peer feedback, build networks and gain visibility in the global AI/ML community.

• To address ethical, governance and societal aspects of AI/ML — including interpretability, fairness, trust, safety, environmental implications and human-machine synergy.

3] Conference Outcome

Participants can expect the following outcomes from the conference:

• Presentation of high-quality peer-reviewed papers, posters and demo sessions covering state-of-the-art AI/ML research and applications.

• Publication opportunities: Selected papers will be invited for publication in leading Scopus and Web of Science / SCI-indexed journals (see below) for enhanced academic recognition.

• Networking and collaboration opportunities with experts, industry partners and fellow researchers from around the world.

• Deepened understanding of emerging AI and ML paradigms — for example, generative models, reinforcement learning, federated AI, edge AI, responsible AI — and how they can be applied in real‐world contexts.

• Enhanced professional profile for participants (especially students and early-career researchers) through presentation experience, certificate of participation, and publication eligibility.

• Practical insights and take-aways for integrating AI/ML into systems, evaluating ethical impacts and designing future-ready intelligent solutions.

4] Call for Papers – List of Topics

We invite authors to submit original research papers, case studies, reviews, and application-oriented articles related (but not limited) to the following themes:

• Deep learning architectures, convolutional/neural-network innovations, generative models (GANs, VAEs)

• Reinforcement learning, multi-agent systems, simulation-based learning, autonomous systems

• Explainable AI (XAI), trustworthy AI, fairness, bias mitigation, ethical AI systems

• AI/ML for big data analytics, streaming data, real-time intelligence, edge/fog computing

• Natural Language Processing (NLP), speech recognition, multimodal learning, vision & language systems

• Federated learning, distributed ML, privacy-preserving AI, secure machine learning

• AI for smart systems: IoT, robotics, autonomous vehicles, smart cities, Industry 4.0/5.0 applications

• Hybrid intelligence, human-in-the-loop systems, human-AI collaboration, hybrid models

• Healthcare AI, bioinformatics, computational imaging, AI for sustainability and climate applications

• Quantum machine learning, neuromorphic computing, AI for next-generation computing systems

• Case studies of deployment of AI/ML in industry, manufacturing, finance, education, governance

• Emerging challenges: data quality, fairness, interpretability, robustness, adversarial machine learning

We welcome innovative, interdisciplinary contributions that push the boundaries of AI and ML research and practice.

5] About Mastering Up [EduTech Platform]

Mastering Up is a forward-looking EduTech platform committed to empowering academic and professional learners through high-quality courses, conferences, and knowledge-sharing events. With a vision to bridge academia, industry and research, Mastering Up curates subject- and sector-wise international conferences, workshops and training programmes across Science, Technology, Engineering, Management and Mathematics (STEM & M) fields. In organising this conference, Mastering Up ensures a seamless hybrid experience, peer-reviewed proceedings, global reach, and active networking opportunities. By bringing together experts, innovators and learners, we aim to catalyse collaboration, accelerate impactful research and develop future-ready professionals.

6] Important Dates (Estimated)

• Last date for Abstract Submission: 10 July 2026

• Notification of Abstract Acceptance: 25 July 2026

• Registration Date without Late Fee: 10 August 2026

• Registration Date with Late Fee: 25 August 2026

• Conference Date: 5 September 2026

Note: Exact dates subject to final confirmation by the Organising Committee.

7] Registration Fees

Participants are requested to register their names through the conference website. Registrations are accepted on first come, first serve basis.
Registration fee for each participant:

• Foreign Delegates: US $ 100

• Indian Delegates:

  • Students/Scholars: ₹1,000 (Late Fee: ₹1,500)

  • Faculty: ₹2,000 (Late Fee: ₹2,500)

  • Industry/Scientists: ₹3,000 (Late Fee: ₹3,500)

Participation and registration entitle you to access all conference sessions (virtual + in-person where applicable), conference materials, certificate of participation, and eligibility for paper publication (for accepted full-papers).

8] Publication

Selected papers from the conference will be invited for publication in reputable Scopus and Web of Science / SCI indexed journals depending on their terms. The following are five suitable journals for consideration:

Authors are encouraged to review each journal’s specific author guidelines, indexing status, publication charges (if any), and scope before submission. Final publication depends on acceptance by the chosen journal and compliance with their terms.

9] Contact & Registration

• Email: contact@masteringup.com

• Registration Link: https://rzp.io/rzp/muconference

We look forward to your participation in the conference and to your valuable contributions that will help drive the next wave of innovation in artificial intelligence and machine learning.