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John S. Venker, Luke Vincent and Jeff Dix
A Spiking Neural Network (SNN) is realized within a 65 nm CMOS process to demonstrate the feasibility of its constituent cells. Analog hardware neural networks have shown improved energy efficiency in edge computing for real-time-inference applications, ...
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Sergey Shchanikov, Ilya Bordanov, Alexey Kucherik, Evgeny Gryaznov and Alexey Mikhaylov
Arrays of memristive devices coupled with photosensors can be used for capturing and processing visual information, thereby realizing the concept of ?in-sensor computing?. This is a promising concept associated with the development of compact and low-pow...
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Andrea Di Salvo, Sara Garbolino, Marco Mignone, Stefan Cristi Zugravel, Angelo Rivetti, Mario Edoardo Bertaina and Pietro Antonio Palmieri
This work presents the development of a 64-channel application-specific integrated circuit (ASIC), implemented to detect the optical Cherenkov light from sub-orbital and orbital altitudes. These kinds of signals are generated by ultra-high energy cosmic ...
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Tingjun Yang
The liquid argon time projection chamber provides high-resolution event images and excellent calorimetric resolution for studying neutrino physics and searching for beyond-standard-model physics. In this article, we review the main physics processes that...
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Leidy Catherine Díaz Montealegre, Alexander López Téllez
Pág. 8 - 14
Resumen Autores/asDescargasReferenciasCómo citar
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Rui Neves Madeira,Vitor Pires,Octávio Pascoa Dias,João Martins
Pág. pp. 37 - 44
In the last years several mobile learning courses have been experimented. The increasing popularity and additional features of mobile devices is one of the key reasons for mobile learning courses development. The superior portability and accessibility of...
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