#chetanpatil – Chetan Arvind Patil
DALL-E The research from the University of Illinois Urbana-Champaign, the National Energy Technology Laboratory, Oak Ridge National Laboratory, and the Taiwan Semiconductor Manufacturing Company has unveiled a novel use of coal in microelectronics. It leads to the question of whether coal (a resource that is widely available
Photo by Carlos Irineu da Costa on Unsplash The semiconductor industry has been at the forefront of technological innovation for decades, driving progress in computing, communications, and consumer electronics. In recent years, the industry has seen significant advancements in materials science, with the development of new materials and processes that
Photo by Vishnu Mohanan on Unsplash The semiconductor market has evolved rapidly and will grow significantly in the coming years. The emergence of new areas, such as artificial intelligence, machine learning, and autonomous vehicles, will drive this growth. However, this growth will also bring challenges, such as increased competition and
Hi, I am Chetan Arvind Patil (chay-tun – how to pronounce), a semiconductor professional whose job is turning data into products for the semiconductor industry that powers billions of devices around the world. And while I like what I do, I also enjoy biking, working on few ideas, apart from writing, and talking about interesting developments in hardware, software, semiconductor and technology.
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DALL-E Continuous Package-Level Scaling Moore’s Law, which predicted the doubling of transistors every two years, is slowing down due
DALL-E Semiconductor Defect Pattern Analysis The relentless drive for higher performance, lower power consumption, and increased functionality in semiconductor
DALL-E The Growing Need For High-Speed Interconnects As AI workloads grow exponentially, the demand for faster, more efficient interconnects
DALL-E Specialized Process The semiconductor industry is no longer defined solely by the race for smaller nodes, such as
DALL-E What Is Hybrid AI? Hybrid AI represents a paradigm shift in AI architecture. Instead of relying solely on
