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 MartineauSoftware has eaten the world. What now?
Q & AKim MartineauWhat is AI alignment?
ExplainerKim MartineauHow IBM is helping a major retailer stay ahead of the holiday crunch
Case studyKatia MoskvitchGoal-oriented flow assist: supporting low code data flow automation with natural language
Technical noteKartik Talamadupula and Michelle BrachmanSnap ML pushes AutoAI to deliver 4x-faster automated machine learning on IBM Cloud
ReleaseThomas Parnell, Haris Pozidis, Łukasz Ćmielowski, and Daniel Ryszka5 minute read- 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
RAC-GAN: Iterative Dual-Objective Over and Under Sampling for Imbalanced Datasets
- 2025
- ICASSP 2025
Text-Guided Few-Shot Semantic Segmentation with Training-Free Multimodal Feature Matching
- Guillaume Buthmann
- Tomoya Sakai
- et al.
- 2025
- ICASSP 2025
Generative AI Model Data Pre-Training on Kubernetes: A Use Case Study
- Alexey Roytman
- Anish Asthana
- 2025
- KubeCon EU 2025
Compliance at the Speed of Innovation: Leveraging AI-Driven Automation for Real-Time Regulatory Read
- Larry Carvalho
- Anca Sailer
- et al.
- 2025
- KubeCon EU 2025
LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles
- Corey Liam Lammie
- Yuxuan Wang
- et al.
- 2025
- IEEE TETC
Web Agent Revolution: Enhancing Trust and Enterprise-Grade Adoption Through Innovation
- Segev Shlomov
- Xiang Deng
- et al.
- 2025
- AAAI 2025
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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