Intelligent Computing: A Science Partner Journal

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Intelligent Computing: A Science Partner Journal

An Open Access journal published in affiliation with Zhejiang Lab and distributed by AAAS.

20/08/2025

“The new computational model introduces a special kind of channel called a superchannel. Unlike a regular channel in the basic virus machine model, where only a single virus from a host can be transmitted and replicated at a time, a superchannel allows all viruses within the host to be transmitted simultaneously and to spread in parallel, amplifying the virus population more rapidly and thus improving computational efficiency.”

https://www.eurekalert.org/news-releases/1087104

News release highlighting key points in “Super Virus Machines: Faster Virus Transmission, More Efficiency Using Superchannels”

19/08/2025

This paper describes the “super virus machine”, a variant of the “virus machine”, a computing method inspired by the propagation and replication of viruses. Super virus machines use superchannels to transmit and replicate multiple viruses simultaneously.

https://spj.science.org/doi/abs/10.34133/icomputing.0103

Peer-reviewed open access research article: “Super Virus Machines: Faster Virus Transmission, More Efficiency Using Superchannels”

18/08/2025

“DNA cryptography is an emerging discipline focused on achieving information security within this new paradigm. In this paper, we first present the foundational concepts of cryptography and biological technologies involved in DNA cryptography. We then comprehensively review 2 types of DNA cryptography: pseudo-DNA cryptography and natural DNA cryptography.”

https://spj.science.org/doi/abs/10.34133/icomputing.0106

Open access review article: “A Review of DNA Cryptography”

23/05/2025

“The review focuses on two main types of silicon spin qubits: gate-defined quantum dots and donor-based quantum dots. Gate-defined quantum dots are built using electric fields to trap electrons, with fabrication relying on substrates like silicon, silicon/germanium heterostructures, or silicon metal-oxide-semiconductor structures.”

https://www.eurekalert.org/news-releases/1083463

News release highlighting key points in “Single-Electron Spin Qubits in Silicon for Quantum Computing”

22/05/2025

“This review focuses on single-spin qubits in silicon. First, we start with foundational spin qubit theory. Then, we discuss gate-defined quantum dots and donor dot systems, with a particular emphasis on two-qubit gate operations and the scalability of qubit arrays. Lastly, we address long-distance coupling, highlighting key areas for future research and potential scale-up strategies for this rapidly evolving field.”

https://spj.science.org/doi/full/10.34133/icomputing.0115

Open access research article: “Single-Electron Spin Qubits in Silicon for Quantum Computing”

08/05/2025

“We introduce a 2-dimensional valence–arousal emotion model into a speech synthesis system and take inspiration from voice conversion to convert prosodic and spectral acoustic features to achieve dimensional emotional speech expression. Objective and subjective evaluation results show that the dimensional affective speech synthesized using this method can be perceived well, especially in the arousal dimension.”

https://spj.science.org/doi/full/10.34133/icomputing.0092

Open access research article: “Dimensional Affective Speech Synthesis Based on Voice Conversion”

18/04/2025

“DNA strand displacement has been applied to the innovation of computational models. By integrating computational principles with DNA strand displacement, the structured algorithms of traditional computing can be combined with random biochemical processes and chemical reactions in biological systems, enabling biocompatible models of computation.”

https://www.eurekalert.org/news-releases/1079759

News release highlighting key points in “From the Test Tube to the Cell: A Homecoming for DNA Computing Circuits?”

17/04/2025

“This review article poses the overarching question: Can complex dynamic DNA nanodevices based on strand displacement reactions be operated within, and can they interoperate with living cells? Reviewing recent literature from DNA nanotechnology and molecular computing, we explore the background, state of the art, and current challenges toward intracellular strand displacement reactions. “

https://spj.science.org/doi/abs/10.34133/icomputing.0112

Open access review article: “From the Test Tube to the Cell: A Homecoming for DNA Computing Circuits?”

