Research
Research

Research

Algorithms Artificial Intelligence Computer modeling Computer science and technology Data Electrical Engineering & Computer Science (eecs) IDSS Laboratory for Information and Decision Systems (LIDS) machine learning Mathematics MIT Schwarzman College of Computing National Science Foundation (NSF) Ocean science Oceanography and ocean engineering Research School of Engineering

A better way to study ocean currents

A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) Human-computer interaction machine learning MIT Schwarzman College of Computing Research School of Engineering Technology and society

Study: AI models fail to reproduce human judgements about rule violations

Models trained using common data-collection techniques judge rule violations more harshly than humans would, researchers report.

Alumni/ae Artificial Intelligence Business and management Careers Data Finance Innovation and Entrepreneurship (I&E) machine learning MIT Schwarzman College of Computing MIT Sloan School of Management Quantum Computing Research School of Engineering Special events and guest speakers Students

Success at the intersection of technology and finance

Citadel founder and CEO Ken Griffin visits MIT, discusses how technology will continue to transform trading and investing.

Agriculture Artificial Intelligence Bioengineering and biotechnology Biological engineering Biology Carbon dioxide chemistry Climate change Collaboration Food Funding Genetic engineering Grants Greenhouse gases J-WAFS machine learning Plants Research School of Engineering School of Science Synthetic biology Water Whitehead Institute

Inaugural J-WAFS Grand Challenge aims to develop enhanced crop variants and move them from lab to land

Matt Shoulders will lead an interdisciplinary team to improve RuBisCO — the photosynthesis enzyme thought to be the holy grail for improving agricultural yield.

Artificial Intelligence Autonomous vehicles Computer science and technology computer-vision Imaging Light machine learning Media Lab National Science Foundation (NSF) Research School of Architecture and Planning sensors

Using reflections to see the world from new points of view

A new computer vision system turns any shiny object into a camera of sorts, enabling an observer to see around corners or beyond obstructions.

Algorithms Artificial Intelligence Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering School of Science

Training machines to learn more like humans do

Researchers identify a property that helps computer vision models learn to represent the visual world in a more stable, predictable way.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) IDSS Internet Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Networks Research School of Engineering

Researchers create a tool for accurately simulating complex systems

The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.

Algorithms Artificial Intelligence Chemical engineering Collaboration Data Electrical Engineering & Computer Science (eecs) Health Care Industry machine learning Manufacturing Mechanical engineering Medicine Pharmaceuticals Research School of Engineering

Researchers develop novel AI-based estimator for manufacturing medicine

A collaborative research team from the MIT-Takeda Program combined physics and machine learning to characterize rough particle surfaces in pharmaceutical pills and powders.

Artificial Intelligence Civil and environmental engineering computer-vision DMSE machine learning Materials science and engineering Research School of Engineering

Deep-learning system explores materials’ interiors from the outside

A new method could provide detailed information about internal structures, voids, and cracks, based solely on data about exterior conditions.

Algorithms Artificial Intelligence Bioinspiration Civil and environmental engineering Computer science and technology Department of Energy (DoE) machine learning Materials science and engineering MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Institutes of Health (NIH) Proteins Research School of Engineering

AI system can generate novel proteins that meet structural design targets

These tunable proteins could be used to create new materials with specific mechanical properties, like toughness or flexibility.