Products Technology Compute-in-Memory Dataflow Architecture Analog Computing Mythic AI Workflow Markets Smarter cities and spaces Intelligent machines and robots Smart Home AR/VR and Metaverse Drones and aerospace Blog Company AI’s immense potential is being constrained Innovation is hampered Today’s digital AI processors are tremendously expensive to develop and rely on traditional computer architectures, limiting innovation to only the largest technology companies.
Inference at the edge requires low latency, low power, and must be cost-effective and compact. Digital processors are just not able to meet these challenging needs of edge AI.
Edge AI devices based on analog compute can meet all the demanding requirements of size, performance, and power consumption. Legacy digital architectures simply can’t keep up - the future is analog.