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.
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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.
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.
Demo Day features hormone-tracking sensors, desalination systems, and other innovations
MIT student teams celebrate business milestones at the capstone event for the 2025 delta v summer accelerator.
Lincoln Laboratory technologies win seven R&D 100 Awards for 2025
Inventions that protect US service members, advance computing, and enhance communications are recognized among the year's most significant new products.
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.
3 Questions: The pros and cons of synthetic data in AI
Artificially created data offer benefits from cost savings to privacy preservation, but their limitations require careful planning and evaluation, Kalyan Veeramachaneni says.
Understanding shocks to welfare systems
Angie Jo’s doctoral studies find that when a collective crisis strikes, nations with shallow social safety nets, like the US, respond with massive spending.
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.
New technologies tackle brain health assessment for the military
Tools build on years of research at Lincoln Laboratory to develop a rapid brain health screening capability and may also be applicable to civilian settings such as sporting events and medical offices.
Can large language models figure out the real world?
New test could help determine if AI systems that make accurate predictions in one area can understand it well enough to apply that ability to a different area.