In The News

New tool makes generative AI models more likely to create breakthrough materials
New tool makes generative AI models more likely to create breakthrough materials

With SCIGEN, researchers can steer AI models to create materials with exotic properties for applications like quantum computing.

What does the future hold for generative AI?
What does the future hold for generative AI?

At the inaugural MIT Generative AI Impact Consortium Symposium, researchers and business leaders discussed potential advancements centered on this powerful technology.

New 3D bioprinting technique may improve production of engineered tissue
New 3D bioprinting technique may improve production of engineered tissue

The method enhances 3D bioprinting capabilities, accelerating process optimization‎ for real-world applications in tissue engineering.

Working to make fusion a viable energy source
Working to make fusion a viable energy source

As the Norman C. Rasmussen Adjunct Professor, George Tynan is looking forward to addressing the big physics and engineering challenges of fusion plasmas.

A more precise way to edit the genome
A more precise way to edit the genome

MIT researchers have dramatically lowered the error rate of prime editing, a technique that holds potential for treating many genetic disorders.

Decoding the sounds of battery formation and degradation
Decoding the sounds of battery formation and degradation

New findings could provide a way to monitor batteries for sounds that could guide manufacturing, indicate remaining usable life, or flag potential safety issues.

A new community for computational science and engineering
A new community for computational science and engineering

How the stand-alone PhD program is building connections and preparing students to make a difference.

How to build AI scaling laws for efficient LLM training and budget maximization
How to build AI scaling laws for efficient LLM training and budget maximization

MIT-IBM Watson AI Lab researchers have developed a universal guide for estimating how large language models will perform based on smaller models in the same family.

How MIT’s Steel Research Group led to a groundbreaking national materials initiative
How MIT’s Steel Research Group led to a groundbreaking national materials initiative

Founder Gregory B. Olson reflects on past and continuing high-impact work as the group turns 40.

Machine-learning tool gives doctors a more detailed 3D picture of fetal health
Machine-learning tool gives doctors a more detailed 3D picture of fetal health

MIT CSAIL researchers developed a tool that can model the shape and movements of fetuses in 3D, potentially assisting doctors in finding abnormalities and making diagnoses.

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