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
In search of AI algorithms that mimic the brain
Q & AKim Martineau- AI
- Foundation Models
- Generative AI
- Machine Learning
- Science
How open source paved the way for computing from anywhere
Q & AKim Martineau- AI
- Hybrid Cloud Platform
- Machine Learning
- Scaling AI
AI transformers shed light on the brain’s mysterious astrocytes
ResearchKim Martineau- AI
- Foundation Models
- Life Sciences
- Machine Learning
- Natural Language Processing
- Science
What is prompt-tuning?
NewsKim Martineau- AI
- Computer Vision
- Fairness, Accountability, Transparency
- Foundation Models
- Machine Learning
- Natural Language Processing
Saška Mojsilović wants to channel AI for good. She may also make you rethink sour cabbage
NewsKim Martineau- AI Transparency
- Data and AI Security
- Explainable AI
- Fairness, Accountability, Transparency
- Machine Learning
What is synthetic data?
ExplainerKim Martineau- AI
- Data and AI Security
- Machine Learning
- See more of our work on Machine Learning
Publications
- Luyao Shi
- Prashanth Vijayaraghavan
- et al.
- 2024
- CVPR 2024
- Paulo Rodrigo Cavalin
- Pedro Domingues
- et al.
- 2024
- NAACL 2024
- Evan Chen
- Shiqiang Wang
- et al.
- 2024
- INFOCOM 2024
- Pengchao Han
- Shiqiang Wang
- et al.
- 2024
- INFOCOM 2024
- A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing
- 2024
- ISCAS 2024
- Chen Chen
- Ruizhe Li
- et al.
- 2024
- ICLR 2024