16/04/2025

“Among the top-performing models, the Conv1D + BiLSTM model — a hybrid deep learning approach combining convolutional layers for feature extraction and recurrent layers for temporal patterns — achieved 94% accuracy. The Swin Transformer model, a variant of the popular transformer architecture originally developed for natural language processing, achieved 99% accuracy.”

https://www.eurekalert.org/news-releases/1077707

News release highlighting key points in “Deep Learning and Methods Based on Large Language Models Applied to Stellar Lightcurve Classification”

15/04/2025

“Light curves serve as a valuable source of information on stellar formation and evolution. With the rapid advancement of machine learning techniques, they can be effectively processed to extract astronomical patterns and information. In this study, we present a comprehensive evaluation of models based on deep learning and large language models for the automatic classification of variable star light curves.”

https://spj.science.org/doi/abs/10.34133/icomputing.0110

Open access research article: “Deep Learning and Methods Based on Large Language Models Applied to Stellar Lightcurve Classification”

24/02/2025

Special Issue Call for Papers: Advanced Intelligent Computation for Integrating Embodied Intelligence and IoT Systems
Submission deadline: October 18, 2025.

By leveraging advanced intelligent computation techniques such as machine learning, multi-agent systems, and , IoT environments can become more autonomous, context-aware, and capable of real-time decision-making. This special issue will explore how the fusion of and , within the framework of , can address the challenges of complex information integration, resource management, and adaptive decision-making in IoT ecosystems. We invite contributions that focus on novel computing paradigms, AI-based technologies, and intelligent systems designed to enhance IoT performance through embodied intelligence.

Topics of interest include, but are not limited to:

Embodied Intelligence and IoT Integration Frameworks
>> Intelligent computational models and algorithms for integrating embodied intelligence with IoT devices.
>> Sensory-motor interactions in IoT systems for dynamic environment adaptation and data processing.
>> Hybrid models combining embodied intelligence and IoT to enable distributed intelligence and autonomous decision-making.

AI-Based Intelligent Computation for IoT Systems
>> AI and techniques for enhancing the autonomous operation of IoT devices through embodied intelligence.
>> Real-time data processing, resource allocation, and decision-making frameworks in IoT systems with embodied intelligence.
>> Adaptive learning systems for optimizing the performance of IoT networks and devices in changing environments.

and for Embodied IoT Systems
>> Integration of edge computing with embodied intelligence for efficient data processing and low-latency decision-making in IoT environments.
>> Distributed intelligent systems that combine edge computing, embodied intelligence, and IoT to enable scalable and efficient solutions.
>> Collaborative decision-making and resource sharing among IoT devices and edge nodes based on embodied intelligence principles.

Domain-Specific Applications of Embodied Intelligence and IoT
>> applications, such as , integrate embodied intelligence with IoT for real-time health monitoring and decision-making.
>> systems where IoT devices and embodied intelligence collaboratively enhance traffic management and dynamic route planning.
>> and environmental monitoring, where IoT networks supported by embodied intelligence improve energy efficiency, sustainability, and urban planning.

Guest Editors
Jeffrey Xu Yu, Chinese University of Hong Kong, China
Wenjie Zhang, University of New South Wales, Australia
Ying Zhang, Zhejiang Gongshang University, China
Ji Zhang, University of Southern Queensland, Australia
Dawei Cheng, Tongji University, China
Kai Wang, Shanghai Jiao Tong University, China
Hanchen Wang, University of Technology Sydney, Australia

https://spj.science.org/page/icomputing/si/intelligent-computing-integrating-emodied-intelligence-iot-systems

14/02/2025

“When tested on a quantum simulator, the new method showed strong agreement with results from an exact eigensolver, a computational tool that calculates the energy levels of a Hamiltonian system (in this case, an Ising Hamiltonian) . Remarkably, even on real quantum devices, the method produced results with accuracy comparable to those from the simulator.”

https://www.eurekalert.org/news-releases/1072664

News release highlighting key points in “A Quantum-Classical Method Applied to Material Design: Photochromic Materials Optimization for Photopharmacology Applications”

Address

Zhejiang Lab
Hangzhou

Website

https://spj.science.org/journal/icomputing

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