AI tech: are your neural networks convoluted? Try spikes.

The application of artificial intelligence across industries depends on hardware acceleration, and some of the ways that’s being done was detailed at a recent Nvidia conference for GPU (graphics processing unit) developers, held in Tel Aviv.

But the advance of neural networks is itself branching out, from the computationally intensive convoluted neural networks (CNNs) to the emerging spiking neural networks (SNNs), also known as neuromorphic computing.

Nvidia’s chief scientist, Bill Dally, was dismissive of the challenge presented by SNNs, saying that because the design is inspired by biological systems, computation is analog, and therefore inefficient. He compared it to “making airplanes that flap wings.”

Robert Beachler, SVP, BrainChip

ASX-listed firm BrainChip recently announced that it’s going to market with the Akida Neuromorphic System-on-Chip (NSoC) for embedded vision, cybersecurity, and fintech, targeting a $10 price point for the chip.

We asked Robert Beachler, SVP of marketing and business development to explain how SNNs are developing for fintech applications.

Fintech Capital Markets: How would you respond to Bill Dally’s description of SNNs?

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