lab at new york city, a lab in cambridge massachusetts, a lab in cambridge england, a lab in bangalore india, and a sister lab in beijing china. all of us do basic research in computer science and other disciplines. peter: what are you most excited about in the pipeline? jeannette: one of the most exciting thing is happening now which you can see in some of the demos today is how we are tackling the big ai problem the ability for machines to actually solve problems that humans are good at solving. humans are really good at vision. they can look at a picture and tell you immediately what are the objects in that picture. machines had a hard time doing that, but we have been making some breakthroughs in machine learning and artificial attend luncheon's -- and artificial intelligence. a we are going to see this in speech, vision, natural language processing, and all sorts of tasks that humans are good at. what we can do in computing is put all of these things together. by putting all of these things together with integrative ai, then we can have a single machine actually start making -- start cr

lab in new york city, a lab in cambridge massachusetts, a lab in cambridge england, a lab in bangalore india and we also have a sister lab in beijing, china. and all of us do basic research in computer science and other disciplines. >> host: what are you most excited about that is currently in the pipeline and perhaps public? >> guest: i think one of the most exciting things that is happening now which you can actually see in some of the demos today is how we are really tackling the big a.i. problem the ability for machines to actually solve problems that humans are good at solving. so is, for instance, humans are really good at vision. they can look at a picture and tell you immediately what are the objects in that picture. machines up until very recently had a hard time doing that, believe it or not. but we have been making some breakthroughs in machine learning in artificial intelligence, that are enabling machines to come close to performing as well as humans in some of these tasks. and we're going to see this in speach, in vision, in natural language processing, in all sorts of paths th

anand: we are going to make arrow structure -- arrow structur\erostructure out of india and bangalorehat we imported out of a factory that was being run in australia. this was machinery and equipment that was already made in the past. in spite of that, it took a long while to get a prices is -- our processes to buy airbus. we went through the inspection and validation process. but all is well that is will -- ends well. it bodes well for india's aspirations in the aerospace industry. what we think is that this is just the tip of the iceberg. once the order is executed we are going to get more of such orders. i think that airbus is looking at india as a major destination for the global supply chain. erik: you say you're going to win more orders. more orders from airbus or do you think you could become a part supplier to boeing as well? anand: that is the aspiration indeed. we personally have enough capacity to produce all kinds of customers in the aerospace industry. the plant that we acquired in australia had been put up by boeing for manufacturing parts out there. they know the plant