SynSense is developing compact, event-driven, mixed-signal neuromorphic processors for general purpose Spiking Neural Networks. These processors are ideally suited for bio-signal processing that demand always-on, real-time and ultra-low-power (sub-mW).

SynSense is exploring novel algorithms and dedicated processors for processing 3D point-cloud data in real-time. We are investigating segmentation, tracking and recognition of objects in 3D. The low latency of our processors allows us to exploit the various advantages of fast solid-state LiDAR.

SynSense is developing hardware solutions for compact neuromorphic spiking resorvior computing. Our solutions enable ultra-low power (sub mW) edge sensory processing and instantaneous detection of anomalies, through continuous monitoring of body signals, like ECG, EMG and EEG from wearable devices.

SynSense is working on ultra-low-power always-on key-word and command detection based on Spiking Neural Networks (SNNs). Our technology enables us to process data adjacent to the sensor using novel algorithms specially tailored for our processors. This enables IoT devices powered by our processors to have smart audio capabilities at ultra-low power and latency.

Unique neuromorphic technology from aiCTX allows always-on vibration monitoring for industrial machines with several months of battery life. This enables fault detection in industrial machines well in advance and helps avoid any accidents and unforeseen interruptions in the production line.

SYNCH: A SYnaptically connected brain-silicon Neural Closed-loop Hybrid system

In conjunction with our consortium partners, SynSense has been awarded a four-year FET-Proactive H2020 grant from the EU. We will explore brain-silicon neural closed loop systems as a step towards designing compact, unobtrusive, brain-machine interfaces.