Automated AI
We're building tools to help AI creators reduce the time they spend designing their models. Our goal is to allow non-experts across industries to build their own AI solutions, without writing complex code or performing tedious tuning and optimization.
Our work
Generative AI could offer a faster way to test theories of how the universe works
NewsKim Martineau- AI
- AI for Asset Management
- AI for Business Automation
- AI for IT
- Automated AI
- Foundation Models
Software has eaten the world. What now?
Q & AKim Martineau- AI for Code
- Application Modernization
- Automated AI
- Generative AI
- Natural Language Processing
What is AI alignment?
ExplainerKim Martineau- AI
- Automated AI
- Fairness, Accountability, Transparency
- Foundation Models
- Natural Language Processing
How IBM is helping a major retailer stay ahead of the holiday crunch
Case studyKatia Moskvitch- Automated AI
- Machine Learning
Goal-oriented flow assist: supporting low code data flow automation with natural language
Technical noteKartik Talamadupula and Michelle Brachman- AI
- AI for Business Automation
- Automated AI
- Human-Centered AI
Snap ML pushes AutoAI to deliver 4x-faster automated machine learning on IBM Cloud
ReleaseThomas Parnell, Haris Pozidis, Łukasz Ćmielowski, and Daniel Ryszka5 minute read- Automated AI
- See more of our work on Automated AI
IBM Solution: AutoAI on IBM Watson Studio
Our recent work was developed into AutoAI in IBM Watson Studio. It enables data scientists to quickly build and train high-quality predictive models, and simplifies AI lifecycle management in a code-optional environment.
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Publications
- Harold Benoit
- Liangze Jiang
- et al.
- 2024
- ICLR 2024
- Asaf Yehudai
- Boaz Carmeli
- et al.
- 2024
- ICLR 2024
- Weiqin Chen
- James Onyejizu
- et al.
- 2024
- AAMAS 2024
- Daniel Karl I. Weidele
- Mauro Martino
- et al.
- 2024
- IUI 2024
- Beni Egressy
- Luc Von Niederhäusern
- et al.
- 2024
- AAAI 2024
- Xi Yang
- Rohan Arora
- et al.
- 2024
- IAAI 2024
Tech Preview: IBM Federated Learning
Our research has been developed into a technology preview on the IBM Cloud Pak for Data. Federated Learning provides the tools for training an AI model collaboratively, by using a federated set of secure data sources.
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