Forest ecosystems are of paramount importance to the sustainable existence of life on earth.
Unique natural and artificial phenomena pose severe threats to the perseverance of such …

Insulators of the electrical power grid are usually installed outdoors, so they suffer from
environmental stresses, such as the presence of contamination. Contamination can increase …

Significant efforts are being invested to bring state-of-the-art classification and recognition to
edge devices with extreme resource constraints (memory, speed, and lack of GPU support) …

Nowadays, the usage of electronic devices running artificial neural networks (ANNs)-based
applications is spreading in our everyday life. Due to their outstanding computational …

Intelligent edge vision tasks encounter the critical challenge of ensuring power and latency
efficiency due to the typically heavy computational load they impose on edge platforms. This …

Deep learning has celebrated resounding successes in many application areas of relevance
to the Internet of Things (IoT), such as computer vision and machine listening. These …

We present a 3.1 POp/s/W fully digital hardware accelerator for ternary neural networks
(TNNs). CUTIE, the completely unrolled ternary inference engine, focuses on minimizing …

Perceiving and mapping the surroundings are essential for autonomous navigation in any
robotic platform. The algorithm class that enables accurate mapping while correcting the …

Keyword spotting (KWS) is a crucial function enabling the interaction with the many
ubiquitous smart devices in our surroundings, either activating them through wake-word or …

Sound Event Detection (SED) pipelines identify and classify relevant events in audio
streams. With typical applications in the smart city domain (eg, crowd counting, alarm …