Safety
Safety

Safety

Artificial Intelligence Cells Electrical engineering and computer science (EECS) Health sciences and technology machine learning Medicine Safety School of Engineering Singapore-MIT Alliance for Research and Technology (SMART)

Novel method detects microbial contamination in cell cultures

Ultraviolet light “fingerprints” on cell cultures and machine learning can provide a definitive yes/no contamination assessment within 30 minutes.

Artificial Intelligence D-Lab Economics Electrical engineering and computer science (EECS) Ethics International development MISTI MIT Schwarzman College of Computing Profile Safety School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences Students Technology and policy Undergraduate Urban studies and planning

Aligning AI with human values

“We need to both ensure humans reap AI’s benefits and that we don’t lose control of the technology,” says senior Audrey Lorvo.

AgeLab Artificial Intelligence Automobiles Autonomous vehicles Behavior Center for Transportation and Logistics Collaboration Data Industry Logistics Safety Transportation

Building an understanding of how drivers interact with emerging vehicle technologies

The MIT Advanced Vehicle Technology Consortium provides data-driven insights into driver behavior, along with trust in AI and advance vehicle technology.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Autonomous vehicles Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Drones Electrical Engineering & Computer Science (eecs) machine learning Mechanical engineering MIT Schwarzman College of Computing Networks Research Robotics Robots Safety School of Engineering

Creating and verifying stable AI-controlled systems in a rigorous and flexible way

Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.