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.
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Conference Program
Session Tracks
Aligned with
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
Why it matters
SDG 4 — Quality Education
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
Explore
All Session Tracks
Track 01
Foundations of Mathematical Modeling in AI
This track focuses on the theoretical underpinnings of mathematical modeling as applied to artificial intelligence. It aims to explore the mathematical principles that drive the development of intelligent systems.
Track 02
Machine Learning Algorithms and Mathematical Techniques
This session will delve into the integration of mathematical techniques with machine learning algorithms. Participants are encouraged to present innovative approaches that enhance the performance and interpretability of these algorithms.
Track 03
Neural Networks: Mathematical Perspectives
This track examines the mathematical foundations of neural networks, including their architecture and training methodologies. It seeks contributions that highlight novel mathematical insights into neural network design and optimization.
Track 04
Simulation Techniques in Intelligent Systems
This session emphasizes the role of simulation in the development and evaluation of intelligent systems. Papers that present new simulation methodologies or case studies demonstrating their application are particularly welcome.
Track 05
Fuzzy Logic and Its Applications in AI
This track explores the application of fuzzy logic in artificial intelligence, focusing on its mathematical formulation and practical implementations. Contributions that demonstrate the effectiveness of fuzzy logic in real-world AI scenarios are encouraged.
Track 06
Applied Mathematics in AI Development
This session highlights the role of applied mathematics in the advancement of artificial intelligence technologies. Papers that showcase real-world applications of mathematical methods in AI are particularly sought after.
Track 07
Deep Learning: Mathematical Models and Frameworks
This track investigates the mathematical models that underpin deep learning frameworks. Submissions that propose new mathematical approaches to improve deep learning performance are highly encouraged.
Track 08
Optimization Techniques for AI Systems
This session focuses on optimization methods that enhance the efficiency and effectiveness of AI systems. Contributions that present novel optimization algorithms or applications in AI contexts are welcome.
Track 09
Computational Models in Data-Driven AI
This track examines the role of computational models in the development of data-driven artificial intelligence. Papers that illustrate the interplay between computational modeling and AI applications are encouraged.
Track 10
Knowledge Representation in Intelligent Systems
This session explores mathematical approaches to knowledge representation in intelligent systems. Contributions that address challenges and advancements in this area are particularly valued.
Track 11
Predictive Analytics: Mathematical Insights and Innovations
This track focuses on the mathematical foundations of predictive analytics within the context of artificial intelligence. Papers that present innovative mathematical models for predictive analytics applications are encouraged.