Santa Clara University, USA.
World Journal of Advanced Research and Reviews, 2025, 26(02), 886-894
Article DOI: 10.30574/wjarr.2025.26.2.1396
Received on 14 March 2025; revised on 30 April 2025; accepted on 02 May 2025
Semiconductor verification frameworks serve as essential catalysts for sustainable innovation in our connected world. Modern verification tools enable the development of energy-efficient integrated circuits that power IoT, AI, and green computing applications. By identifying design flaws early, these frameworks minimize rework and reduce the environmental footprint of semiconductor manufacturing. The benefits extend beyond productivity, enabling transformative applications in healthcare, renewable energy, and transportation. Machine learning integration has enhanced verification workflows, making them more efficient and scalable. Greater collaboration between academia, industry, and policymakers is needed to advance verification technologies and promote sustainable semiconductor innovation.
Semiconductor Verification; Sustainable Innovation; Energy Efficiency; Machine Learning Integration; Societal Impact
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Siddharth Ravikumar. Semiconductor verification: Driving sustainable innovation for a smarter society. World Journal of Advanced Research and Reviews, 2025, 26(2), 886-894. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.1396