Zobrazeno 1 - 10
of 2 446
pro vyhledávání: '"Benini, Luca"'
This study investigates the application and performance of the Segment Anything Model 2 (SAM2) in the challenging task of video camouflaged object segmentation (VCOS). VCOS involves detecting objects that blend seamlessly in the surroundings for vide
Externí odkaz:
http://arxiv.org/abs/2409.18653
The new generation of domain-specific AI accelerators is characterized by rapidly increasing demands for bulk data transfers, as opposed to small, latency-critical cache line transfers typical of traditional cache-coherent systems. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2409.17606
Autor:
Mei, Lan, Ingolfsson, Thorir Mar, Cioflan, Cristian, Kartsch, Victor, Cossettini, Andrea, Wang, Xiaying, Benini, Luca
Driven by the progress in efficient embedded processing, there is an accelerating trend toward running machine learning models directly on wearable Brain-Machine Interfaces (BMIs) to improve portability and privacy and maximize battery life. However,
Externí odkaz:
http://arxiv.org/abs/2409.10654
Autor:
Mei, Lan, Cioflan, Cristian, Ingolfsson, Thorir Mar, Kartsch, Victor, Cossettini, Andrea, Wang, Xiaying, Benini, Luca
Brain-machine interfaces (BMIs) are expanding beyond clinical settings thanks to advances in hardware and algorithms. However, they still face challenges in user-friendliness and signal variability. Classification models need periodic adaptation for
Externí odkaz:
http://arxiv.org/abs/2409.09161
Microarchitectural timing channels exploit information leakage between security domains that should be isolated, bypassing the operating system's security boundaries. These channels result from contention for shared microarchitectural state. In the R
Externí odkaz:
http://arxiv.org/abs/2409.07576
Autor:
Burrello, Alessio, Carlucci, Francesco, Pollo, Giovanni, Wang, Xiaying, Poncino, Massimo, Macii, Enrico, Benini, Luca, Pagliari, Daniele Jahier
PPG-based Blood Pressure (BP) estimation is a challenging biosignal processing task for low-power devices such as wearables. State-of-the-art Deep Neural Networks (DNNs) trained for this task implement either a PPG-to-BP signal-to-signal reconstructi
Externí odkaz:
http://arxiv.org/abs/2409.07485
Autor:
Bompani, Luca, Crupi, Luca, Palossi, Daniele, Baldoni, Olmo, Brunelli, Davide, Conti, Francesco, Rusci, Manuele, Benini, Luca
The codling moth pest poses a significant threat to global crop production, with potential losses of up to 80% in apple orchards. Special camera-based sensor nodes are deployed in the field to record and transmit images of trapped insects to monitor
Externí odkaz:
http://arxiv.org/abs/2408.15911
Autor:
Scherer, Moritz, Macan, Luka, Jung, Victor, Wiese, Philip, Bompani, Luca, Burrello, Alessio, Conti, Francesco, Benini, Luca
With the rise of Embodied Foundation Models (EFMs), most notably Small Language Models (SLMs), adapting Transformers for edge applications has become a very active field of research. However, achieving end-to-end deployment of SLMs on microcontroller
Externí odkaz:
http://arxiv.org/abs/2408.04413
Autor:
Wiese, Philip, İslamoğlu, Gamze, Scherer, Moritz, Macan, Luka, Jung, Victor J. B., Burrello, Alessio, Conti, Francesco, Benini, Luca
One of the challenges for Tiny Machine Learning (tinyML) is keeping up with the evolution of Machine Learning models from Convolutional Neural Networks to Transformers. We address this by leveraging a heterogeneous architectural template coupling RIS
Externí odkaz:
http://arxiv.org/abs/2408.02473
Autor:
Zhang, Yichao, Bertuletti, Marco, Zhang, Chi, Riedel, Samuel, Vanelli-Coralli, Alessandro, Benini, Luca
We introduce an open-source architecture for next-generation Radio-Access Network baseband processing: 1024 latency-tolerant 32-bit RISC-V cores share 4 MiB of L1 memory via an ultra-low latency interconnect (7-11 cycles), a modular Direct Memory Acc
Externí odkaz:
http://arxiv.org/abs/2408.08882