<span class="vcard">Jennifer Chu | MIT News</span>
Jennifer Chu | MIT News
3-D Artificial Intelligence Automation Computer modeling Design machine learning Mechanical engineering Research School of Engineering Software

New AI agent learns to use CAD to create 3D objects from sketches

The virtual VideoCAD tool could boost designers’ productivity and help train engineers learning computer-aided design.

Artificial Intelligence Imaging Light machine learning Manufacturing Materials science and engineering Mechanical engineering Research School of Engineering

Checking the quality of materials just got easier with a new AI tool

Acting as a “virtual spectrometer,” SpectroGen generates spectroscopic data in any modality, such as X-ray or infrared, to quickly assess a material’s quality.

3-D printing Artificial Intelligence machine learning Materials science and engineering Mechanical engineering Research School of Engineering

Printable aluminum alloy sets strength records, may enable lighter aircraft parts

Incorporating machine learning, MIT engineers developed a way to 3D print alloys that are much stronger than conventionally manufactured versions.

Aeronautical and astronautical engineering Artificial Intelligence Computer modeling Energy Fluid dynamics Fusion Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Nuclear power and reactors Plasma Science and Fusion Center Renewable energy Research School of Engineering Sustainability

New prediction model could improve the reliability of fusion power plants

The approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak fusion machines.

Artificial Intelligence Arts Automation computer-vision machine learning Mechanical engineering Microsystems Technology Laboratories MIT Libraries MIT.nano Research School of Engineering Visual arts

Have a damaged painting? Restore it in just hours with an AI-generated “mask”

A new method can physically restore original paintings using digitally constructed films, which can be removed if desired.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Automation Autonomous vehicles computer-vision Drones Faculty Laboratory for Information and Decision Systems (LIDS) MIT Schwarzman College of Computing Profile Robotics School of Engineering Software

Expanding robot perception

Associate Professor Luca Carlone is working to give robots a more human-like awareness of their environment.

2-D Artificial Intelligence Computer chips DMSE Electronics Materials science and engineering Mechanical engineering Research School of Engineering Semiconductors

MIT engineers grow “high-rise” 3D chips

An electronic stacking technique could exponentially increase the number of transistors on chips, enabling more efficient AI hardware.

Artificial Intelligence Automobiles Computer modeling Data Design Electric vehicles Energy efficiency Fluid dynamics machine learning Mechanical engineering Research School of Engineering

Want to design the car of the future? Here are 8,000 designs to get you started.

MIT engineers developed the largest open-source dataset of car designs, including their aerodynamics, that could speed design of eco-friendly cars and electric vehicles.

Aeronautical and astronautical engineering Artificial Intelligence Climate change computer-vision Disaster response EAPS Earth and atmospheric sciences Environment Hurricanes Imaging machine learning Media Lab NASA Research Satellites School of Engineering School of Science Science communications Weather

New AI tool generates realistic satellite images of future flooding

The method could help communities visualize and prepare for approaching storms.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Autonomous vehicles computer-vision Disaster response Laboratory for Information and Decision Systems (LIDS) Lincoln Laboratory machine learning MIT Schwarzman College of Computing Natural disasters Research Robotics School of Engineering

Helping robots zero in on the objects that matter

A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.