#chetanpatil – Chetan Arvind Patil
Photo by Jelleke Vanooteghem on Unsplash The use cases of Artificial Intelligence are increasing year after year. To deliver the much-required performance, the silicon technology platform is critical. The computing industry has developed different types of AI-inspired applications and is now looking for a perfect silicon architecture that can cater
Photo by DeepMind on Unsplash System-On-A-Chip (SoC) has been in the market for decades. The core-level features have provided the much-needed processing capabilities to drive data-driven applications. However, the capabilities provided by the underlying architecture of SoC are not suitable for applications that are always crunching and training the data.
Photo by Oleg Gospodarec on Unsplash There are thousands of different types of semiconductor chips in the market. Year after year, the number is only increasing. Thus, creating a large pool of options to choose from while also enabling customers with different feature sets. Ideally, this should be positive news
Photo by Maxence Pira on Unsplash The semiconductor node is the most vital technical topic in the semiconductor industry. Technology node forms the basis for developing different types of silicon products. Over the last decade, top semiconductor manufacturers have invested a lot of time and capital to bring new semiconductor
Photo by Maxence Pira on Unsplash The semiconductor ecosystem comprises distributed end-to-end semiconductor processes. These processes cover a different aspects of silicon development. It ranges from the market requirement, then moves to design, validation and if all goes as planned, then eventually mass manufacturing. However, these steps are not guaranteed
Photo by Maxence Pira on Unsplash Adaptive, specialized, and the balance of power and performance have become a central point for designing different types of efficient processing units. To help with this vision, FPGAs have become an integral part. Mainly due to the features FPGA architecture provides. Currently, the market
Photo by Mathew Schwartz on Unsplash Data has become more relevant than ever for semiconductor product development. More so when the applications of silicon devices are increasing year after year and touching every aspect of day-to-day life. As the semiconductor data complexity increase This increase in the importance of semiconductor
Photo by Patrick Perkins on Unsplash The semiconductor market has always followed the seesaw mode. With a seesaw, there are time intervals when the market has high demand followed by low demand. This trend impacts the semiconductor in different possible ways, and one of them is the long-term product development
Photo by Farai Gandiya on Unsplash Semiconductor speed is dependent on performance characteristics. These characteristics define the operating states and how fast or slow the silicon-based system will operate. Over the last five decades, the semiconductor speed has only increased exponentially. Consider the example of the CPU core. Today, the
Photo by Christophe Hautier on Unsplash Semiconductor manufacturing relies heavily on the semiconductor FAB and OSAT. Semiconductor FAB turns the design into fabricated wafers. On another side, OSATs convert fabricated wafers into finished goods. End customers to develop consumer and enterprise solutions using the finished goods. Semiconductor FAB and OSAT
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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Opinions expressed here are my own and may not reflect those of others. Unless I am quoting someone, they are just my own views.
DALL-E OpenAI’s involvement in semiconductor chip development could mark a significant shift in the industry, bringing about advancements in
Adobe Firefly Several companies have established themselves as prominent mobile System-On-A-Chip (SoC) technology players. The landscape is characterized by
Adobe Firefly In semiconductor manufacturing, lithography is a pivotal process. It involves transferring circuit patterns onto a silicon wafer,
Adobe Firefly Graphics Processor Units (GPUs) have become the default go-to architecture whenever the requirement is for faster throughput.
Adobe Firefly What Is Semiconductor Yield Management: The manufacturing of semiconductor devices is a highly intricate process that involves
