9 citations · 9 across the 2 of their papers we have counts for
3 papers
Learning-to-learn enables rapid learning with phase-change memory-based in-memory computing
Thomas Ortner, Horst Petschenig, Athanasios Vasilopoulos +7
There is a growing demand for low-power, autonomously learning artificial intelligence (AI) systems that can be applied at the edge and rapidly adapt to the specific situation at d…
LIPSFUS: A neuromorphic dataset for audio-visual sensory fusion of lip reading
Antonio Rios-Navarro, Enrique Piñero-Fuentes, Salvador Canas-Moreno +3
This paper presents a sensory fusion neuromorphic dataset collected with precise temporal synchronization using a set of Address-Event-Representation sensors and tools. The target…
Comprehensive Evaluation of OpenCL-based Convolutional Neural Network Accelerators in Xilinx and Altera FPGAs
R. Tapiador, A. Rios-Navarro, A. Linares-Barranco +3
Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from both industry and academia. Special interest is around Convol…