Keynote: Machine Learning for Real – Why Principles, Efficiency, and Ubiquity Matter

In this keynote address, Perceive CEO Steve Teig will discuss how deep learning’s reliance on inefficient models based on recipes and anecdotes, rather than scientific principles and explanatory mathematics, leads to unsustainable compromises in power-efficiency, privacy, and user experience. By focusing instead on using information theory to guide the development of more rigorous, scalable machine learning, we could create models that are more predictive, power-efficient and cost-effective.