Challenges drive the state-of-the-art of automated medical image analysi...
This work proposes a first-of-its-kind SLAM architecture fusing an
event...
Learning to safely navigate in unknown environments is an important task...
Successful data representation is a fundamental factor in machine learni...
This paper demonstrates for the first time that a biologically-plausible...
We present an optimization-based theory describing spiking cortical ense...
Our motivating application is a real-world problem: COVID-19 classificat...
The omnipresence of deep learning architectures such as deep convolution...