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
IBM’s CodeFlare significantly cuts the time to automate transfer learning tasks for foundation models
ResearchSecuring AI systems with adversarial robustness
Deep DiveNew IBM Research NLP enhancements coming to IBM Watson Discovery
NewsProject Debater argues for key point analysis of surveys, reviews, and social media
ReleaseIBM’s new AI-infused security technologies help defenders speed response to cyber attacks
ReleaseSnap ML pushes AutoAI to deliver 4x-faster automated machine learning on IBM Cloud
Release- 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 ↗
Publication collections
NeurIPS 2021
91
Annual Conference on Neural Information Processing Systems
06 Dec – 14 DecINFORMS 2021
38
INFORMS Annual Meeting
24 Oct – 27 OctIJCAI 2021
14
International Joint Conference on Artificial Intelligence
21 Aug – 26 AugKDD 2021
27
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
14 Aug – 18 Aug
Teams
- 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
- Trusted AI
- Trustworthy Generation
- Uncertainty Quantification
