From Perception to Understanding: The Third Wave of AI
What is the next big thing in AI? What does one need to know and prepare for to remain relevant as the industry undergoes transformation? Why is this industry transformation a necessity? In this talk, we will discuss the strengths and weaknesses of traditional Deep Learning approaches to knowledge-centric tasks and look at a blueprint hybrid architecture that could offer solutions to the problems of scalability, reliability and explainability faced by large Deep Learning models of today. Finally, we will discuss the relevant skills that are needed for one to participate at the forefront of this research.
Tanya Grinberg is a Machine Learning Data Scientist with the Emergent AI lab at Intel Labs. Previously, she co-founded Symbiokinetics, a startup focused on developing AI-assisted robotic interfaces for medical applications like neurological rehab. Her research interests include embodiment, concept formation, and human-compatible value system design.