Research
Research

Research

Artificial Intelligence Chemical engineering chemistry machine learning National Science Foundation (NSF) Research School of Engineering School of Science

Computational model captures the elusive transition states of chemical reactions

Using generative AI, MIT chemists created a model that can predict the structures formed when a chemical reaction reaches its point of no return.

Artificial Intelligence Brain and cognitive sciences Hearing machine learning McGovern Institute National Institutes of Health (NIH) Research School of Science

Deep neural networks show promise as models of human hearing

Study shows computational models trained to perform auditory tasks display an internal organization similar to that of the human auditory cortex.

Artificial Intelligence Biological engineering Computer science and technology Electronics machine learning Mechanical engineering MIT Schwarzman College of Computing National Institutes of Health (NIH) Research School of Engineering

Closing the design-to-manufacturing gap for optical devices

A new method enables optical devices that more closely match their design specifications, boosting accuracy and efficiency.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) Health Care Human-computer interaction IDSS Institute for Medical Engineering and Science (IMES) machine learning MIT Schwarzman College of Computing Research School of Engineering

Automated system teaches users when to collaborate with an AI assistant

MIT researchers develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.

Artificial Intelligence chemistry Department of Defense (DoD) DMSE machine learning Materials science and engineering National Science Foundation (NSF) Research School of Engineering

MIT engineers develop a way to determine how the surfaces of materials behave

Using machine learning, the computational method can provide details of how materials work as catalysts, semiconductors, or battery components.

Algorithms Artificial Intelligence Civil and environmental engineering Computer science and technology IDSS Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering

AI accelerates problem-solving in complex scenarios

A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Human-computer interaction machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research Robots

New method uses crowdsourced feedback to help train robots

Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.

Algorithms Artificial Intelligence Bacteria Biological engineering Biology Brain and cognitive sciences Broad Institute Computational biology Computer science and technology CRISPR Data DNA Genetic engineering Genome Genome editing McGovern Institute Microbes National Institutes of Health (NIH) Research RNA School of Engineering School of Science

Search algorithm reveals nearly 200 new kinds of CRISPR systems

By analyzing bacterial data, researchers have discovered thousands of rare new CRISPR systems that have a range of functions and could enable gene editing, diagnostics, and more.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Data Electrical Engineering & Computer Science (eecs) image processing machine learning MIT Schwarzman College of Computing Research School of Engineering

Synthetic imagery sets new bar in AI training efficiency

MIT CSAIL researchers innovate with synthetic imagery to train AI, paving the way for more efficient and bias-reduced machine learning.

Algorithms Artificial Intelligence Computer science and technology Data Electrical Engineering & Computer Science (eecs) Internet Of Things machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Mobile devices National Science Foundation (NSF) Privacy Research School of Engineering

Technique enables AI on edge devices to keep learning over time

With the PockEngine training method, machine-learning models can efficiently and continuously learn from user data on edge devices like smartphones.