Logistics
Logistics

Logistics

Artificial Intelligence Classes and programs Computer science and technology cybersecurity Department of Defense (DoD) Electrical engineering and computer science (EECS) Logistics Mechanical engineering MIT Schwarzman College of Computing Navy Oceanography and ocean engineering School of Engineering Security studies and military Supply chains

New MIT program to train military leaders for the AI age

The new certificate program will equip naval officers with skills needed to solve the military’s hardest problems.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Computer science and technology Laboratory for Information and Decision Systems (LIDS) Logistics machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Natural language processing Research School of Engineering Software Technology and society

Inroads to personalized AI trip planning

A new framework from the MIT-IBM Watson AI Lab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas.

Algorithms Artificial Intelligence Autonomous vehicles Civil and environmental engineering Computer science and technology Data Emissions IDSS Laboratory for Information and Decision Systems (LIDS) Logistics machine learning MIT Schwarzman College of Computing Research School of Engineering Sustainability Traffic management Transportation

New tool evaluates progress in reinforcement learning

“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.

Artificial Intelligence Department of Defense (DoD) Lincoln Laboratory Logistics Natural language processing Security studies and military Software

Artificial intelligence enhances air mobility planning

Lincoln Laboratory is transitioning tools to the 618th Air Operations Center to streamline global transport logistics.

Algorithms Artificial Intelligence Civil and environmental engineering Computer science and technology IDSS Laboratory for Information and Decision Systems (LIDS) Logistics machine learning MIT Schwarzman College of Computing Research School of Engineering

A faster way to solve complex planning problems

By eliminating redundant computations, a new data-driven method can streamline processes like scheduling trains, routing delivery drivers, or assigning airline crews.

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.