Archives des MIT-IBM Watson AI Lab

Study: Platforms that rank the latest LLMs can be unreliable
18 Fév
Antonio Torralba, three MIT alumni named 2025 ACM fellows
18 Fév
Guided learning lets “untrainable” neural networks realize their potential
18 Fév
A new way to increase the capabilities of large language models
18 Fév
Enabling small language models to solve complex reasoning tasks
18 Fév
A smarter way for large language models to think about hard problems
18 Fév
Charting the future of AI, from safer answers to faster thinking
18 Fév
Creating AI that matters
18 Fév
Method teaches generative AI models to locate personalized objects
18 Fév
How to build AI scaling laws for efficient LLM training and budget maximization
18 Fév
MIT tool visualizes and edits “physically impossible” objects
18 Fév
This “smart coach” helps LLMs switch between text and code
18 Fév
Study could lead to LLMs that are better at complex reasoning
18 Fév
Inroads to personalized AI trip planning
18 Fév
AI-enabled control system helps autonomous drones stay on target in uncertain environments
18 Fév
AI learns how vision and sound are connected, without human intervention
18 Fév
Training LLMs to self-detoxify their language
18 Fév
Could LLMs help design our next medicines and materials?
18 Fév
New method assesses and improves the reliability of radiologists’ diagnostic reports
18 Fév
Researchers teach LLMs to solve complex planning challenges
18 Fév
AI tool generates high-quality images faster than state-of-the-art approaches
18 Fév
Like human brains, large language models reason about diverse data in a general way
18 Fév

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#MIT-IBM Watson AI Lab

Study: Platforms that rank the latest LLMs can be unreliable

Antonio Torralba, three MIT alumni named 2025 ACM fellows

Guided learning lets “untrainable” neural networks realize their potential

A new way to increase the capabilities of large language models

Enabling small language models to solve complex reasoning tasks

A smarter way for large language models to think about hard problems

Charting the future of AI, from safer answers to faster thinking

Creating AI that matters

Method teaches generative AI models to locate personalized objects

How to build AI scaling laws for efficient LLM training and budget maximization

MIT tool visualizes and edits “physically impossible” objects

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

Study could lead to LLMs that are better at complex reasoning

Inroads to personalized AI trip planning

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

AI learns how vision and sound are connected, without human intervention

Training LLMs to self-detoxify their language

Could LLMs help design our next medicines and materials?

New method assesses and improves the reliability of radiologists’ diagnostic reports

Researchers teach LLMs to solve complex planning challenges

AI tool generates high-quality images faster than state-of-the-art approaches

Like human brains, large language models reason about diverse data in a general way