Research
Research

Research

Aeronautical and astronautical engineering Artificial Intelligence Autonomous vehicles Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Human-computer interaction machine learning MIT Schwarzman College of Computing Research Robotics School of Engineering

System helps humans predict when self-driving cars will make mistakes

A new method, called CW-Net, translates the reasoning process of an autonomous vehicle’s AI system into understandable concepts that explain its behavior.

Algorithms Artificial Intelligence Awards, honors and fellowships Biology chemistry DMSE Electrical engineering and computer science (EECS) Graduate, postdoctoral Lincoln Laboratory Materials science and engineering MIT Schwarzman College of Computing MIT-Harvard Center for Ultracold Atoms Physics Quantum Computing Quantum physics Research Research Laboratory of Electronics School of Engineering School of Science

MIT Quantum Initiative launches postdoctoral fellowship program

The Institute welcomes its first cohort of QMIT Fellows this fall to advance interdisciplinary quantum research.

Artificial Intelligence Biological engineering Biology Computer science and technology machine learning Proteins Research School of Engineering School of Science

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

Artificial Intelligence Chemical engineering chemistry Computer science and technology Department of Energy (DoE) DMSE machine learning Materials science and engineering National Science Foundation (NSF) Nuclear science and engineering Physics Research School of Engineering School of Science Semiconductors

AI helps design new materials that work in the real world

The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.

Algorithms Artificial Intelligence Climate Computer modeling IDSS machine learning Mechanical engineering MIT Schwarzman College of Computing Natural disasters Research School of Engineering Sustainability Weather

Generating scenarios for extreme events, without extreme data

A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.

Agriculture Artificial Intelligence chemistry Cleaner industry Computer modeling DMSE Emissions Food Industry machine learning Materials science and engineering Nuclear science and engineering Pollution Research School of Engineering School of Science Sustainability

Paving the way for greener ammonia production

New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that’s essential to fertilizer and other products.

Artificial Intelligence Arts Arts, Technology and society Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) Ethics Law machine learning MIT Schwarzman College of Computing Research School of Engineering Technology and policy Technology and society

When AI art has no author: Study finds generated images often can’t be traced to training data

A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

Artificial Intelligence Arts Arts, Technology and society Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) Ethics Law machine learning MIT Schwarzman College of Computing Research School of Engineering Technology and policy Technology and society

When AI art has no author: Study finds generated images often can’t be traced to training data

A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

3-D imaging Artificial Intelligence Computer graphics Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Design Electrical engineering and computer science (EECS) Human-computer interaction Manufacturing MIT Schwarzman College of Computing Research School of Engineering Simulation

With a feel for physics, AI models simulate a wider range of real-world scenarios

“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.

Artificial Intelligence Batteries Computer modeling DMSE Electric vehicles Energy storage Lithium-ion Materials science and engineering MIT.nano National Science Foundation (NSF) Nuclear science and engineering Renewable energy Research School of Engineering Transportation

Solving the solvent problem

By focusing on electrolytes, MIT scientists are making sodium-metal batteries a more practical energy storage option.