In The News

Photonic processor could enable ultrafast AI computations with extreme energy efficiency
Photonic processor could enable ultrafast AI computations with extreme energy efficiency

This new device uses light to perform the key operations of a deep neural network on a chip, opening the door to high-speed processors that can learn in real-time.

Creating innovative health solutions for individuals and populations
Creating innovative health solutions for individuals and populations

Physician and engineer Giovanni Traverso found an early passion for molecular genetics, leading to an interdisciplinary career helping others.

Decarbonizing heavy industry with thermal batteries
Decarbonizing heavy industry with thermal batteries

MIT spinout Electrified Thermal Solutions has developed an electrically conductive firebrick that stores heat at high enough temperatures to power industrial processes.

Improving health, one machine learning system at a time
Improving health, one machine learning system at a time

Marzyeh Ghassemi works to ensure health-care models are trained to be robust and fair.

To design better water filters, MIT engineers look to manta rays
To design better water filters, MIT engineers look to manta rays

New research shows the filter-feeders strike a natural balance between permeability and selectivity that could inform design of water treatment systems.

New AI tool generates realistic satellite images of future flooding
New AI tool generates realistic satellite images of future flooding

The method could help communities visualize and prepare for approaching storms.

Building an understanding of how drivers interact with emerging vehicle technologies
Building an understanding of how drivers interact with emerging vehicle technologies

The MIT Advanced Vehicle Technology Consortium provides data-driven insights into driver behavior, along with trust in AI and advance vehicle technology.

MIT researchers develop an efficient way to train more reliable AI agents
MIT researchers develop an efficient way to train more reliable AI agents

The technique could make AI systems better at complex tasks that involve variability.

Advancing urban tree monitoring with AI-powered digital twins
Advancing urban tree monitoring with AI-powered digital twins

The Tree-D Fusion system integrates generative AI and genus-conditioned algorithms to create precise simulation-ready models of 600,000 existing urban trees across North America.

3 Questions: Claire Wang on training the brain for memory sports
3 Questions: Claire Wang on training the brain for memory sports

The MIT sophomore and award-winning memory champion explains what these competitions are all about and why you might want to build a “memory palace.”

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