Advanced Sensory Processing

Spiking Neural Networks (SNNs) are revolutionizing the way we implement complex tasks and scenarios. These advanced neural networks, which mimic the functioning of biological neurons, have applications in a variety of fields. In sensory processing, SNNs enable the real-time recognition of objects and faces as well as the processing and recognition of speech or ambient sounds. In robotics and prosthetics, they control movements precisely and naturally, making them ideal for controlling robots and intelligent prostheses.

In addition, SNNs are able to perform cognitive functions such as learning, memory and adaptive behavior, making them useful for tasks such as pattern recognition and decision making. In real-time analytics systems, they improve the monitoring and analysis of data streams, whether in security and surveillance systems or in wearable health monitoring devices.

Energy Efficiency and Edge Computing

Thanks to their energy efficiency and low latency, SNNs are ideal for edge computing and the development of energy-efficient AI systems. They enable local data processing in mobile and embedded systems without having to rely on central servers.

Progress of Neuromorphic Technology

At the following graph you can see the progress of neuromorphic technology over time:

Link to the source: https://newsreleases.sandia.gov/artificial_neuron/