Archives des Computer Science and Artificial Intelligence Laboratory (CSAIL)

MIT tool visualizes and edits “physically impossible” objects
8 Août
New algorithms enable efficient machine learning with symmetric data
8 Août
Robot, know thyself: New vision-based system teaches machines to understand their bodies
8 Août
A new way to edit or generate images
8 Août
The unique, mathematical shortcuts language models use to predict dynamic scenarios
8 Août
Can AI really code? Study maps the roadblocks to autonomous software engineering
8 Août
AI shapes autonomous underwater “gliders”
8 Août
Study could lead to LLMs that are better at complex reasoning
8 Août
Using generative AI to help robots jump higher and land safely
8 Août
Researchers present bold ideas for AI at MIT Generative AI Impact Consortium kickoff event
8 Août
Unpacking the bias of large language models
8 Août
Envisioning a future where health care tech leaves some behind
8 Août
Teaching AI models what they don’t know
8 Août
Teaching AI models the broad strokes to sketch more like humans do
8 Août
AI learns how vision and sound are connected, without human intervention
8 Août
Study shows vision-language models can’t handle queries with negation words
8 Août
Hybrid AI model crafts smooth, high-quality videos in seconds
8 Août
Novel AI model inspired by neural dynamics from the brain
8 Août
Making AI models more trustworthy for high-stakes settings
8 Août
The MIT-Portugal Program enters Phase 4
8 Août
“Periodic table of machine learning” could fuel AI discovery
8 Août
3D modeling you can feel
8 Août
Making AI-generated code more accurate in any language
8 Août
Training LLMs to self-detoxify their language
8 Août
New method efficiently safeguards sensitive AI training data
8 Août
Could LLMs help design our next medicines and materials?
8 Août
New method assesses and improves the reliability of radiologists’ diagnostic reports
8 Août
For this computer scientist, MIT Open Learning was the start of a life-changing journey
8 Août
At the core of problem-solving
8 Août
Robotic helper making mistakes? Just nudge it in the right direction
8 Août
Like human brains, large language models reason about diverse data in a general way
8 Août
AI model deciphers the code in proteins that tells them where to go
8 Août
Creating a common language
8 Août
Validation technique could help scientists make more accurate forecasts
8 Août
Introducing the MIT Generative AI Impact Consortium
8 Août
User-friendly system can help developers build more efficient simulations and AI models
8 Août
3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities
8 Août
Toward video generative models of the molecular world
8 Août
Explained: Generative AI’s environmental impact
8 Août
Teaching AI to communicate sounds like humans do
8 Août
A new computational model can predict antibody structures more accurately
8 Août
Ecologists find computer vision models’ blind spots in retrieving wildlife images
8 Août
MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures
8 Août
Study reveals AI chatbots can detect race, but racial bias reduces response empathy
8 Août
Lara Ozkan named 2025 Marshall Scholar
8 Août
MIT affiliates named 2024 Schmidt Futures AI2050 Fellows
8 Août
Teaching a robot its limits, to complete open-ended tasks safely
8 Août
AI in health should be regulated, but don’t forget about the algorithms, researchers say
8 Août

MIT tool visualizes and edits “physically impossible” objects

New algorithms enable efficient machine learning with symmetric data

Robot, know thyself: New vision-based system teaches machines to understand their bodies

A new way to edit or generate images

The unique, mathematical shortcuts language models use to predict dynamic scenarios

Can AI really code? Study maps the roadblocks to autonomous software engineering

AI shapes autonomous underwater “gliders”

Study could lead to LLMs that are better at complex reasoning

Using generative AI to help robots jump higher and land safely

Researchers present bold ideas for AI at MIT Generative AI Impact Consortium kickoff event

Unpacking the bias of large language models

Envisioning a future where health care tech leaves some behind

Teaching AI models what they don’t know

Teaching AI models the broad strokes to sketch more like humans do

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

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

Hybrid AI model crafts smooth, high-quality videos in seconds

Novel AI model inspired by neural dynamics from the brain

Making AI models more trustworthy for high-stakes settings

The MIT-Portugal Program enters Phase 4

“Periodic table of machine learning” could fuel AI discovery

3D modeling you can feel

Making AI-generated code more accurate in any language

Training LLMs to self-detoxify their language

New method efficiently safeguards sensitive AI training data

Could LLMs help design our next medicines and materials?

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

For this computer scientist, MIT Open Learning was the start of a life-changing journey

At the core of problem-solving

Robotic helper making mistakes? Just nudge it in the right direction

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

AI model deciphers the code in proteins that tells them where to go

Creating a common language

Validation technique could help scientists make more accurate forecasts

Introducing the MIT Generative AI Impact Consortium

User-friendly system can help developers build more efficient simulations and AI models

3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities

Toward video generative models of the molecular world

Explained: Generative AI’s environmental impact

Teaching AI to communicate sounds like humans do

A new computational model can predict antibody structures more accurately

Ecologists find computer vision models’ blind spots in retrieving wildlife images

MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures

Study reveals AI chatbots can detect race, but racial bias reduces response empathy

Lara Ozkan named 2025 Marshall Scholar

MIT affiliates named 2024 Schmidt Futures AI2050 Fellows

Teaching a robot its limits, to complete open-ended tasks safely

AI in health should be regulated, but don’t forget about the algorithms, researchers say