The Bleeding Edge of AI
In this fireside chat from the 2018 FiRe conference, three global experts discuss what "AI on the bleeding edge" really is and really is not. There are walls being hit, returns on cycles or investment or power consumption that aren’t yet sustainable, and general issues with the shortcomings of “narrow AI” that most need our communal attention. We have a deep need to identify where we all want machine learning to go next, and for what purposes. Drag your chair over and fasten your seat belt.