MIT in the media: 2025 in review
MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.
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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.
Enabling small language models to solve complex reasoning tasks
The “self-steering” DisCIPL system directs small models to work together on tasks with constraints, like itinerary planning and budgeting.
New MIT program to train military leaders for the AI age
The new certificate program will equip naval officers with skills needed to solve the military’s hardest problems.
Lisa Su ’90, SM ’91, PhD ’94 to deliver MIT’s 2026 Commencement address
An electrical engineer by training, Su is the chair and CEO of the semiconductor company AMD.
New materials could boost the energy efficiency of microelectronics
By stacking multiple active components based on new materials on the back end of a computer chip, this new approach reduces the amount of energy wasted during computation.