Artificial intelligence (AI) is generally viewed in terms of a big computing solution as it makes the leap from the lab to production environments. In the public consciousness, AI is complex algorithms crunching vast amounts of data drawn from hyperscale cloud resources and all of this will create profound, transformative changes to business processes and models.
Lately, however, a different form of AI has emerged: narrower in focus individually and less broad in reach. It’s called embedded AI and because it exists on the device, SoC or even the processor itself it is by nature broadly distributed, particularly out on the edge. This gives it the potential to be an even more significant advancement than enterprise AI, supporting life-changing applications ranging from autonomous vehicles to the metaverse.