This paper introduces the Perplexus hardware platform, a scalable computing substrate made of custom reconfigurable devices endowed with bio-inspired capabilities. This platform w...
Andres Upegui, Yann Thoma, Eduardo Sanchez, Andr&e...
This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
Many scientific and engineering applications, which are increasingly being ported from software to reconfigurable platforms, require Gaussian-distributed random numbers. Thus, the...
Hassan Edrees, Brian Cheung, McCullen Sandora, Dav...
Microprocessors are today getting more and more inefficient for a growing range of applications. Its principles -The Von Neumann paradigm[3]- based on the sequential execution of ...
Commercial SRAM-based FPGAs have the potential to provide aerospace applications with the necessary performance to meet next-generation mission requirements. However, the suscepti...