Archives des Laboratory for Information and Decision Systems (LIDS)

Eco-driving measures could significantly reduce vehicle emissions
13 Août
New algorithms enable efficient machine learning with symmetric data
13 Août
A new way to edit or generate images
13 Août
This “smart coach” helps LLMs switch between text and code
13 Août
How to more efficiently study complex treatment interactions
13 Août
Confronting the AI/energy conundrum
13 Août
LLMs factor in unrelated information when recommending medical treatments
13 Août
Unpacking the bias of large language models
13 Août
Inroads to personalized AI trip planning
13 Août
Melding data, systems, and society
13 Août
AI-enabled control system helps autonomous drones stay on target in uncertain environments
13 Août
An anomaly detection framework anyone can use
13 Août
The sweet taste of a new idea
13 Août
With AI, researchers predict the location of virtually any protein within a human cell
13 Août
Study shows vision-language models can’t handle queries with negation words
13 Août
New tool evaluates progress in reinforcement learning
13 Août
Designing a new way to optimize complex coordinated systems
13 Août
A faster way to solve complex planning problems
13 Août
Researchers teach LLMs to solve complex planning challenges
13 Août
Validation technique could help scientists make more accurate forecasts
13 Août
Expanding robot perception
13 Août
Algorithms and AI for a better world
13 Août
Algorithms and AI for a better world
13 Août
MIT welcomes Frida Polli as its next visiting innovation scholar
13 Août
MIT affiliates named 2024 Schmidt Futures AI2050 Fellows
13 Août

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#Laboratory for Information and Decision Systems (LIDS)

Eco-driving measures could significantly reduce vehicle emissions

New algorithms enable efficient machine learning with symmetric data

A new way to edit or generate images

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

How to more efficiently study complex treatment interactions

Confronting the AI/energy conundrum

LLMs factor in unrelated information when recommending medical treatments

Unpacking the bias of large language models

Inroads to personalized AI trip planning

Melding data, systems, and society

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

An anomaly detection framework anyone can use

With AI, researchers predict the location of virtually any protein within a human cell

Study shows vision-language models can’t handle queries with negation words

New tool evaluates progress in reinforcement learning

Designing a new way to optimize complex coordinated systems

A faster way to solve complex planning problems

Researchers teach LLMs to solve complex planning challenges

Validation technique could help scientists make more accurate forecasts

Expanding robot perception

Eco-driving measures could significantly reduce vehicle emissions

New algorithms enable efficient machine learning with symmetric data

A new way to edit or generate images

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

How to more efficiently study complex treatment interactions

Confronting the AI/energy conundrum

LLMs factor in unrelated information when recommending medical treatments

Unpacking the bias of large language models

Inroads to personalized AI trip planning

Melding data, systems, and society

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

An anomaly detection framework anyone can use

The sweet taste of a new idea

With AI, researchers predict the location of virtually any protein within a human cell

Study shows vision-language models can’t handle queries with negation words

New tool evaluates progress in reinforcement learning

Designing a new way to optimize complex coordinated systems

A faster way to solve complex planning problems

Researchers teach LLMs to solve complex planning challenges

Validation technique could help scientists make more accurate forecasts

Expanding robot perception

Algorithms and AI for a better world

Algorithms and AI for a better world

MIT welcomes Frida Polli as its next visiting innovation scholar

MIT affiliates named 2024 Schmidt Futures AI2050 Fellows