Muhammad Talal Bin Tariq (MTBT) is a Data Science Researcher specializing in end to end projects from Data Mining and ETL to building and deploying Deep Learning models for Natural Language Processing and Deep Learning research, exploring the latest trends and techniques for Generative AI in machine learning, deep learning, and reinforcement learning, implementing state-of-the-art algorithms for NLG, NLU and smart autonomous multi-agent systems. Talal's current work involves Multimodal Generative AI combining different modalities such as text, speech, image, video and gestures to create intelligent Artificial Intelligence systems and NeuroSymbolic AI, which integrates symbolic and sub-symbolic approaches to develop more robust and explainable systems for Computational Storytelling and Automated Trading. With these paradigms and technologies, he is building the next generation of Artificial Intelligence, AGI. Aside from that, Talal aspires to become a polymath and a wordsmith, and enjoys learning new things and expressing his ideas through writing.Talal is an expert in storytelling and building Storytelling systems with Artificial Intelligence. He is interested in the intersection of the following subjects. Mathematics, Probability, Statistics, Quantitative Finance, Computational Linguistics , Computational Neuroscience, Cognitive Computation, Financial Modelling, Computational Storytelling, Complex Dynammical Systems, Machine Learning, Deep Learning, Reinforcement Learning, Multi Modal AI, Neuro Symbolic AI, Multi Agent Systems, Game Theory, Philosophy, Linguistics, Analytical Psychology, Metaphysics, Ontology, Logic and Epistemology. The question that keeps him awake at night is the debate between rationalism and empiricism. The guerilla war between Top-Down Deductive systems and Bottom-up Inductive Systems. The metaphysical war between the law of the excluded middle and the law of the included middle. The brawl of reductionism vs holism. Talal is looking to connect with researchers who are eager to collaborate in the following and related domains:1. Neuro Symbolic AI 2. Deep Reinforcement Learning 3. Machine Learning and Learning Theory4. Multi-Modal AI 5. Computational Storytelling 6. Multi-Agent Systems 7. Cognitive Neuroscience8. Philosophy of AI and Cognition9. Role of Storytelling in Financial Modelling10. Category Theory11. Complex Dynamical Systems 12. Cognitive Architectures for AI13. Graph Theory 14. Knowledge Representation Have a Business Problem? There's a data driven solution!Book a free session with Talal!