Testudo: Collaborative intelligence for latency-critical autonomous systems
Edge computing is to be widely adopted for autonomous systems (ASs) applications as
compute-intensive processing tasks can be offloaded to compute-capable servers located at …
compute-intensive processing tasks can be offloaded to compute-capable servers located at …
A Survey on Dynamic Neural Networks: from Computer Vision to Multi-modal Sensor Fusion
Model compression is essential in the deployment of large Computer Vision models on
embedded devices. However, static optimization techniques (eg pruning, quantization, etc.) …
embedded devices. However, static optimization techniques (eg pruning, quantization, etc.) …
Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception
We study the application of emerging chiplet-based Neural Processing Units to accelerate
vehicular AI perception workloads in constrained automotive settings. The motivation stems …
vehicular AI perception workloads in constrained automotive settings. The motivation stems …
Hardware/Software Co-Design Methodologies for Efficient AI Systems and Applications
MMAA Odema - 2024 - search.proquest.com
The landscape of AI research is dominated by the search for powerful deep learning models
and architectures that enable fascinating applications from the edge to the cloud. Indeed, we …
and architectures that enable fascinating applications from the edge to the cloud. Indeed, we …