Archives des MIT-IBM Watson AI Lab

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

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#MIT-IBM Watson AI Lab

New method could increase LLM training efficiency

Mixing generative AI with physics to create personal items that work in the real world

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