Archives des Laboratory for Information and Decision Systems (LIDS)

Study shows vision-language models can’t handle queries with negation words
15 Mai
New tool evaluates progress in reinforcement learning
15 Mai
Designing a new way to optimize complex coordinated systems
15 Mai
A faster way to solve complex planning problems
15 Mai
Researchers teach LLMs to solve complex planning challenges
15 Mai
Validation technique could help scientists make more accurate forecasts
15 Mai
Expanding robot perception
15 Mai
Algorithms and AI for a better world
15 Mai
Algorithms and AI for a better world
15 Mai
MIT welcomes Frida Polli as its next visiting innovation scholar
15 Mai
MIT affiliates named 2024 Schmidt Futures AI2050 Fellows
15 Mai
Researchers reduce bias in AI models while preserving or improving accuracy
15 Mai
Enabling AI to explain its predictions in plain language
15 Mai
Improving health, one machine learning system at a time
15 Mai
MIT researchers develop an efficient way to train more reliable AI agents
15 Mai
A causal theory for studying the cause-and-effect relationships of genes
15 Mai
Despite its impressive output, generative AI doesn’t have a coherent understanding of the world
15 Mai
Helping robots zero in on the objects that matter
15 Mai
3 Questions: Should we label AI systems like we do prescription drugs?
15 Mai
Study: AI could lead to inconsistent outcomes in home surveillance
15 Mai
MIT researchers use large language models to flag problems in complex systems
15 Mai
Study: When allocating scarce resources with AI, randomization can improve fairness
15 Mai
Large language models don’t behave like people, even though we may expect them to
15 Mai
AI model identifies certain breast tumor stages likely to progress to invasive cancer
15 Mai
How to assess a general-purpose AI model’s reliability before it’s deployed
15 Mai
When to trust an AI model
15 Mai
School of Engineering welcomes new faculty
15 Mai

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#Laboratory for Information and Decision Systems (LIDS)

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

Researchers reduce bias in AI models while preserving or improving accuracy

Enabling AI to explain its predictions in plain language

Improving health, one machine learning system at a time

MIT researchers develop an efficient way to train more reliable AI agents

A causal theory for studying the cause-and-effect relationships of genes

Helping robots zero in on the objects that matter

3 Questions: Should we label AI systems like we do prescription drugs?

Study: AI could lead to inconsistent outcomes in home surveillance

MIT researchers use large language models to flag problems in complex systems

Study: When allocating scarce resources with AI, randomization can improve fairness

AI model identifies certain breast tumor stages likely to progress to invasive cancer

How to assess a general-purpose AI model’s reliability before it’s deployed

When to trust an AI model

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

Researchers reduce bias in AI models while preserving or improving accuracy

Enabling AI to explain its predictions in plain language

Improving health, one machine learning system at a time

MIT researchers develop an efficient way to train more reliable AI agents

A causal theory for studying the cause-and-effect relationships of genes

Despite its impressive output, generative AI doesn’t have a coherent understanding of the world

Helping robots zero in on the objects that matter

3 Questions: Should we label AI systems like we do prescription drugs?

Study: AI could lead to inconsistent outcomes in home surveillance

MIT researchers use large language models to flag problems in complex systems

Study: When allocating scarce resources with AI, randomization can improve fairness

Large language models don’t behave like people, even though we may expect them to

AI model identifies certain breast tumor stages likely to progress to invasive cancer

How to assess a general-purpose AI model’s reliability before it’s deployed

When to trust an AI model

School of Engineering welcomes new faculty