Notes

Neuromorphic Applications

• Extreme Edge Computing
  • Online Anomaly Detection
    • Industrial Predictive Maintenance (PM): PM involves the health monitoring of a degrading system. Vibration patterns yield valuable information about the health state of a running machine. PM is typically applied to large industrial tasks, but could be useful for small appliances and robots as well.
  • Online HFO Detection
    • High-Frequency Oscillations (HFO) are spontaneous EEG events in the frequency range between 80 and 500 Hz consisting of at least four oscillations that clearly stand out from the baseline. HFO are biomarkers for epileptogenic brain tissue.

Neuromorphic vs Conventional Processors

Exploitation Technology Transfer and Applications We are now entering the era of neuromorphic intelligence in which dedicated cognitive "chiplets" will be used to provide intelligence to a multitude of edge-computing devices.

The Perfect "recipe" for Fabricating Neuromorphic Intelligence Devices

• "Mix" populations of mixed-signal silicon neurons and synapses.
• "Add" capacitors and volatile memristors for state dynamics and memory traces.
• "Sprinkle" distributed memory elements for parameter storage (SRAM, TCAM, non-volatile memristors).
• "Bake" with asynchronous digital circuits for event-based communication.
• "Serve" with always-on, on-line, self-supervised learning methods.

Conclusion

• Conventional AI increasing power requirements are unsustainable.
• New emerging memory technologies can benefit from massively parallel processing architectures.
• Neuroscience and Machine Learning are uncovering powerful and robust neural processing methods.
• This is the perfect time to follow the neuromorphic engineering approach for starting a hardware revolution.