In The News

Celebrating open data
Celebrating open data

New prize program recognizes MIT researchers who make data openly accessible and reusable.

How “2D” materials expand
How “2D” materials expand

A new technique that accurately measures how atom-thin materials expand when heated could help engineers develop faster, more powerful electronic devices.

From LGO to PhD
From LGO to PhD

For some MIT Leaders for Global Operations graduates, a research passion becomes a full-time career.

Study: Zebrafish are smarter than we thought
Study: Zebrafish are smarter than we thought

Researchers have discovered that the brains of these simple fish can create three-dimensional maps of their surroundings.

Engineers solve a mystery on the path to smaller, lighter batteries
Engineers solve a mystery on the path to smaller, lighter batteries

Branchlike metallic filaments can sap the power of solid-state lithium batteries. A new study explains how they form and how to divert them.

On batteries, teaching, and world peace
On batteries, teaching, and world peace

Professor Emeritus Donald Sadoway, renowned electrochemist and influential educator, reflects on 45 years at MIT.

MIT wins world finals of the 45th International Collegiate Programming Contest
MIT wins world finals of the 45th International Collegiate Programming Contest

Students reflect on their top performance in Dhaka, Bangladesh, which ended a 44-year drought for MIT.

Empowering social media users to assess content helps fight misinformation
Empowering social media users to assess content helps fight misinformation

An experimental platform that puts moderation in the hands of its users shows that people do evaluate posts effectively and share their assessments with others.

Keeping indoor humidity levels at a “sweet spot” may reduce spread of Covid-19
Keeping indoor humidity levels at a “sweet spot” may reduce spread of Covid-19

A new study links very dry and very humid indoor environments with worse Covid-19 outcomes.

Solving brain dynamics gives rise to flexible machine-learning models
Solving brain dynamics gives rise to flexible machine-learning models

MIT CSAIL researchers solve a differential equation behind the interaction of two neurons through synapses to unlock a new type of speedy and efficient AI algorithm.

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