Towards Scalable and Efficient Machine Learning as a Service (MLaaS)

Flexible Hardware as the Key to Accelerating Optimized Neural Networks

Toward Reliable, Scalable, and Efficient Edge-enabled Connected Vehicle Applications

Exploring Competitive Aspects of Synchronization in Shared Environments

Towards Efficient Deep Neural Network Execution with Model Compression and Platform-specific Optimization

Natural Motion Planning for Autonomous Agents