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New model offers a way to speed up drug discovery
New model offers a way to speed up drug discovery

By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.

MIT researchers make language models scalable self-learners
MIT researchers make language models scalable self-learners

The scientists used a natural language-based logical inference dataset to create smaller language models that outperformed much larger counterparts.

Megawatt electrical motor designed by MIT engineers could help electrify aviation
Megawatt electrical motor designed by MIT engineers could help electrify aviation

Technology demonstrations show the machine’s major components achieve the required performance.

Meet the tight-knit technical staff who help MIT.nano handle any challenge
Meet the tight-knit technical staff who help MIT.nano handle any challenge

All together, a core group of MIT.nano staffers has more than 400 years of technical experience in nanoscale characterization and fabrication.

Evolution through example and action
Evolution through example and action

Forty-one women were selected as 2023 MIT Graduate Women of Excellence, organized by the MIT Office of Graduate Education.

Scaling audio-visual learning without labels
Scaling audio-visual learning without labels

A new multimodal technique blends major self-supervised learning methods to learn more similarly to humans.

2023 MIT Commencement: Images from social media
2023 MIT Commencement: Images from social media

Community members provide unique views of MIT’s graduation ceremonies through Instagram, Twitter, and Facebook.

Turning a circle into a square is possible with this kirigami-inspired formula
Turning a circle into a square is possible with this kirigami-inspired formula

A study inspired by the Japanese paper-cutting art provides a blueprint for designing shape-shifting materials and devices.

A more effective way to train machines for uncertain, real-world situations
A more effective way to train machines for uncertain, real-world situations

Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own.

New tool helps people choose the right method for evaluating AI models
New tool helps people choose the right method for evaluating AI models

Selecting the right method gives users a more accurate picture of how their model is behaving, so they are better equipped to correctly interpret its predictions.

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