IDSS hosts inaugural Learning for Dynamics and Control conference
L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.
L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.
Along with studying theory, "it's also important to me that the work we are doing will help to solve real-world problems,” says LIDS student Omer Tanovic.
New approach quickly finds hidden objects in dense point clouds, for use in driverless cars or work spaces with robotic assistants.
Interactive tool lets users see and control how automated model searches work.
Technologies ranging from a hurricane-evacuation decision platform to algorithms that compare DNA samples honored as some of the world's best inventions of 2018.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the last quarter.
Laboratory for Information and Decision Systems alumnus and CSAIL lecturer Jehangir Amjad uses statistical methods to predict likely outcomes with limited data.
Model extracts granular behavioral patterns from transaction data to more accurately flag suspicious activity.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the last quarter.
Low-power design will allow devices as small as a honeybee to determine their location while flying.
Algorithm provides networks with the most current information available while avoiding data congestion.
With new system, drones navigate through an empty room, avoiding crashes while “seeing” a virtual world.
Model finds operating nuclear plants flexibly can reduce electricity costs, increase revenue for nuclear plants, and cut carbon emissions in electric power systems.
Automated data science tools developed by MIT and Feature Labs deliver their first AI product.
Theoretical study shows how to make wireless localization much more accurate.