Stacey Higginbotham: Qualcomm is researching machine learning at the edge
4/11/2021 – 11:31
Regular newsletter readers know that I am beyond excited about machine learning (ML) at the edge. Running algorithms on gateways — or even on sensors — instead of sending data to the cloud to be analyzed can save time, bandwidth costs, and energy, and can protect people’s privacy.
So far, ML at the edge has only involved inference, the process of running incoming data against an existing model to see if it matches. Training the algorithm still takes place in the cloud. But Qualcomm has been researching ways to make the training of ML algorithms at the edge less energy-intensive, which means it could happen at the edge.