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
ConvNLP: Image-based AI Text Detection
- Suriya Prakash Jambunathan
- Ashwath Shankarnarayan
- et al.
- 2024
- Big Data 2024
Adapting LLMs for Structured Natural Language API Integration
- Robin Chan
- Katya Mirylenka
- et al.
- 2024
- EMNLP 2024
FANet: Feature Amplification Network for Semantic Segmentation in Cluttered Background
- Muhammad Ali
- Mamoona Javaid
- et al.
- 2024
- ICIP 2024
Enterprise Benchmarks for Large Language Model Evaluation
- Bing Zhang
- Mikio Takeuchi
- et al.
- 2024
- arXiv
AutoPeptideML: a study on how to build more trustworthy peptide bioactivity predictors
- Raul Fernandez-Dıaz
- Rodrigo Cossio-Perez
- et al.
- 2024
- Bioinformatics
Combining Data Generation and Active Learning for Low-Resource Question Answering
- Maximilian Schmidt
- Andrea Bartezzaghi
- et al.
- 2024
- ICANN 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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