“ I started my journey on computer vision and transitioned towards AI. With time, my passion for perceptionrelated use cases increased, from pattern recognition to object recognition, to segmentation use cases, then slowly moved into the consumer industry.
“ When I joined Qualcomm, it was very synonymous with handset or mobile.
“ There’ s been a transition now to look at efficient computing and domain-specific AI engines like Qualcomm Hexagon NPU Designs. We have prioritised powerefficient AI on-device. The philosophy has now scaled well beyond smartphones into Snapdragon PCs, IoT devices, automotive ADAS and idea environments, and now data centres as well.
“ What changed is definitely the scope. We’ re now delivering AI across the distributed systems – devices, edge infrastructure and cloud environments – while staying true to its efficiency being the first foundation.”
The safeguards of edge AI Enterprises are increasingly using generative techniques like code
8 qualcomm. com