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Hybrid Event

23rd - 24th September 2026 | New York, USA

International Conference on Applied Mathematics for Machine Learning and AI (ICAMMLAI - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICAMMLAI) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Mathematics, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Mathematics in machine learning applications
02
Statistical methods for AI development
03
Algorithms for machine learning optimization
04
Mathematical foundations of AI techniques
05
Data analysis using applied mathematics
06
Modeling uncertainty in machine learning
07
Mathematical modeling of neural networks
08
Applications of linear algebra in AI
09
Machine learning algorithms in practice
10
Mathematical techniques for big data
11
Optimization methods in machine learning
12
Mathematical modeling in robotics
13
Applications of calculus in AI
14
Mathematical approaches to deep learning
15
Statistical learning theory applications
16
Mathematics for natural language processing
17
Recent trends in AI and mathematics
18
Interdisciplinary approaches to AI development
19
Mathematical models for predictive analytics
20
Challenges in mathematics for AI

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.