Energy-efficient neural network using an anisotropy field gradient-based self-resetting neuron and meander synapse

• Main Authors: Dhull, Seema, Mah, William Wai Lum, Nisar, Arshid, Kumar, Durgesh, Rahaman, Hasibur, Kaushik, Brajesh Kumar, Piramanayagam, S. N.
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2024
• Subjects: Physics; Anisotropy field; Domain wall devices
• Online Access: https://hdl.handle.net/10356/180493
• Institution: Nanyang Technological University

Neuromorphic computing (NC) is considered a potential solution for energy-efficient artificial intelligence applications. The development of reliable neural network (NN) hardware with low energy and area footprints plays a crucial role in realizing NC. Even though neurons and synapses have already b...