Additive Manufacturing of Neuromorphic Systems

Area of Science:

• Neuromorphic Engineering
• Additive Manufacturing (AM)
• Materials Science

Background:

• Neuromorphic engineering seeks to replicate brain functions using electronic hardware and neural network software.
• Current neuromorphic hardware fabrication has limited integration with advanced manufacturing technologies like AM.
• A gap exists in applying AM's multimaterial microscale processing capabilities to neuromorphic systems.

Purpose of the Study:

• To review the state-of-the-art in AM-printed neuromorphic hardware.
• To discuss the integration of AM techniques with neuromorphic engineering.
• To provide an outlook on the future of printed neuromorphic systems.

Main Methods:

• Review of current literature on AM techniques for neuromorphic hardware.
• Analysis of synaptic electronics and mechanical systems fabricated using AM.
• Discussion on the integration challenges and opportunities between AM and neuromorphic engineering.

Main Results:

• AM enables the fabrication of customizable neuromorphic hardware with high design flexibility.
• Printed neuromorphic systems offer potential for low cost and reduced environmental impact.
• AM integration facilitates prototyping of efficient analog computing architectures.

Conclusions:

• Additive manufacturing presents a promising pathway for scalable and affordable neuromorphic hardware production.
• The synergy between AM and neuromorphic engineering can drive innovation in brain-inspired computing.
• Future advancements in AM technologies will enhance throughput and resolution for neuromorphic applications.