Published 25-11-2021
Keywords
- Semiconductors,
- AI chips,
- artificial intelligence,
- machine learning,
- smart devices
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Abstract
The semiconductor industry is the fulcrum of digital revolution in the contemporary era, driving cutting-edge technologies that characterize the world today as being interconnected. Increasing demands for smart, rapid, and efficient computing continue to drive semiconductor innovation to new frontiers of possibility. In the next decade, the world semiconductor market will see explosive growth driven by disruptive technologies like artificial intelligence (AI), autonomous cars, 5G networks, and the Internet of Things (IoT). Of these, AI semiconductors, or AI chips, are proving to be a game-changer, offering peak processing and power efficiency for demanding machine learning and deep learning applications.
AI chips represent a new frontier in microprocessor design, created to speed up AI computations with unprecedented speed and efficiency. Unlike regular processors, the chips have specialized architectures, including neural processing units (NPUs) and tensor processing units (TPUs), to maximize AI workloads. Their reach spans across industries, ranging from automobile innovation supporting autonomous capability to intelligent homes with intelligent automation, robotics revolutionizing manufacturing, and AI-driven healthcare innovations. As more industries rely on AI-driven decision-making, development of semiconductor technology will play a defining role in determining the future digital economy.
This piece discusses the sudden surge of AI chips, in the wake of crucial technology innovations, competition among industries, and future trends that are shaping this new wave of semiconductor advancements. Additionally, it also points to the strategic significance of AI chips to revolutionize industries and fuel digital programs in the future.
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References
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