In recent times, Artificial Intelligence (AI) and Machine learning (ML) have gained prevalence in the world of technology andlearning such that they are projected to be the game-changers of the coming decade. In the wake of the fourth industrial revolution, governments and businesses across the globe are also beginning to realize the seismic shift towards AI and ML. Leading software companies such as Oracle, Salesforce, and SAP are even embedding machine learning into their apps. Alongside the dominance of the technology giants Amazon, Google, and Microsoft, are major Asian global forces such as Alibaba and Baidu, and a plethora of AI-related startup companies have ambitions to become the next AI leaders.
The Kingdom of Saudi Arabia Vision 2030 realizes the importance of AI and ML in the future of the nation, and its National Digitization Unit (NDU) is striving towards recognizing the Kingdom as a new tech hub for the modern Arab world.
The 16th International Learning and Technology (L&T 2019) Conference is a unique opportunity for researchers, entrepreneurs, technology developers and policy makers to address current challenges and advances in the field of AI & ML. Specifically, it will examine the modern practices and potential of AI & ML and the way it affects the digital transformation, innovation, and social, economic and educational developments, both locally and globally. The conference will feature keynote presentations, thought-provoking paper presentations, workshop sessions and stimulating panel discussions covering the latest developments in the AI & ML ecosystem.
Join us and explore new collaboration opportunities, cultivate your social and knowledge networks, and compliment your core experience!
Program Manager: Dr. Wadee Halabi, Effat University, Jeddah KSA
Program Chair: Dr. Zain Balfagih, Effat University, Jeddah, KSA
Program Co-Chair: Dr. Tayeb Brahimi, Effat University, Jeddah, KSA
Conference topics may include, but are not limited to the following:
Artificial Neural Networks Bayesian Networks Bioinformatics Cognitive Science Data Mining DNA Computing and Quantum Computing Computational Theories of Learning; Computing and the Mind Natural Language Processing Neuroinformatics Robotics Reasoning and Evolution Philosophy and Artificial Intelligence Pervasive Computing and Ambient Intelligence Non-classical Computing and Novel Computing Models Evolutionary Inspired Computing Foundations of Artificial Intelligence Fuzzy Logic and Methods Multi-Agent Systems Knowledge representation; Knowledge-based Systems |
Intelligent System Architectures; Intelligent Web Parallel Processing; Pattern Recognition; Programming Languages Intelligent User Interfaces Planning and Scheduling Uncertainty in AI Model-Based Reasoning Ontologies Data Science Constraint Satisfaction State Space Search Case-Based Reasoning Cognitive Systems Intelligence and Cybersecurity Vision and Perception Pattern Recognition Ambient Intelligence AI and Creativity Evolutionary Computing Industrial applications of AI Hybrid Intelligent Systems Visualization Deep Learning |
Jan 30
2019
Jan 31
2019
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