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Neuromorphic Devices: Materials, Structures and Bionic Applications.

Liqiang Zhu¹, Qing Wan²

¹School of Physical Science and Technology, Ningbo University, Ningbo 315211, China.

Nanomaterials (Basel, Switzerland)

|September 12, 2025

Summary

This summary is machine-generated.

Machine learning and Artificial Intelligence advancements require efficient data processing. This study explores energy-saving methods for handling big data from Internet of Things devices.

Area of Science:

Computer Science
Electrical Engineering
Data Science

Background:

Rapid advancements in machine learning (ML), Artificial Intelligence (AI), and Internet of Things (IoT) technologies generate massive datasets.

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Processing these large volumes of data presents significant energy consumption challenges.