Progress in AI-Accelerated VLSI Systems
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  1. Home /
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  3. Vol. 1 No. 1 (2026) Jan - Apr

Vol. 1 No. 1 (2026) Jan - Apr

Published: 2026-01-05

Articles

  • Learning-Guided VLSI Design Automation: AI-Driven Optimization of Power, Performance, and Area in Advanced Nodes

    Saravanakumar Veerappan
    1-8
    • PDF
    • xml
  • Reinforcement Learning-Enabled Design Space Exploration for Energy-Efficient AI Accelerator Architectures

    F. Rahman
    9-17
    • PDF
    • xml
  • Edge-Optimized VLSI Architectures for TinyML: Co-Design of AI Models and Ultra-Low-Power Hardware

    Rajan.C
    18-27
    • PDF
    • xml
  • AI-Assisted Verification and Reliability Enhancement in Complex VLSI Systems: A Data-Driven Framework

    T. Senthil
    28-36
    • PDF
    • xml
  • Thermal- and Power-Aware VLSI Optimization Using Predictive Machine Learning Models for Heterogeneous Systems

    Haitham M. Snousi
    37-43
    • PDF
    • xml
  • Beyond CMOS Scaling: AI-Accelerated VLSI Design for 3D ICs, Chiplets, and Emerging Computing Paradigms

    Namrata Mishra
    44-53
    • PDF
    • xml
  • AI-Assisted EDA Framework for Predictive Timing, Power, and Area Optimization in Deep Submicron VLSI Circuits

    Srikanth Reddy Keshi Reddy
    54-61
    • PDF

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