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.
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New 3D bioprinting technique may improve production of engineered tissue
The method enhances 3D bioprinting capabilities, accelerating process optimization for real-world applications in tissue engineering.
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 launches Day of Design to bring hands-on learning to classrooms
Building on Day of AI and Day of Climate, MIT shares free design resources to spark creativity and problem-solving in classrooms.
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.
DOE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions
The research center, sponsored by the DOE’s National Nuclear Security Administration, will advance the simulation of extreme environments, such as those in hypersonic flight and atmospheric reentry.
Ten years later, LIGO is a black-hole hunting machine
LIGO, Virgo, and KAGRA celebrate the anniversary of the first detection of gravitational waves and announce verification of Stephen Hawking’s black hole area theorem.
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.
AI and machine learning for engineering design
Popular mechanical engineering course applies machine learning and AI theory to real-world engineering design.
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.
A new generative AI approach to predicting chemical reactions
System developed at MIT could provide realistic predictions for a wide variety of reactions, while maintaining real-world physical constraints.
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.
Simpler models can outperform deep learning at climate prediction
New research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.