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Francesco Conti

2 papers indexed

arxiveess.IVcs.ROeess.SY2026-07-14Cited by 31

Improving Autonomous Nano-drones Performance via Automated End-to-End Optimization and Deployment of DNNs

Vlad Niculescu, Lorenzo Lamberti, Francesco Conti, Luca Benini, Daniele Palossi

The evolution of energy-efficient ultra-low-power (ULP) parallel processors and the diffusion of convolutional neural networks (CNNs) are fueling the advent of autonomous driving nano-sized unmanned aerial vehicles (UAVs). These sub-10 cm robotic platforms are envisioned as next-…

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arxivcs.DCcs.AIcs.PF2026-07-10

STEEL: Sparsity-Aware Fused Attention for Energy-Efficient Long-Sequence Inference on AMD's XDNA NPU

Victor J. B. Jung, Gagandeep Singh, Joseph Melber, Kristof Denolf, Francesco Conti, Luca Benini

The growing adoption of large language model-based agents within operating system workflows has increased the importance of energy-efficient inference on laptop-class systems-on-chip (SoCs). While cloud offloading remains common, it introduces reliability and privacy concerns tha…

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