A new lens on humanity
The inaugural MIT Human Insight Collaborative (MITHIC) Annual Event showcased the breadth of projects supported in the first year of the presidential initiative.
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AI-generated sensors open new paths for early cancer detection
Nanoparticles coated with molecular sensors could be used to develop at-home tests for many types of cancer.
MIT scientists investigate memorization risk in the age of clinical AI
New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.
Using design to interpret the past and envision the future
MIT graduate student C Jacob Payne reimagines historic architecture and invents new possibilities at the intersection of AI and design.
MIT in the media: 2025 in review
MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.
MIT community in 2025: A year in review
Top stories highlighted the Institute’s leading positions in world and national rankings; new collaboratives tackling manufacturing, generative AI, and quantum; how one professor influenced hundreds of thousands of students around the world; and more.
MIT’s top research stories of 2025
Concrete batteries, AI-developed antibiotics, the ozone’s recovery, and a more natural bionic knee were some of the most popular topics on MIT News.
Building reuse into the materials around us
At MIT, metallurgist Diran Apelian ScD ’73 urges engineers and researchers to rethink design, recycling, and the life cycle of modern materials.
Guided learning lets “untrainable” neural networks realize their potential
CSAIL researchers find even “untrainable” neural nets can learn effectively when guided by another network’s built-in biases using their guidance method.
A new way to increase the capabilities of large language models
MIT-IBM Watson AI Lab researchers developed an expressive architecture that provides better state tracking and sequential reasoning in LLMs over long texts.
A “scientific sandbox” lets researchers explore the evolution of vision systems
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Introducing the Minerals Stewardship Consortium at MIT
The consortium convenes industry, academia, and policy leaders to navigate competing demands and reimagine materials supply.
“Robot, make me a chair”
An AI-driven system lets users design and build simple, multicomponent objects by describing them with words.
Working to eliminate barriers to adopting nuclear energy
Nuclear waste continues to be a bottleneck in the widespread use of nuclear energy, so doctoral student Dauren Sarsenbayev is developing models to address the problem.
What makes a good proton conductor?
MIT researchers found a way to predict how efficiently materials can transport protons in clean energy devices and other advanced technologies.