An IBM chip that mimics the brain can run AI-powered image recognition algorithms 22 times faster than any commercial chip
A brain-inspired computer chip can run AI-powered image recognition operations 22 times faster than comparable commercial chips, and with 25 times the energy efficiency.
The IBM NorthPole chip intertwines its computational capability with associated memory blocks that store information. This allows it to bypass the so-called the von Neumann bottleneck – named after computing pioneerThe melding of computation and memory was inspired by the way the human brain works. IBM had previously built a chip based on this idea.
Modha and his colleagues designed NorthPole as a 2D array of intertwined computing cores and memory blocks.
However, its design, which is specialised for running AI processes, comes at a cost. NorthPole cannot perform other tasks – AI training, for instance – and it also cannot easily run larger AI models. But Modha’s team plans to demonstrate how multiple NorthPole chips could support large language models.by simultaneously training and performing tasks. “Their contribution to AI may be everlasting if they included such lifelong adaptation on an otherwise frozen architecture,” she says.
The NorthPole chip prototype is unlikely to be commercialised immediately. But such digital architecture redesigns will be important for enabling AIs to run efficiently on the computing hardware of self-driving vehicles and aircraft, writes Iyer.
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