Tag
#Computer Science and Artificial Intelligence Laboratory (CSAIL)
-
-
Mixing generative AI with physics to create personal items that work in the real world
-
Helping AI agents search to get the best results out of large language models
-
Antonio Torralba, three MIT alumni named 2025 ACM fellows
-
Why it’s critical to move beyond overly aggregated machine-learning metrics
-
Generative AI tool helps 3D print personal items that sustain daily use
-
MIT scientists investigate memorization risk in the age of clinical AI
-
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
-
New method improves the reliability of statistical estimations
-
New control system teaches soft robots the art of staying safe
-
MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases
-
Understanding the nuances of human-like intelligence
-
Charting the future of AI, from safer answers to faster thinking
-
MIT researchers propose a new model for legible, modular software
-
3 Questions: How AI is helping us monitor and support vulnerable ecosystems
-
Five with MIT ties elected to National Academy of Medicine for 2025
-
Creating AI that matters
-
New software designs eco-friendly clothing that can reassemble into new items
-
Method teaches generative AI models to locate personalized objects
-
Using generative AI to diversify virtual training grounds for robots
-
AI maps how a new antibiotic targets gut bacteria
-
Responding to the climate impact of generative AI
-
New AI system could accelerate clinical research
-
How to build AI scaling laws for efficient LLM training and budget maximization
-
Machine-learning tool gives doctors a more detailed 3D picture of fetal health
-
A greener way to 3D print stronger stuff
-
MIT researchers develop AI tool to improve flu vaccine strain selection
-
Researchers glimpse the inner workings of protein language models
-
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
-
Unpacking the bias of large language models
-
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