Machine Learning and Artificial Intelligence (AI) are interconnected fields that focus on creating systems capable of performing tasks that typically require human intelligence.

Artificial Intelligence is a broad area of computer science concerned with building machines that can simulate human cognitive functions such as learning, reasoning, problem-solving, and decision-making. It encompasses a range of approaches, from rule-based systems to advanced neural networks, and aims to develop systems that can operate autonomously and adapt to new situations.

These technologies underpin many modern applications, such as speech recognition, recommendation systems, image classification, and autonomous vehicles. With the rise of big data and increased computational power, machine learning and AI are rapidly advancing, transforming industries and daily life.

Current work on Machine Learning and AI in MISHE includes:

• Using Machine Learning to assist patients in management of diabetes.
• Discovery of novel materials for energy harvesting for renewable energy applications.
• Prediction of pedestrian movement for ensuring the safety of autonomous vehicles.
• Ethics and privacy implications of AI systems.
• Human- AI collaboration.
• Development of quantum computers.

Principal Investigators working in this research area include: