Inspired by the human brain — how IBM’s latest AI chip could be 25 times more efficient than GPUs by being more integrated — but neither Nvidia nor AMD have to worry just yet – TechToday

Researchers have developed a processor built on neural networks that can perform AI tasks so much quicker than conventional chips by removing the need to access external memory.

Even the best CPUs hit bottlenecks when processing data because calculations need to use RAM, with this shuttling of data back and forth creating inefficiencies. IBM is hoping to solve what is known as the Von Neumann bottleneck with its NorthPole chip, according to Nature.

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