In The News

Nine from MIT named 2023 Sloan Research Fellows
Nine from MIT named 2023 Sloan Research Fellows

Annual award honors early-career researchers for creativity, innovation, and research accomplishments.

Using combustion to make better batteries
Using combustion to make better batteries

An MIT team is working to harness combustion to yield valuable materials, including some that are critical in the manufacture of lithium-ion batteries.

Preparing students for the new nuclear
Preparing students for the new nuclear

MIT Leaders for Global Operations’ collaboration with the Department of Nuclear Science and Engineering trains leaders for a rapidly evolving industry.

How to pull carbon dioxide out of seawater
How to pull carbon dioxide out of seawater

A new method for removing the greenhouse gas from the ocean could be far more efficient than existing systems for removing it from the air.

In visit to MIT, FedEx founder Frederick Smith shares thoughts on innovation
In visit to MIT, FedEx founder Frederick Smith shares thoughts on innovation

Smith, in discussion with Center for Transportation and Logistics Director Yossi Sheffi, reflects on 50 years in business and building for the future.

Engineers discover a new way to control atomic nuclei as “qubits”
Engineers discover a new way to control atomic nuclei as “qubits”

Using lasers, researchers can directly control a property of nuclei called spin, that can encode quantum information.

Responsive design meets responsibility for the planet’s future
Responsive design meets responsibility for the planet’s future

Senior Sylas Horowitz tackles engineering projects with a focus on challenges related to clean energy, climate justice, and sustainable development.

MIT community members elected to the National Academy of Engineering for 2023
MIT community members elected to the National Academy of Engineering for 2023

Seven researchers, along with 14 additional MIT alumni, are honored for significant contributions to engineering research, practice, and education.

Ingestible sensor could help doctors pinpoint GI difficulties
Ingestible sensor could help doctors pinpoint GI difficulties

The sensor sends out its location as it moves through the GI tract, revealing where slowdowns in digestion may occur.

Efficient technique improves machine-learning models’ reliability
Efficient technique improves machine-learning models’ reliability

The method enables a model to determine its confidence in a prediction, while using no additional data and far fewer computing resources than other methods.

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