Laboratory for Information and Decision Systems (LIDS)
Laboratory for Information and Decision Systems (LIDS)

Laboratory for Information and Decision Systems (LIDS)

Algorithms Artificial Intelligence Computer science and technology Laboratory for Information and Decision Systems (LIDS) machine learning Mathematics MIT-IBM Watson AI Lab Research

This “smart coach” helps LLMs switch between text and code

The CodeSteer system could boost large language models’ accuracy when solving complex problems, such as scheduling shipments in a supply chain.

Algorithms Artificial Intelligence Biological engineering Biology Broad Institute Cells Computer science and technology Department of Energy (DoE) Diagnostics Disease Electrical engineering and computer science (EECS) Genetics health IDSS Laboratory for Information and Decision Systems (LIDS) Medicine MIT Schwarzman College of Computing National Institutes of Health (NIH) Pharmaceuticals Research School of Engineering

How to more efficiently study complex treatment interactions

A new approach for testing multiple treatment combinations at once could help scientists develop drugs for cancer or genetic disorders.

Alternative energy Artificial Intelligence Chemical engineering DMSE Electrical engineering and computer science (EECS) Emissions Energy Energy efficiency Faculty Laboratory for Information and Decision Systems (LIDS) Lincoln Laboratory MIT Energy Initiative Renewable energy School of Engineering Special events and guest speakers Staff Sustainability

Confronting the AI/energy conundrum

The MIT Energy Initiative’s annual research symposium explores artificial intelligence as both a problem and a solution for the clean energy transition.

Artificial Intelligence Computer science and technology Diagnostics Electrical engineering and computer science (EECS) health Health Care Human-computer interaction Institute for Medical Engineering and Science (IMES) Laboratory for Information and Decision Systems (LIDS) machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering Technology and society

LLMs factor in unrelated information when recommending medical treatments

Researchers find nonclinical information in patient messages — like typos, extra white space, and colorful language — reduces the accuracy of an AI model.

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

Unpacking the bias of large language models

In a new study, researchers discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Computer science and technology Laboratory for Information and Decision Systems (LIDS) Logistics machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Natural language processing Research School of Engineering Software Technology and society

Inroads to personalized AI trip planning

A new framework from the MIT-IBM Watson AI Lab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas.

Artificial Intelligence Books and authors Collaboration Computer science and technology Covid-19 Data Education, teaching, academics Electrical engineering and computer science (EECS) Ethics Faculty IDSS Laboratory for Information and Decision Systems (LIDS) Leadership machine learning MIT Schwarzman College of Computing Pandemic School of Engineering Statistics Technology and policy Technology and society

Melding data, systems, and society

A new book from Professor Munther Dahleh details the creation of a unique kind of transdisciplinary center, uniting many specialties through a common need for data science.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Autonomous vehicles Computer science and technology Drones Electrical engineering and computer science (EECS) IDSS Laboratory for Information and Decision Systems (LIDS) machine learning Mechanical engineering MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research Robotics School of Engineering

AI-enabled control system helps autonomous drones stay on target in uncertain environments

The system automatically learns to adapt to unknown disturbances such as gusting winds.

Algorithms Artificial Intelligence Computer science and technology Data Electrical engineering and computer science (EECS) Graduate, postdoctoral Human-computer interaction Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing OpenCourseWare Profile School of Engineering Students Systems design

An anomaly detection framework anyone can use

PhD student Sarah Alnegheimish wants to make machine learning systems accessible.

Algorithms Artificial Intelligence Behavior Behavioral economics Computer science and technology Data Economics Electrical engineering and computer science (EECS) Faculty Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Profile School of Engineering School of Humanities Arts and Social Sciences Technology and society

The sweet taste of a new idea

Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.