ai at a crossroad another winter or a new third wave 2

It has been over three decades since the statistical revolution overtook AI by a storm and over two decades since deep learning (DL) helped usher the latest resurgence of artificial intelligence (AI). However, the disappointing progress in conversational agents, NLU, and self driving cars, has made it clear that progress has not lived up to the promise of these empirical and data driven methods. DARPA has suggested that it is time for a third wave in AI, one that would be characterized by hybrid models, models that combine knowledge based approaches with data driven machine learning techniques. This panel discussion will focus on these issues: is it time to rethink the dominant paradigm? What else is needed? Is it hybrid models an amalgamation of the previous two waves? If so, what will these hybrid models look like? Or is the third wave something entirely new?

Speakers

Tim Scarfe