Scaling of Hardware-Compatible Perturbative Training Algorithms

With the rapid development of artificial intelligence (AI) technology, artificial neural networks (ANNs) have achieved significant success in multiple fields. However, traditional neural network training methods—especially the backpropagation algorithm—face numerous challenges in hardware implementation. Although the backpropagation algorithm is ef...

2D Material Integrated Photonics: Toward Industrial Manufacturing and Commercialization

Academic Background With the advent of the information age, integrated circuits (ICs) have become the driving force behind technological advancements. However, traditional integrated photonics platforms, such as silicon and silicon nitride, face numerous limitations in material properties. For instance, silicon’s indirect bandgap restricts its use ...

Fast Machine Learning for Building Management Systems

Academic Background With the intensification of the global energy crisis and the increasing awareness of environmental protection, the intelligence and efficiency of Building Management Systems (BMS) have become a focal point in both academia and industry. Traditional BMS relies on rule-based control methods, which are unable to dynamically adapt t...

A Comprehensive Review of Machine Learning Applications for Internet of Nano Things: Challenges and Future Directions

Academic Background In recent years, the rapid development of nanotechnology and the Internet of Things (IoT) has given rise to a revolutionary field—the Internet of Nano Things (IoNT). The IoNT connects nanoscale devices to the internet, enabling them to play significant roles in areas such as agriculture, military, multimedia, and healthcare. How...

Challenges in Detecting Security Threats in WoT: A Systematic Literature Review

With the rapid development of the Internet of Things (IoT) and Web of Things (WoT), security issues have become increasingly prominent. In particular, the frequent occurrence of Denial of Service (DoS) attacks has made the security of WoT systems an urgent problem to be addressed. WoT achieves seamless connectivity between IoT devices and the inter...

Towards Sustainable Perovskite Light-Emitting Diodes

As global attention to energy efficiency and environmental sustainability continues to grow, light-emitting diode (LED) technology has become a mainstream choice in the lighting and display sectors. However, despite significant advancements in the energy efficiency and performance of traditional LEDs, their reliance on rare materials during manufac...

Secure Finite-Time Filtering for Switched Fuzzy Systems with Scaling Attacks and Stochastic Sensor Faults

Research on Secure Finite-Time Filter Design for Switched Fuzzy Systems Academic Background In modern control systems, switched systems and fuzzy systems have garnered significant attention due to their effectiveness in handling complex nonlinear dynamics. However, with the proliferation of networked systems, these systems face threats from sensor ...

Nonlinear Displacement Control and Force Estimation in a Piezoelectric Robotic Manipulator

Academic Background In the fields of engineering and materials science, precise control of robotic manipulator displacement and force is crucial for studying the mechanical properties of materials, especially when dealing with objects exhibiting nonlinear viscoelastic deformation. For instance, in textiles, aerospace, medical, and energy production...

Hierarchical Non-Singular Terminal Sliding Mode Control for Constrained Under-Actuated Nonlinear Systems Against Sensor Faults

Background Introduction In modern engineering practices, under-actuated systems are widely used in fields such as overhead cranes, wheeled inverted pendulums, and snake robots due to their simple structure, low energy consumption, and high flexibility. However, the number of control inputs in under-actuated systems is less than the degrees of freed...

Fixed-Time Observation and Control for Network Systems: A Distributed Event-Based Saturation Adaptive Method

Academic Background Complex Networks (CNs) play a crucial role in fields such as sociology, engineering, and natural sciences, and are widely applied in scenarios like power distribution, traffic dispatching, and multi-agent collaboration. However, due to factors such as communication packet loss, sensor noise, and environmental uncertainties, obta...