By attracting the world’s sharpest talent, MIT helps keep the US a step ahead
MIT is a global community whose international engagement bestows benefits well beyond the Cambridge campus.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
What does the future hold for generative AI?
At the inaugural MIT Generative AI Impact Consortium Symposium, researchers and business leaders discussed potential advancements centered on this powerful technology.
How to build AI scaling laws for efficient LLM training and budget maximization
MIT-IBM Watson AI Lab researchers have developed a universal guide for estimating how large language models will perform based on smaller models in the same family.
Machine-learning tool gives doctors a more detailed 3D picture of fetal health
MIT CSAIL researchers developed a tool that can model the shape and movements of fetuses in 3D, potentially assisting doctors in finding abnormalities and making diagnoses.
MIT software tool turns everyday objects into animated, eye-catching displays
The FabObscura system helps users design and print barrier-grid animations without electronics, and can help produce dynamic household, workplace, and artistic objects.
Alzheimer’s erodes brain cells’ control of gene expression, undermining function, cognition
Study of 3.5 million cells from more than 100 human brains finds Alzheimer’s progression — and resilience to disease — depends on preserving epigenomic stability.
A human-centered approach to data visualization
Balancing automation and agency, Associate Professor Arvind Satyanarayan develops interactive data visualizations that amplify human creativity and cognition.
A greener way to 3D print stronger stuff
MIT CSAIL researchers developed SustainaPrint, a system that reinforces only the weakest zones of eco-friendly 3D prints, achieving strong results with less plastic.
Soft materials hold onto “memories” of their past, for longer than previously thought
New findings could help manufacturers design gels, lotions, or even paving materials that last longer and perform more predictably.
MIT researchers develop AI tool to improve flu vaccine strain selection
VaxSeer uses machine learning to predict virus evolution and antigenicity, aiming to make vaccine selection more accurate and less reliant on guesswork.
Researchers glimpse the inner workings of protein language models
A new approach can reveal the features AI models use to predict proteins that might make good drug or vaccine targets.
A shape-changing antenna for more versatile sensing and communication
You can adjust the frequency range of this durable, inexpensive antenna by squeezing or stretching its structure.
Building a lifeline for family caregivers across the US
Ianacare, co-founded by Steven Lee ’97, MEng ’98, equips caregivers with the resources, networks, and tools they need to support loved ones.
MIT tool visualizes and edits “physically impossible” objects
By visualizing Escher-like optical illusions in 2.5 dimensions, the “Meschers” tool could help scientists understand physics-defying shapes and spark new designs.
New algorithms enable efficient machine learning with symmetric data
This new approach could lead to enhanced AI models for drug and materials discovery.