Artificial Intelligence and Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) are transforming nearly every domain of society.

At IST, we equip students to design, build, and critically evaluate advanced AI/ML systems that reflect core principles of fairness, ethics, accountability, and transparency (FEAT). Our faculty leads cutting-edge research across a wide spectrum of AI topics, including natural language processing, computer vision, cognitive assistants, and human-in-the-loop machine learning.

We also advance foundational work in deep neural networks, ensemble learning, multimodal AI, semantic networks and knowledge graphs, and transfer learning. This research not only drives technical innovation but also ensures that AI technologies are socially responsible, ethically grounded, and aligned with human values. Through this comprehensive approach, IST contributes to the development of intelligent systems that are both high-performing and human-centered.

AI computer chip for information technology
Build Smarter Systems with Applied AI

Specialize in Applied Artificial Intelligence Technologies (AAIT) or Machine Learning Engineering (MLE) and gain the skills to design, deploy, and manage ethical, high-impact AI systems that drive innovation across industries.