Challenges to Building Smart Robots: Part 1

In this episode, Byron talks about robot vision. For more on Artificial Intelligence: https://voicesinai.com https://gigaom.com https://byronreese.com https://ift.tt/31WftGA... Transcript: In our quest to build robots with artificial intelligence, we face five distinct challenges. The first of these is the problem of the robot being able to see. You can put a camera on a robot, but that just gets you data. The robot has to discern what all that data is. When you look inside your refrigerator, you see a bunch of items, but a robot just sees a bunch of pixels - millions of specks of light and color. It doesn't know what a shelf is, or a drawer, or a can, or a jar. It just sees an undifferentiated mass of pixels. How do you even start to make sense of that? How do you go from those numbers to “That's a gallon of milk”? It's quite difficult. The number of things that go on in your brain when you look in the refrigerator is complex in the extreme. A description of how your mind performs that minor miracle would require pages of technobabble about polygons and cones and layers. The way you can, for instance, identify the architectural style of a house, or tell a duck in flight, or how you tell twins apart, or any of the other 100 similar tasks that you effortlessly do is the envy of AI programmers everywhere. https://ift.tt/2BMQmu2 gigaom October 28, 2019 at 06:49PM