Zahra Koochak

Staff Machine Learning Engineer at Qualcomm AI Research, focusing on model efficiency for edge devices and contributing to open-source projects like the AI Model Efficiency Toolkit (AMET).

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Sep 30, 2020 • 42min

Open Source at Qualcomm AI Research with Jeff Gehlhaar and Zahra Koochak - #414

Jeff Gehlhaar, Vice President of Technology at Qualcomm, and Zahra Koochak, Staff Machine Learning Engineer, dive into the exciting world of mobile AI. They unveil advancements in the Snapdragon 865 chipset and discuss the AI Model Efficiency Toolkit designed for edge devices. The duo explores federated learning, enhancing privacy through on-device data processing. With insights into integrating tools like TensorFlow and the MLIR framework, they spotlight collaborations shaping the future of AI efficiency and open-source innovation at Qualcomm.

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