Machine learning at the edge: The AI chip company challenging Nvidia and Qualcomm

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Today's demand for real-time data analytics at the edge marks the dawn of a new era in machine learning (ML): edge intelligence. That need for time-sensitive data is, in turn, fueling a massive AI chip market, as companies look to provide ML models at the edge that have less latency and more power efficiency. Conventional edge ML platforms consume a lot of power, limiting the operational efficiency of smart devices, which live on the edge.