Research / Projects

MIT-IBM Watson AI Lab has funded and launched more than 60 projects selected from 253 high-quality proposals received from nearly every MIT department.

Featured projects

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Experiments in Graph Deep Learning for Cryptocurrency Forensics

Applying AI techniques to identify and combat money laundering.

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Empowering AI with symbolic reasoning

Integrating neural and symbolic techniques will enable us to build more powerful AI that can perform more complex tasks by thinking more like we do.

Explore project

Teaching AI to generalize

Devloping new methods for AI systems to generalize and transfer learning from one domain to another.

Explore project

Getting the most from electronic health records

Creating new methods for generating datasets for question-answering from EHRs.

Explore project

Teaching AI where to focus

Extending attention-based models to new tasks where adequate training data is lacking.

Explore project

Gaining the upper hand against malware

Pitting a state-of-the-art machine learning malware detector against an imitated adversarial component, repeatedly learning how to fool it.

Explore project

Certifying robustness of an AI model

A way to measure the likelihood that neural networks can withstand a malicious attack.

Explore project

Preventing food spoilage to feed more people

A system to design, build, and test new structural proteins that could be used as edible coatings to extend the shelf life of perishable foods.

Explore project

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Fighting the opioid epidemic

A precision medicine model that can infer the causal effect of opioid usage on individuals. 

Explore project