In a few years, the world will be populated by billions of connected devices that will be
placed in our homes, cities, vehicles, and industries. Devices with limited resources will …

Resource-constrained IoT devices, such as sensors and actuators, have become ubiquitous
in recent years. This has led to the generation of large quantities of data in real-time, which …

The market for remote sensing space-based applications is fundamentally limited by up-and
downlink bandwidth and onboard compute capability for space data handling systems. This …

The NVIDIA Volta GPU microarchitecture introduces a specialized unit, called Tensor Core
that performs one matrix-multiply-and-accumulate on 4x4 matrices per clock cycle. The …

The increasing demand for high-resolution hyperspectral images from nano and
microsatellites conflicts with the strict bandwidth constraints for downlink transmission. A …

Vision-based navigation has become increasingly important in a variety of space
applications for enhancing autonomy and dependability. Future missions, such as active …

Current deep learning architectures are growing larger in order to learn from complex
datasets. These architectures require giant matrix multiplication operations to train millions …

Abstract Deep Neural Network (DNN) models for both resource-rich environments and
resource-constrained devices have become abundant in recent years. As of now, the …

Continuous computer vision (CV) tasks increasingly rely on convolutional neural networks
(CNN). However, CNNs have massive compute demands that far exceed the performance …

Stereo vision is an important feature that enables machine vision systems to perceive their
environment in 3D. While machine vision has spawned a variety of software algorithms to …