Our group is interested in using machine learning and artificial intelligence to transform health care.
We develop machine learning methods inspired by real clinical applications
Our researchers create state-of-the-art systems to better recognize objects, people, scenes, behaviors and more, with applications in health-care, gaming, tagging systems and more.
Our main goal is developing a computationally based understanding of human intelligence and establishing an engineering practice based on that understanding.
We focus on furthering the application of technology and artificial intelligence in medicine and health-care.
We work on a variety of topics spanning theoretical foundations, algorithms, and applications.
We develop new algorithms for medical image analysis and visualization of medical imagery.
Our mission is to work with policy makers and cybersecurity technologists to increase the trustworthiness and effectiveness of interconnected digital systems.
The Genesis Group focuses on developing an account of human intelligence with special
emphasis on developing computational models of how people tell, perceive and understand
stories.
We combine methods from computer science, neuroscience and cognitive science to explain and model how perception and cognition are realized in human and machine.