What’s Next in AI
is foundation models at scale

The AI landscape today is dominated by purpose-built models deployed for dedicated tasks. But enterprises need a large corpus of labeled data, significant resources, and teams of skilled data scientists to train and maintain these models. Foundation models represent a generational opportunity for enterprise. They’re general-purpose, pre-trained models that can be fine-tuned to accomplish a wide set of tasks. We’re developing software, middleware, and hardware to bring frictionless, cloud-native development and use of foundation models to enterprise AI.

Our work

Tools + code

MIT-IBM Watson AI Lab

We’re partnering with the sharpest minds at MIT to advance AI research in areas like healthcare, security,
 and finance.

Publication collections

Projects

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AutoAI for text

Scaling AI technologies for NLP and text data to a large variety of users.
  • Natural Language Processing
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Analog AI

Making Deep Neural Network systems more capable and energy-efficient.
  • AI Hardware
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AIMEE

AI model explorer and editor tool.
  • Human-Centered AI
  • Fairness, Accountability, Transparency
  • AI for Business Automation
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PrimeQA

An efficient toolkit for state-of-the-art models on multi lingual open domain question answering.
  • Conversational AI
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Deep Scanner

A tale of adversarial attacks & out-of-distribution detection stories in the activation space
  • Adversarial Robustness and Privacy
  • Foundation Models

Topics

Collaborate with us

With over 3,000 researchers across the globe, IBM Research has a long pedigree of turning fundamental research into world-altering technology. Learn more about the ways that we collaborate with businesses and organizations across the globe to help solve their most pressing needs faster.