Advancement in AI Revolutionizes Industry and Accelerates Research

The presentation titled "Advancement in AI Revolutionizes Industry and Accelerates Research" offers a comprehensive and forward-looking exploration of how artificial intelligence is transforming sectors and accelerating innovation. Beginning with a historical lens — from the early promises of AI to the setbacks of the "AI winters" — the talk highlights how breakthroughs in deep learning have reignited progress, leading to the rise of Generative AI and Large Language Models (LLMs) like ChatGPT. These models, capable of not just predicting but generating human like content, are demystified through an explanation of embeddings, fine-tuning, and how they can be adapted for real-world applications. The presentation introduces the concept of AI Agents — intelligent systems powered by LLMs and Large Vision Models (LVMs) — that are not only reactive but also able to reason, plan, and act autonomously in complex environments. These agents, when deployed on the cloud, are revolutionizing operations such as livestock monitoring, asset tracking on tall structures, semiconductor defect detection, and AI-driven conversational interfaces. Central to enabling this intelligence is the Model Context Protocol (MCP), a robust framework for grounding and governing model behavior in multi-agent systems, ensuring that agents remain context-aware, goal-driven, and aligned with operational rules and ethical considerations. Whether in industrial automation, education, customer service, or healthcare, this synergy between LLMs, LVMs, MCP, and cloud infrastructure marks a paradigm shift — one that not only boosts productivity but redefines human-AI collaboration through context rich, multimodal, and dynamic interaction.

Biography

Assoc. Prof. Ts. Dr. Mohd Ibrahim Bin Shapiai @ Abd. Razak is a distinguished expert in Artificial Intelligence, specializing in Generative AI, Deep Learning, Machine Learning, Brain-Computer Interface, and Computer Vision. He is currently the Director of the Centre for Artificial Intelligence and Robotics (CAIRO) and an Associate Professor in the Department of Electronic Systems at the Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia (UTM). He holds an MEng from the University of York, UK (2007), and a PhD in Machine Learning from UTM (2013). His contributions to AI research have earned him multiple accolades, including the York Probe Prize and various awards in AI and machine learning. In 2020, he was recognized as a Chartered Engineer (CEng) by the UK Engineering Council and a Professional Technologist by the Malaysian Board of Technologies (MBOT). He has been a Certified NVIDIA Deep Learning Instructor since 2018 and is a member of the Academy of Sciences Malaysia’s Special Interest Group on Machine Learning. He previously served as Head of Department and Procurement Manager at MJIIT and actively contributes to academic and research committees. Internationally, he has collaborated as a visiting researcher at Keio University and Kyushu University in Japan, and currently serves as a visiting scholar at Nanjing University, China, focusing on AI-related collaborative research initiatives. His current research includes Generative AI and AI Computer Vision, with applications in wafer defect inspection, digital twins for the telecommunications sector, and AI systems that incorporate human feedback.