Machine Learning and Artificial Intelligence – Penn Computer & Information Science Highlights

Machine Learning (ML) and Artificial Intelligence (AI) focus on creating systems that can learn from data and make decisions or predictions with minimal human intervention. In ML, algorithms analyze vast amounts of data to identify patterns, improve their performance over time, and adapt to new information without being explicitly programmed. AI encompasses broader areas, including the development of machines that simulate human intelligence, enabling them to perform tasks like problem-solving, natural language processing, image recognition, and decision-making.

Research in this area includes advancements in supervised, unsupervised, and reinforcement learning, neural networks, deep learning, and ethical concerns such as algorithmic fairness, data privacy, and interpretability of models. ML and AI are applied in various fields like healthcare, robotics, autonomous systems, and more, revolutionizing industries by offering innovative solutions to complex problems.