Development of Physical Artificial Neural Networks based on Shape Memory Materials for Emulating Human Brain Properties [Rigene Project]
Project Title: Development of Physical Artificial Neural Networks based on Shape Memory Materials for Emulating Human Brain Properties [ https://chat.openai.com/share/883e93bc-6881-452a-b3ee-c1f007615fd0 ] Introduction: Physical Artificial Neural Networks (PANNs) represent an exciting prospect in the field of artificial intelligence, as they aim to emulate the physical and functional properties of the human brain, such as synaptic plasticity, adaptability, and energy efficiency. The recent development of a material composed of microparticles of liquid crystal elastomers dispersed in a silicone polymer matrix, with shape memory and programmability characteristics, opens new possibilities in the implementation of PANNs. Project Objectives: Material Suitability Assessment: Examine the suitability of the shape memory material described in the paper as a basis for creating neural components in physical artificial neural networks. Design of PANN Architecture: Develop a novel architecture...