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Cisco Systems Explains How to Implement Efficient Many-function Video ML at the Edge (Preview)
Once-for-All DNNs: Simplifying Design of Efficient Models for Diverse Hardware, [Invited Talk]
Lecture 11: Parallel Algorithms
Recent Advances in Parallel Algorithms
Parallel and Memory Efficient Distributed Edge Learning in B5G IoT Networks
Chimera: Efficiently Training Large-Scale NNs with Bidirectional Pipelines, Shigang Li, ETH Zurich
CEVA Shows How to Efficiently Map AI and Vision Applications onto Multi-core AI Processors (Preview)
Nvidia CUDA in 100 Seconds
Elastic Synchronization Models for Distributed Deep Learning (Intro.)
[REFAI Seminar 03/01/22] Resource-Efficient Execution of Deep Learning Computations
Parallel Session 9: AI & ML in Action: Revolutionizing Efficiency and Innovation in Evaluation
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Last Updated: August 16, 2026
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![Once-for-All DNNs: Simplifying Design of Efficient Models for Diverse Hardware, [Invited Talk]](https://i.ytimg.com/vi/g3ujV7q0wZk/mqdefault.jpg)
![[REFAI Seminar 03/01/22] Resource-Efficient Execution of Deep Learning Computations](https://i.ytimg.com/vi/FMNUhYMz77M/mqdefault.jpg)
