Jeff Gehlhaar

Jeff Gehlhaar, VP of Technology at Qualcomm, dives into the world of AI compilers and their importance in managing parallelism. He highlights Qualcomm's latest innovations, including AI Engine Direct, which bridges capabilities across devices. The conversation covers how research on compression and quantization is translated into real products and the competitive landscape of ML compilers like Glow and TVM. Additionally, Jeff discusses advancements in benchmarking and the integration of AI frameworks that enhance smartphone performance.

In this engaging discussion, Jeff Gehlhaar, Vice President of Technology at Qualcomm, shares insights on deploying real-world neural networks and the intricacies of on-device quantization. He emphasizes the synergy between product development and research teams, revealing innovations that optimize AI performance across devices. Jeff highlights exciting automotive applications, particularly automated driver assistance, and discusses the evolution of AI development tools, paving the way for future advancements in technology.

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.