AI is one of the most important technologies today with the potential to impact virtually every field

However its performance at the edge remains constrained by power, memory, and compute intensity. The future of AI lives at the edge, but it is currently being held back by legacy hardware.

There are four main challenges hindering modern day AI at the edge

The memory intensity of deep neural networks

The energy consumption of deep neural networks which drain the battery life of the device it is running on

Latency in inference because of the large size of deep neural networks

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Latency from having to rely on the cloud to compensate for the computational limitation of edge device

Partners

Silicon Catalyst

Silicon Catalyst is the world’s only incubator focused on semiconductor solutions. Silicon Catalyst accelerates startups from idea through prototype, and onto a path to volume production.

ventureLAB

ventureLAB has worked with over 2,000 tech ventures to provide unbiased support and direct connections for founders to raise capital, attract and retain talent, commercialize technology and IP, and acquire customers—driving innovation from prototype to product.