Babak Ehteshami Bejnordi

Babak Ehteshami Bejnordi, a Research Scientist at Qualcomm AI Research, dives deep into conditional computation for optimizing neural networks. He discusses how channel gating enhances efficiency and accuracy while reducing model size. The conversation explores innovative methods for multitask learning, addressing challenges like catastrophic forgetting in continual learning. Babak also shares insights into practical applications of his research, demonstrating how these advancements transition effectively from the lab to real-world usage.