Autonomous Learning Laboratory
Focuses on both machine and biological learning including reinforcement learning, safe machine learning, and biologically inspired machine learning.
Autonomous Mobile Robotics Laboratory
Does research in robotics to continually make robots more autonomous, accurate, robust, and efficient, in real-world unstructured environments.
Biologically Inspired Neural and Dynamical Systems Laboratory
Aims to apply techniques developed in computer science to problems in biology and neuroscience
Center for Intelligent Information Retrieval
One of the leading research groups working in the areas of information retrieval and information extraction.
Equity, Accountability, Trust, and Explainability (EQUATE)
An initiative of CICS faculty who are engaged in research and education related to equitable algorithms and systems.
Information Extraction and Synthesis Laboratory
Aims to dramatically increase our ability to mine actionable knowledge from unstructured text
Information Fusion Lab
Working on machine learning for multimodal data, including methods that support a wide range of biomedical applications.
Knowledge Discovery Laboratory
Studies how to construct causal models of complex systems, a fundamental research challenge at the frontier of machine learning
Laboratory for Perceptual Robotics
Investigates planning and control methodologies for complex, multi-objective robotic systems,
Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer's Disease
Fosters interdisciplinary research on the development of AI-enhanced technologies to improve connections between older adults, caregivers, and clinicians.