STSSE-26 2026 - 48th LISBON International Conference on “Science, Technology, Social Sciences & Education” (STSSE-26) scheduled on Feb. 11-13, 2026 Lisbon (Portugal)

Website https://iaaes.org/conference/371 | Edit Freely

Category Science, Technology, Social Sciences & Education

Deadline: January 20, 2026 | Date: February 11, 2026-February 13, 2026

Venue/Country: lisbon, Portugal

Updated: 2025-11-25 21:19:44 (GMT+9)

Call For Papers - CFP

This track focuses on the rapid advancement and societal integration of intelligent systems.

Generative AI and Large Language Models (LLMs): Breakthroughs in foundational models, ethics of content generation, and new applications in creative fields, education, and software development.

Machine Learning (ML) Operations (MLOps): Best practices for deploying, monitoring, and managing complex ML models in production environments.

Trustworthy and Ethical AI: Topics covering AI bias mitigation, explainable AI (XAI), fairness, transparency, and regulatory frameworks for intelligent systems.

Computer Vision and Robotics: Advances in object recognition, autonomous navigation, and the integration of AI with robotics and advanced manufacturing.

Big Data Analytics and Predictive Modeling: Utilizing massive, diverse datasets for forecasting in fields like finance, epidemiology, and climate change.

⚛️ Track 2: Quantum and Advanced Computing

Exploring the next generation of computational and information-theoretic technologies.

Quantum Computing and Algorithms: Developments in quantum hardware (superconducting qubits, trapped ions), quantum error correction, and the design of algorithms for optimization and simulation.

Quantum Cryptography and Security: The shift to post-quantum cryptography (PQC) and the use of quantum key distribution (QKD) for secure communication.

Neuromorphic and Edge Computing: Designing computer architectures that mimic the human brain (neuromorphic chips) to enable highly efficient, localized processing for IoT and smart devices.

Photonic and Optical Computing: Utilizing light to perform computations faster and with less energy than traditional electronics.