Ever since its emergence in the mid-20th century, Artificial Intelligence has captured the imagination and curiosity of computer scientists and researchers. As a result, many premier technical universities across the world set up specialised labs led by leading AI minds and thinkers. These labs have been at the forefront of some of the most notable breakthroughs in the field. Here is a list of the foremost AI labs at world's leading universities.

• Stanford Artificial Intelligence Laboratory, US: SAIL, at Stanford University, has been a centre of excellence for Artificial Intelligence research, teaching, theory, and practice since its founding in 1962. It has diverse research groups conducting pioneering research in all areas of artificial intelligence including: Robotics, Machine Learning, Deep Learning, Natural Language Processing, Vision and Learning, Genomics, Healthcare, AI’s societal impact, and AI-connected cognitive and neuroscience.
• Oxford University, UK: Artificial Intelligence and Machine Learning research is carried out at the Department of Computer Science. The researchers also work with industrial partners such as DeepMind to develop the applications of their work. 
• Carnegie Mellon University, US: Carnegie Mellon has been a leader in Artificial Intelligence research since Herbert Simon and Allen Newell invented the field in the 1950s. CMU AI, at the School of Computer Science, unites students, faculty and staff from all areas of the university to create the one of the most experienced groups of AI researchers in the world.
• McGill University, Canada: The Centre for Intelligent Machines (CIM) is an inter-departmental inter-faculty research group which was formed in 1985 to facilitate and promote research on intelligent systems. The members of CIM seek to advance the state of knowledge in domains such as robotics, artificial intelligence, computer vision, medical imaging, haptics, systems and control, computer animation and machine and reinforcement learning.
• MIT’s Computer Science and Artificial Intelligence Laboratory, US: CSAIL, at the Massachusetts Institute of Technology, has more than 60 research groups working on hundreds of diverse projects. CSAIL was founded in 1963 and its researchers have won the Turing Award, often described as "the Nobel Prize for computing".
• Technical University of Munich, Germany: The Artificial Intelligence & Machine Learning cluster represents and pools the expertise of TUM in Artificial Intelligence. Its main focus lies on cutting-edge research in new machine learning algorithms across several research areas ranging from computer vision and visualisation to network analysis and physics based simulation. It serves as an interface between national and international research institutes and corporations, with the goal of collaborative research and development.
• NYU's Center for Data Science, US: CDS is the focal point for New York University’s university-wide efforts in Data Science. The Center was established in 2013 to advance NYU’s goal of creating a world-leading Data Science training and research facility, and arming researchers and professionals with the tools to harness the power of Big Data.
• Kyungpook National University, South Korea: The Brain AI Laboratory is a research group in the School of Electronics Engineering. It investigates artificial intelligence to understand the Brain. In particular, they develop novel machine & deep learning algorithms based on underlying mechanisms of brain functions and apply state-of-the-art machine & deep learning models to neurophysiological data recorded from the brain. The groups is also interested in understanding natural language and developing diagnostic and treating tools with clinical data using various AI techniques.
• Berkeley Artificial Intelligence Research, US: The BAIR Lab brings together UC Berkeley researchers across the areas of computer vision, machine learning, natural language processing, planning, control, and robotics. BAIR includes over 50 faculty and more than 300 graduate students and postdoctoral researchers pursuing research on fundamental advances in the above areas as well as cross-cutting themes including multi-modal deep learning, human-compatible AI, and connecting AI with other scientific disciplines and the humanities.
• University of Cambridge, UK: The Department of Computer Science and Technology carries out research in Machine Learning and Artificial Intelligence as a core area. The theoretical methods they develop and employ span all varieties of deep learning, classical statistical learning, computational biology, knowledge representation, Bayesian inference, causal modelling, logical reasoning, probabilistic reasoning, visual reasoning, stochastic processes, human-like computing, and natural language processing.

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