Recently added

Multimodal Vision for 3D Scene Interpretation

Unknown author (2023-12-18)

The MIT Lincoln Laboratory project Multimodal Vision for 3D Scene Interpretation (MMV3D) translates multiple types of 2D imagery to create a 3D image that more accurately captures complex multi-surface geometry.

Award-Winning Laboratory Technology Aims to Prevent Aircraft Collisions

Unknown author (2023-12-18)

A next-generation collision avoidance system will help pilots and unmanned aircraft safely navigate the airspace.

Using Machine Learning to Trace Genetically Engineered DNA

Unknown author (2023-12-18)

A Laboratory team is using machine learning to trace the origin of DNA modifications. While previous studies focused on using plasmids—extra-chromosomal pieces of DNA—this team focused on trying to pinpoint exact computational ...

DSpace@MIT

Research Computing: Recent submissions

Multimodal Vision for 3D Scene Interpretation

Award-Winning Laboratory Technology Aims to Prevent Aircraft Collisions

Using Machine Learning to Trace Genetically Engineered DNA

Research Computing: Recent submissions

Multimodal Vision for 3D Scene Interpretation ﻿

Award-Winning Laboratory Technology Aims to Prevent Aircraft Collisions ﻿

Using Machine Learning to Trace Genetically Engineered DNA ﻿

Multimodal Vision for 3D Scene Interpretation

Award-Winning Laboratory Technology Aims to Prevent Aircraft Collisions

Using Machine Learning to Trace Genetically Engineered DNA