IEEE Journal on Emerging and Selected Topics in Circuits and Systems
Scope & Guideline
Advancing innovation in circuits and systems.
Introduction
Aims and Scopes
- Emerging Circuits and Systems Technologies:
The journal emphasizes research on cutting-edge circuit and system designs, including neuromorphic computing, quantum systems, and advanced integrated circuits. - Interdisciplinary Applications:
Papers often explore the intersection of circuits with areas such as artificial intelligence, machine learning, and edge computing, showcasing how circuit innovations can enable new applications. - Energy Efficiency and Sustainability:
A consistent focus on energy-efficient designs and sustainable practices in circuit and system design, particularly in the context of low-power electronics and renewable energy integration. - Advanced Computing Architectures:
Research on novel computing architectures, including in-memory computing, processing-in-memory, and specialized accelerators for deep learning and AI applications. - Quantum Computing and Cryptography:
The journal includes studies on quantum circuits, cryptographic methods, and their applications, reflecting the rising importance of quantum technologies. - Network-on-Chip and Communication Systems:
Exploration of communication-aware architectures and protocols, particularly in the context of multi-core and many-core systems.
Trending and Emerging
- Neuromorphic and Brain-Inspired Computing:
Research on circuits and systems that mimic neural processes is on the rise, driven by the demand for efficient AI and machine learning capabilities. - Processing-in-Memory Architectures:
There is a growing focus on integrating processing capabilities within memory systems to enhance performance and reduce energy consumption, particularly in AI applications. - Quantum Computing Innovations:
An increase in studies related to quantum circuits and their applications in computation and cryptography is being observed, in line with the global interest in quantum technologies. - Edge Computing Solutions:
Papers addressing the design of circuits and systems for edge computing are trending, emphasizing low-latency, energy-efficient solutions for real-time applications. - Generative Models and AI-Driven Design:
Research leveraging generative models for circuit design and optimization is emerging, indicating a shift towards data-driven methodologies in engineering. - Cybersecurity in Circuits and Systems:
There is an increasing emphasis on security measures in circuit design, particularly in the context of hardware vulnerabilities and adversarial machine learning.
Declining or Waning
- Traditional Analog Circuit Design:
There has been a noticeable decline in publications focusing on conventional analog circuit design, as the field shifts towards digital and mixed-signal approaches. - Basic Signal Processing Techniques:
Research centered on fundamental signal processing methodologies is less prevalent, as more complex, application-driven approaches gain traction. - General Purpose Computing Systems:
The interest in generic computing systems without specialized architectures is waning, as there is a clear trend towards tailored solutions for specific applications. - Passive Components and Basic Circuit Elements:
Studies focusing solely on passive components (like resistors, capacitors, and inductors) are becoming less frequent, as the emphasis shifts towards integrated and active components that offer higher performance.
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