Huma Abidi discusses the importance of optimization to deep learning frameworks. As AI evolves, it’s essential to have a full stack solution where software optimizations take advantage of hardware innovations to accelerate AI applications. Partnering with framework developers is a critical component of Intel’s AI strategy to take ML and DL models from theory to reality. Huma shares Xeon performance results and work that Intel is doing with its framework partners, such TensorFlow.
Huma Abidi is the engineering director of the Artificial Intelligence Product Group at Intel, where she is responsible for deep learning framework software optimization for Intel Xeon processors. Huma joined Intel as software engineer and has since worked in a variety of engineering, validation, and management roles in the area of compilers, binary translation, and machine learning and deep learning. She received the Intel Achievement Award for her work in the Software and Services Group and was twice recognized with the Intel Software Quality award. She is passionate about women’s education and serves on the board of directors at ROSHNI, a philanthropic organization that educates and supports underprivileged girls in India. Huma holds a BS in pre-med and chemistry and an MS in computer science from the University of Massachusetts.
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