botlaguntapreethishnanan.hashnode.devAI-Augmented Fault Diagnosis in Semiconductor Devices for Improved Test CoverageIntroduction Semiconductor devices are the foundation of the digital age, enabling innovations in computing, telecommunications, consumer electronics, and automotive systems. As chip architectures become more complex, ensuring their functionality, re...Sep 15, 2025·6 min read
botlaguntapreethishnanan.hashnode.devPredictive Analytics for Semiconductor Equipment Maintenance Using Machine LearningIntroduction The semiconductor industry is one of the most capital-intensive manufacturing domains, where downtime in equipment can cost millions of dollars per hour. Fabrication facilities, commonly called fabs, operate 24/7 and rely on highly compl...Sep 8, 2025·6 min read
botlaguntapreethishnanan.hashnode.devMachine Learning Approaches for Defect Detection and Classification in Semiconductor WafersIntroduction Semiconductor manufacturing is a highly complex and precise process involving hundreds of sequential steps such as lithography, deposition, etching, and doping. Each wafer undergoes multiple transformations to create millions of transist...Sep 4, 2025·6 min read
botlaguntapreethishnanan.hashnode.devAI-Driven Optimization Techniques for Semiconductor Chip Testing in Advanced ManufacturingIntroduction The semiconductor industry is the backbone of modern technology, powering everything from smartphones and computers to autonomous vehicles and smart cities. As semiconductor chips become increasingly complex—featuring billions of transis...Aug 28, 2025·6 min read
botlaguntapreethishnanan.hashnode.devEvaluating the Role of Edge AI in On-Chip Self-Testing and DiagnosticsIntroduction As semiconductor devices continue to scale in complexity, the challenge of ensuring reliable operation across diverse workloads and environments has grown dramatically. Modern chips, especially those used in automotive systems, healthcar...Aug 21, 2025·6 min read
