About
Nic Lane is a Professor of Machine Learning Systems at the Department of Computer Science and Technology, University of Cambridge. He leads research at the intersection of machine learning systems, computer architecture, and edge computing.
- Research Focus: Scalable and robust end-to-end ML systems, multi-modal data processing (speech, vision, location), distributed execution, and hardware-software co-design.
- Teaching: Offers courses on Deep Neural Networks, Federated Learning, and Principles of Machine Learning Systems.
- Labs: Leads the Cambridge Machine Learning Systems (CaMLSys) group.
His recent work emphasizes
- Federated learning for large language models
- Hardware-efficient AI training and inference
- Carbon footprint analysis of AI systems
- AI regulation compliance frameworks
- 3D rendering acceleration via neural methods
Research fields
Machine Learning SystemsFederated LearningComputer ArchitectureEdge ComputingHardware AccelerationNeural Architecture SearchNatural Language ProcessingHuman-Centered ComputingMobile SystemsClimate Modeling with Machine LearningAI Regulation ComplianceCarbon Footprint of AIVisual Question Answering3D Gaussian SplattingSelf-Supervised Learning
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