What’s Next in AI
is fluid intelligence
Today’s AI is narrow. Applying trained models to new challenges requires an immense amount of new data training, and time. We need AI that combines different forms of knowledge, unpacks causal relationships, and learns new things on its own.
Our work
Training a customer service bot to sound more human
ResearchConverting several audio streams into one voice makes it easier for AI to learn
ResearchWhat is federated learning?
ExplainerIBM Research unveils two key advances for foundation models
NewsThe pandemic changed the way we understand speech
ResearchEntering the age of AI-powered digital employees
Explainer- See more of our work on AI
Tools + code
IBM Analog Hardware Acceleration Kit
An open source Python toolkit for exploring and using the capabilities of in-memory computing devices in the context of artificial intelligence.
View project →Project Debater for Academic Use
The technologies underlying Project Debater available as cloud services. Includes core natural language understanding capabilities, argument mining, and narrative generation.
View project →AI FactSheets 360
Toolkit to create factsheets outlining the details about how an AI service operates, how it was trained and tested, its performance metrics, fairness and robustness checks, intended uses, maintenance, and other critical details.
View project →GT4SD
An open-source library to accelerate hypothesis generation in the scientific discovery process.
View project →
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
KDD 2022
21
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
14 AugIJCAI 2022
13
International Joint Conference on Artificial Intelligence
23 JulICML 2022
30
International Conference on Machine Learning
17 JulACL 2022
13
Annual Meeting of the Association for Computational Linguistics
22 May – 27 May
Topics
- Adversarial Robustness and Privacy
- AI for Asset Management
- AI for Business Automation
- AI for Code
- AI for Supply Chain
- AI Hardware
- AI Testing
- Automated AI
- Causality
- Computer Vision
- Conversational AI
- Explainable AI
- Fairness, Accountability, Transparency
- Human-Centered AI
- Knowledge and Reasoning
- Machine Learning
- Natural Language Processing
- Neuro-symbolic AI
- Speech
- Trustworthy AI
- Trustworthy Generation
- Uncertainty Quantification
