In search of AI algorithms that mimic the brain
Q & A
Kim Martineau
Machine Learning
Machine learning uses data to teach AI systems to imitate the way that humans learn. They can find the signal in the noise of big data, helping businesses improve their operations. We've been in the field since since the beginning: IBMer Arthur Samuel even coined the term “Machine Learning” back in 1959.
Our work
How open source paved the way for computing from anywhere
Q & AKim MartineauAI transformers shed light on the brain’s mysterious astrocytes
ResearchKim MartineauWhat is prompt-tuning?
NewsKim MartineauSaška Mojsilović wants to channel AI for good. She may also make you rethink sour cabbage
NewsKim MartineauWhat is synthetic data?
ExplainerKim Martineau and Rogerio Feris- See more of our work on Machine Learning
Publications
An Online, Probabilistic Distributed Tracing System
- Mert Toslali
- Syed Qasim
- et al.
- 2024
- IC2E 2024
MDLab: AI frameworks for Carbon Capture and Battery Materials
- Bruce Elmegreen
- Hendrik Hamann
- et al.
- 2025
- Frontiers in Environmental Science
Workshop on Collaborative and Federated Agentic Workflows (CFAgentic @ ICML'25)
- Alexander Erben
- Gauri Joshi
- et al.
- 2025
- ICML 2025
Modern Methods in Associative Memory
- 2025
- ICML 2025
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
- Changsheng Wang
- Yihua Zhang
- et al.
- 2025
- ICML 2025
Learning interpretable positional encodings in transformers depends on initialization
- Taku Ito
- Luca Cocchi
- et al.
- 2025
- ICML 2025