The Semiconductor AI Will Design The Silicon It Needs

Photo by Google DeepMind on Unsplash Artificial General Intelligence (AGI) is a hypothetical type of artificial intelligence that can understand or learn any intellectual task a human can. AGI is still a long way off, but if achieved, it could profoundly impact several technological areas, including the design of silicon chips used for AI applications. One of the biggest challenges in designing silicon chips is balancing performance with power consumption, apart from enabling a set of blocks to process and manage the workload without slowing down the system. As chips become more powerful, they also become more power-hungry. AGI could solve this problem by identifying the bottlenecks in current silicon chip designs across numerous fragments and their workloads. AGI could then use this information to develop unique design architectures that […]

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