Artificial intelligence is an energy vampire that runs on substantial computational power. Running AI applications like behavior monitoring, facial recognition software, or live object tracking in real-time, a computing system with faster and more accurate inferences is required. For this to happen, a large AI model must work closely with the source of data.
This problem of moving large amounts of data between compute and memory started with one of the earliest electronic computers, the Electronic Discrete Variable Automatic Computer (EDVAC). The compute and memory of the system were based on differing technologies and had to be operated separately by necessity.
This issue persists even today.
Inspired to solve this issue, researchers have developed an architectural innovation that sits at the intersection of brain-inspired computing and semiconductor technology. Called the NorthPole, it consumes less energy and processes data efficiently as it intertwines compute with memory on a single chip.
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