Zobrazeno 1 - 10
of 3 370
pro vyhledávání: '"Benini, P."'
Nano-drones, with their small, lightweight design, are ideal for confined-space rescue missions and inherently safe for human interaction. However, their limited payload restricts the critical sensing needed for ego-velocity estimation and obstacle d
Externí odkaz:
http://arxiv.org/abs/2412.10048
Autor:
Strohsack, J., Shumilin, A., Zhao, H., Jecl, G., Kabanov, V. V., Benini, M., Rakshit, R., Dediu, V. A., Rogers, M., Ozdemir, S., Cespedes, O., Parlak, U., Cinchetti, M., Mertelj, T.
The interface between a ferromagnetic metal and an organic molecular semiconductor, commonly referred to as a spinterface, is an important component for advancing spintronic technologies. Hybridization of the ferromagnetic-metal surface d orbitals wi
Externí odkaz:
http://arxiv.org/abs/2412.08677
This paper revisits the equivalence problem between algebraic quantum field theories and prefactorization algebras defined over globally hyperbolic Lorentzian manifolds. We develop a radically new approach whose main innovative features are 1.) a str
Externí odkaz:
http://arxiv.org/abs/2412.07318
Autor:
Belano, Andrea, Tortorella, Yvan, Garofalo, Angelo, Benini, Luca, Rossi, Davide, Conti, Francesco
Transformer-based generative Artificial Intelligence (GenAI) models achieve remarkable results in a wide range of fields, including natural language processing, computer vision, and audio processing. However, this comes at the cost of increased compl
Externí odkaz:
http://arxiv.org/abs/2412.06321
Contextual Artificial Intelligence (AI) based on emerging Transformer models is predicted to drive the next technology revolution in interactive wearable devices such as new-generation smart glasses. By coupling numerous sensors with small, low-power
Externí odkaz:
http://arxiv.org/abs/2412.04372
Autor:
Li, Yawei, Ren, Bin, Liang, Jingyun, Ranjan, Rakesh, Liu, Mengyuan, Sebe, Nicu, Yang, Ming-Hsuan, Benini, Luca
While vision transformers show promise in numerous image restoration (IR) tasks, the challenge remains in efficiently generalizing and scaling up a model for multiple IR tasks. To strike a balance between efficiency and model capacity for a generaliz
Externí odkaz:
http://arxiv.org/abs/2411.18588
Fine-tuning large-scale text-to-image diffusion models for various downstream tasks has yielded impressive results. However, the heavy computational burdens of tuning large models prevent personal customization. Recent advances have attempted to empl
Externí odkaz:
http://arxiv.org/abs/2410.21759
Autor:
Wessner, Marc-Andre, Villani, Federico, Papa, Sofia, Keller, Kirill, Ferrari, Laura, Greco, Francesco, Benini, Luca, Leitner, Christoph
Accurate characterization of ferroelectric properties in polymer piezoelectrics is critical for optimizing the performance of flexible and wearable ultrasound transducers, such as screen-printed PVDF devices. Standard charge measurement techniques, l
Externí odkaz:
http://arxiv.org/abs/2410.16581
This work explores the feasibility of employing ultrasound (US) US technology in a wrist-worn IoT device for low-power, high-fidelity heart-rate (HR) extraction. US offers deep tissue penetration and can monitor pulsatile arterial blood flow in large
Externí odkaz:
http://arxiv.org/abs/2410.16219
Autor:
Ottaviano, Alessandro, Balas, Robert, Fischer, Tim, Benz, Thomas, Bartolini, Andrea, Benini, Luca
The increasing complexity of real-time control algorithms and the trend toward 2.5D technology necessitate the development of scalable controllers for managing the complex, integrated operation of chiplets within 2.5D systems-in-package. These contro
Externí odkaz:
http://arxiv.org/abs/2410.15985