Machine learning speeds up vehicle routing
Strategy accelerates the best algorithmic solvers for large sets of cities.
Strategy accelerates the best algorithmic solvers for large sets of cities.
Wise Systems has grown from an MIT class project to a company helping multinationals improve last-mile logistics.
A deep model was trained on historical crash data, road maps, satellite imagery, and GPS to enable high-resolution crash maps that could lead to safer roads.
Modeling tool showcases emerging MIT Joint Program research focus on multi-sector dynamics.
Current and former MIT researchers find novel tools can improve the sustainability of road networks on a limited budget.
PhD student Heng Yang is developing algorithms to help driverless vehicles quickly and accurately assess their surroundings.
MIT researchers propose a gasoline-ethanol engine that is cleaner and more cost-effective than existing diesel engine technologies to help meet vehicle emission reduction goals.
Competing research teams trained machine learning models to predict optimal routing based on real field datasets.
Study shows a need to identify domestic and international pollution sources in policy design.
As researchers consider materials for solid-state batteries, they also may want to consider how those materials could impact large-scale manufacturing.
An MIT study gauges the pace of shifting to battery power.
A passion for biomaterials inspires PhD candidate Eesha Khare to tackle climate change.
How data from Access MIT informs flexible, sustainable commutes as staff returns to campus.
Associate professor of aeronautics and astronautics will head MIT’s longest continuously-running lab.