Open Source at Qualcomm AI Research with Jeff Gehlhaar and Zahra Koochak - #414
Analysis
This article from Practical AI provides a concise overview of a conversation with Jeff Gehlhaar and Zahra Koochak from Qualcomm AI Research. It highlights the company's recent developments, including the Snapdragon 865 chipset and Hexagon Neural Network Direct. The discussion centers on open-source projects like the AI efficiency toolkit and Tensor Virtual Machine compiler, emphasizing their role within Qualcomm's broader ecosystem. The article also touches upon their vision for on-device federated learning, indicating a focus on edge AI and efficient machine learning solutions. The brevity of the article suggests it serves as a summary or announcement of the podcast episode.
Key Takeaways
- •Qualcomm is actively involved in open-source AI projects, including the AI efficiency toolkit and Tensor Virtual Machine compiler.
- •The discussion covers Qualcomm's advancements in AI, including the Snapdragon 865 chipset and Hexagon Neural Network Direct.
- •The company is exploring on-device federated learning, indicating a focus on edge AI and efficient machine learning.
Reference
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