Advances in Hardware Design for Intelligent Computing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 92
Special Issue Editors
Interests: computer arithmetic; low-power digital design; hardware design for deep learning; VLSI signal processing architectures
Interests: integrated circuit design for security systems, encryption algorithms, and signal processing systems; methods of searching for hardware trojans in integrated circuits; hardware design for embedded systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on circuit-, architecture-, and system-level innovations that enable efficient, secure, and scalable AI/ML workloads, ranging from edge devices to data centers. The Issue welcomes contributions that translate algorithmic progress into practical hardware: energy-efficient accelerators for deep learning and emerging models, in-/near-memory and compute-in-sensor approaches, heterogeneous CPU–GPU–FPGA–ASIC platforms, and domain-specific architectures for vision, speech, robotics, and industrial analytics. We particularly encourage works addressing real-world constraints—power, latency, thermal limits, reliability, and cost—alongside co-design strategies spanning algorithms, compilers, and microarchitecture. Topics also include hardware support for sparsity, quantization, and low-precision arithmetic; reconfigurable and adaptive systems; chiplet-based integration and advanced packaging; and verification methodologies for safety-critical intelligent systems. Security and trust are integral themes, including side-channel resilience, secure inference, privacy-preserving acceleration, and robust deployment in adversarial environments. Manuscripts may present original research, reproducible benchmarks, design methodologies, or comprehensive reviews that illuminate trends and guide future intelligent computing hardware.
Dr. Ioannis Kouretas
Prof. Dr. Paris Kitsos
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- intelligent computing hardware
- AI accelerators
- edge AI
- FPGA/ASIC co-design
- in-/near-memory computing
- low precision and quantization
- sparsity-aware computing
- heterogeneous systems
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