2 papers
cs.AR2025
eIQ Neutron: Redefining Edge-AI Inference with Integrated NPU and Compiler Innovations
Lennart Bamberg, Filippo Minnella, Roberto Bosio +5
Neural Processing Units (NPUs) are key to enabling efficient AI inference in resource-constrained edge environments. While peak tera operations per second (TOPS) is often used to g…
cs.AR2023
Design and Optimization of Residual Neural Network Accelerators for Low-Power FPGAs Using High-Level Synthesis
Filippo Minnella, Teodoro Urso, Mihai T. Lazarescu +1
Residual neural networks are widely used in computer vision tasks. They enable the construction of deeper and more accurate models by mitigating the vanishing gradient problem. The…